research meaning in study

• Skip to main content
• Skip to primary sidebar
• Skip to footer
• QuestionPro

• Solutions Industries Gaming Automotive Sports and events Education Government Travel & Hospitality Financial Services Healthcare Cannabis Technology Use Case NPS+ Communities Audience Contactless surveys Mobile LivePolls Member Experience GDPR Positive People Science 360 Feedback Surveys
• Resources Blog eBooks Survey Templates Case Studies Training Help center

Home Market Research

What is Research: Definition, Methods, Types & Examples

The search for knowledge is closely linked to the object of study; that is, to the reconstruction of the facts that will provide an explanation to an observed event and that at first sight can be considered as a problem. It is very human to seek answers and satisfy our curiosity. Let’s talk about research.

Content Index

What is Research?

What are the characteristics of research.

• Comparative analysis chart

Qualitative methods

Quantitative methods, 8 tips for conducting accurate research.

Research is the careful consideration of study regarding a particular concern or research problem using scientific methods. According to the American sociologist Earl Robert Babbie, “research is a systematic inquiry to describe, explain, predict, and control the observed phenomenon. It involves inductive and deductive methods.”

Inductive methods analyze an observed event, while deductive methods verify the observed event. Inductive approaches are associated with qualitative research , and deductive methods are more commonly associated with quantitative analysis .

Research is conducted with a purpose to:

• Identify potential and new customers
• Understand existing customers
• Set pragmatic goals
• Develop productive market strategies
• Address business challenges
• Put together a business expansion plan
• Identify new business opportunities
• Good research follows a systematic approach to capture accurate data. Researchers need to practice ethics and a code of conduct while making observations or drawing conclusions.
• The analysis is based on logical reasoning and involves both inductive and deductive methods.
• Real-time data and knowledge is derived from actual observations in natural settings.
• There is an in-depth analysis of all data collected so that there are no anomalies associated with it.
• It creates a path for generating new questions. Existing data helps create more research opportunities.
• It is analytical and uses all the available data so that there is no ambiguity in inference.
• Accuracy is one of the most critical aspects of research. The information must be accurate and correct. For example, laboratories provide a controlled environment to collect data. Accuracy is measured in the instruments used, the calibrations of instruments or tools, and the experiment’s final result.

What is the purpose of research?

There are three main purposes:

• Exploratory: As the name suggests, researchers conduct exploratory studies to explore a group of questions. The answers and analytics may not offer a conclusion to the perceived problem. It is undertaken to handle new problem areas that haven’t been explored before. This exploratory data analysis process lays the foundation for more conclusive data collection and analysis.

LEARN ABOUT: Descriptive Analysis

• Descriptive: It focuses on expanding knowledge on current issues through a process of data collection. Descriptive research describe the behavior of a sample population. Only one variable is required to conduct the study. The three primary purposes of descriptive studies are describing, explaining, and validating the findings. For example, a study conducted to know if top-level management leaders in the 21st century possess the moral right to receive a considerable sum of money from the company profit.

LEARN ABOUT: Best Data Collection Tools

• Explanatory: Causal research or explanatory research is conducted to understand the impact of specific changes in existing standard procedures. Running experiments is the most popular form. For example, a study that is conducted to understand the effect of rebranding on customer loyalty.

Here is a comparative analysis chart for a better understanding:

It begins by asking the right questions and choosing an appropriate method to investigate the problem. After collecting answers to your questions, you can analyze the findings or observations to draw reasonable conclusions.

When it comes to customers and market studies, the more thorough your questions, the better the analysis. You get essential insights into brand perception and product needs by thoroughly collecting customer data through surveys and questionnaires . You can use this data to make smart decisions about your marketing strategies to position your business effectively.

To make sense of your study and get insights faster, it helps to use a research repository as a single source of truth in your organization and manage your research data in one centralized data repository .

Types of research methods and Examples

Research methods are broadly classified as Qualitative and Quantitative .

Both methods have distinctive properties and data collection methods .

Qualitative research is a method that collects data using conversational methods, usually open-ended questions . The responses collected are essentially non-numerical. This method helps a researcher understand what participants think and why they think in a particular way.

Types of qualitative methods include:

• One-to-one Interview
• Focus Groups
• Ethnographic studies
• Text Analysis

Quantitative methods deal with numbers and measurable forms . It uses a systematic way of investigating events or data. It answers questions to justify relationships with measurable variables to either explain, predict, or control a phenomenon.

Types of quantitative methods include:

• Survey research
• Descriptive research
• Correlational research

LEARN MORE: Descriptive Research vs Correlational Research

Remember, it is only valuable and useful when it is valid, accurate, and reliable. Incorrect results can lead to customer churn and a decrease in sales.

It is essential to ensure that your data is:

• Valid – founded, logical, rigorous, and impartial.
• Accurate – free of errors and including required details.
• Reliable – other people who investigate in the same way can produce similar results.
• Timely – current and collected within an appropriate time frame.
• Complete – includes all the data you need to support your business decisions.

Gather insights

• Identify the main trends and issues, opportunities, and problems you observe. Write a sentence describing each one.
• Keep track of the frequency with which each of the main findings appears.
• Make a list of your findings from the most common to the least common.
• Evaluate a list of the strengths, weaknesses, opportunities, and threats identified in a SWOT analysis .
• Prepare conclusions and recommendations about your study.
• Act on your strategies
• Look for gaps in the information, and consider doing additional inquiry if necessary
• Plan to review the results and consider efficient methods to analyze and interpret results.

Review your goals before making any conclusions about your study. Remember how the process you have completed and the data you have gathered help answer your questions. Ask yourself if what your analysis revealed facilitates the identification of your conclusions and recommendations.

LEARN MORE ABOUT OUR SOFTWARE         FREE TRIAL

MORE LIKE THIS

The Item I Failed to Leave Behind — Tuesday CX Thoughts

Jun 25, 2024

Feedback Loop: What It Is, Types & How It Works?

Jun 21, 2024

QuestionPro Thrive: A Space to Visualize & Share the Future of Technology

Jun 18, 2024

Relationship NPS Fails to Understand Customer Experiences — Tuesday CX

Other categories.

• Academic Research
• Artificial Intelligence
• Assessments
• Brand Awareness
• Case Studies
• Communities
• Consumer Insights
• Customer effort score
• Customer Engagement
• Customer Experience
• Customer Loyalty
• Customer Research
• Customer Satisfaction
• Employee Benefits
• Employee Engagement
• Employee Retention
• Friday Five
• General Data Protection Regulation
• Insights Hub
• Life@QuestionPro
• Market Research
• Mobile diaries
• Mobile Surveys
• New Features
• Online Communities
• Question Types
• Questionnaire
• QuestionPro Products
• Release Notes
• Research Tools and Apps
• Revenue at Risk
• Survey Templates
• Training Tips
• Tuesday CX Thoughts (TCXT)
• Uncategorized
• Video Learning Series
• What’s Coming Up
• Workforce Intelligence

In order to continue enjoying our site, we ask that you confirm your identity as a human. Thank you very much for your cooperation.

An official website of the United States government

The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

• Publications
• Account settings

Preview improvements coming to the PMC website in October 2024. Learn More or Try it out now .

• Advanced Search
• Journal List
• Turk J Anaesthesiol Reanim
• v.44(4); 2016 Aug

What is Scientific Research and How Can it be Done?

Scientific researches are studies that should be systematically planned before performing them. In this review, classification and description of scientific studies, planning stage randomisation and bias are explained.

Research conducted for the purpose of contributing towards science by the systematic collection, interpretation and evaluation of data and that, too, in a planned manner is called scientific research: a researcher is the one who conducts this research. The results obtained from a small group through scientific studies are socialised, and new information is revealed with respect to diagnosis, treatment and reliability of applications. The purpose of this review is to provide information about the definition, classification and methodology of scientific research.

Before beginning the scientific research, the researcher should determine the subject, do planning and specify the methodology. In the Declaration of Helsinki, it is stated that ‘the primary purpose of medical researches on volunteers is to understand the reasons, development and effects of diseases and develop protective, diagnostic and therapeutic interventions (method, operation and therapies). Even the best proven interventions should be evaluated continuously by investigations with regard to reliability, effectiveness, efficiency, accessibility and quality’ ( 1 ).

The questions, methods of response to questions and difficulties in scientific research may vary, but the design and structure are generally the same ( 2 ).

Classification of Scientific Research

Scientific research can be classified in several ways. Classification can be made according to the data collection techniques based on causality, relationship with time and the medium through which they are applied.

• Observational
• Experimental
• Descriptive
• Retrospective
• Prospective
• Cross-sectional
• Social descriptive research ( 3 )

Another method is to classify the research according to its descriptive or analytical features. This review is written according to this classification method.

I. Descriptive research

• Case series
• Surveillance studies

II. Analytical research

• Observational studies: cohort, case control and cross- sectional research
• Interventional research: quasi-experimental and clinical research
• Case Report: it is the most common type of descriptive study. It is the examination of a single case having a different quality in the society, e.g. conducting general anaesthesia in a pregnant patient with mucopolysaccharidosis.
• Case Series: it is the description of repetitive cases having common features. For instance; case series involving interscapular pain related to neuraxial labour analgesia. Interestingly, malignant hyperthermia cases are not accepted as case series since they are rarely seen during historical development.
• Surveillance Studies: these are the results obtained from the databases that follow and record a health problem for a certain time, e.g. the surveillance of cross-infections during anaesthesia in the intensive care unit.

Moreover, some studies may be experimental. After the researcher intervenes, the researcher waits for the result, observes and obtains data. Experimental studies are, more often, in the form of clinical trials or laboratory animal trials ( 2 ).

Analytical observational research can be classified as cohort, case-control and cross-sectional studies.

Firstly, the participants are controlled with regard to the disease under investigation. Patients are excluded from the study. Healthy participants are evaluated with regard to the exposure to the effect. Then, the group (cohort) is followed-up for a sufficient period of time with respect to the occurrence of disease, and the progress of disease is studied. The risk of the healthy participants getting sick is considered an incident. In cohort studies, the risk of disease between the groups exposed and not exposed to the effect is calculated and rated. This rate is called relative risk. Relative risk indicates the strength of exposure to the effect on the disease.

Cohort research may be observational and experimental. The follow-up of patients prospectively is called a prospective cohort study . The results are obtained after the research starts. The researcher’s following-up of cohort subjects from a certain point towards the past is called a retrospective cohort study . Prospective cohort studies are more valuable than retrospective cohort studies: this is because in the former, the researcher observes and records the data. The researcher plans the study before the research and determines what data will be used. On the other hand, in retrospective studies, the research is made on recorded data: no new data can be added.

In fact, retrospective and prospective studies are not observational. They determine the relationship between the date on which the researcher has begun the study and the disease development period. The most critical disadvantage of this type of research is that if the follow-up period is long, participants may leave the study at their own behest or due to physical conditions. Cohort studies that begin after exposure and before disease development are called ambidirectional studies . Public healthcare studies generally fall within this group, e.g. lung cancer development in smokers.

• Case-Control Studies: these studies are retrospective cohort studies. They examine the cause and effect relationship from the effect to the cause. The detection or determination of data depends on the information recorded in the past. The researcher has no control over the data ( 2 ).

Cross-sectional studies are advantageous since they can be concluded relatively quickly. It may be difficult to obtain a reliable result from such studies for rare diseases ( 2 ).

Cross-sectional studies are characterised by timing. In such studies, the exposure and result are simultaneously evaluated. While cross-sectional studies are restrictedly used in studies involving anaesthesia (since the process of exposure is limited), they can be used in studies conducted in intensive care units.

• Quasi-Experimental Research: they are conducted in cases in which a quick result is requested and the participants or research areas cannot be randomised, e.g. giving hand-wash training and comparing the frequency of nosocomial infections before and after hand wash.
• Clinical Research: they are prospective studies carried out with a control group for the purpose of comparing the effect and value of an intervention in a clinical case. Clinical study and research have the same meaning. Drugs, invasive interventions, medical devices and operations, diets, physical therapy and diagnostic tools are relevant in this context ( 6 ).

Clinical studies are conducted by a responsible researcher, generally a physician. In the research team, there may be other healthcare staff besides physicians. Clinical studies may be financed by healthcare institutes, drug companies, academic medical centres, volunteer groups, physicians, healthcare service providers and other individuals. They may be conducted in several places including hospitals, universities, physicians’ offices and community clinics based on the researcher’s requirements. The participants are made aware of the duration of the study before their inclusion. Clinical studies should include the evaluation of recommendations (drug, device and surgical) for the treatment of a disease, syndrome or a comparison of one or more applications; finding different ways for recognition of a disease or case and prevention of their recurrence ( 7 ).

Clinical Research

In this review, clinical research is explained in more detail since it is the most valuable study in scientific research.

Clinical research starts with forming a hypothesis. A hypothesis can be defined as a claim put forward about the value of a population parameter based on sampling. There are two types of hypotheses in statistics.

• H 0 hypothesis is called a control or null hypothesis. It is the hypothesis put forward in research, which implies that there is no difference between the groups under consideration. If this hypothesis is rejected at the end of the study, it indicates that a difference exists between the two treatments under consideration.
• H 1 hypothesis is called an alternative hypothesis. It is hypothesised against a null hypothesis, which implies that a difference exists between the groups under consideration. For example, consider the following hypothesis: drug A has an analgesic effect. Control or null hypothesis (H 0 ): there is no difference between drug A and placebo with regard to the analgesic effect. The alternative hypothesis (H 1 ) is applicable if a difference exists between drug A and placebo with regard to the analgesic effect.

The planning phase comes after the determination of a hypothesis. A clinical research plan is called a protocol . In a protocol, the reasons for research, number and qualities of participants, tests to be applied, study duration and what information to be gathered from the participants should be found and conformity criteria should be developed.

The selection of participant groups to be included in the study is important. Inclusion and exclusion criteria of the study for the participants should be determined. Inclusion criteria should be defined in the form of demographic characteristics (age, gender, etc.) of the participant group and the exclusion criteria as the diseases that may influence the study, age ranges, cases involving pregnancy and lactation, continuously used drugs and participants’ cooperation.

The next stage is methodology. Methodology can be grouped under subheadings, namely, the calculation of number of subjects, blinding (masking), randomisation, selection of operation to be applied, use of placebo and criteria for stopping and changing the treatment.

I. Calculation of the Number of Subjects

The entire source from which the data are obtained is called a universe or population . A small group selected from a certain universe based on certain rules and which is accepted to highly represent the universe from which it is selected is called a sample and the characteristics of the population from which the data are collected are called variables. If data is collected from the entire population, such an instance is called a parameter . Conducting a study on the sample rather than the entire population is easier and less costly. Many factors influence the determination of the sample size. Firstly, the type of variable should be determined. Variables are classified as categorical (qualitative, non-numerical) or numerical (quantitative). Individuals in categorical variables are classified according to their characteristics. Categorical variables are indicated as nominal and ordinal (ordered). In nominal variables, the application of a category depends on the researcher’s preference. For instance, a female participant can be considered first and then the male participant, or vice versa. An ordinal (ordered) variable is ordered from small to large or vice versa (e.g. ordering obese patients based on their weights-from the lightest to the heaviest or vice versa). A categorical variable may have more than one characteristic: such variables are called binary or dichotomous (e.g. a participant may be both female and obese).

If the variable has numerical (quantitative) characteristics and these characteristics cannot be categorised, then it is called a numerical variable. Numerical variables are either discrete or continuous. For example, the number of operations with spinal anaesthesia represents a discrete variable. The haemoglobin value or height represents a continuous variable.

Statistical analyses that need to be employed depend on the type of variable. The determination of variables is necessary for selecting the statistical method as well as software in SPSS. While categorical variables are presented as numbers and percentages, numerical variables are represented using measures such as mean and standard deviation. It may be necessary to use mean in categorising some cases such as the following: even though the variable is categorical (qualitative, non-numerical) when Visual Analogue Scale (VAS) is used (since a numerical value is obtained), it is classified as a numerical variable: such variables are averaged.

Clinical research is carried out on the sample and generalised to the population. Accordingly, the number of samples should be correctly determined. Different sample size formulas are used on the basis of the statistical method to be used. When the sample size increases, error probability decreases. The sample size is calculated based on the primary hypothesis. The determination of a sample size before beginning the research specifies the power of the study. Power analysis enables the acquisition of realistic results in the research, and it is used for comparing two or more clinical research methods.

Because of the difference in the formulas used in calculating power analysis and number of samples for clinical research, it facilitates the use of computer programs for making calculations.

It is necessary to know certain parameters in order to calculate the number of samples by power analysis.

• Type-I (α) and type-II (β) error levels
• Difference between groups (d-difference) and effect size (ES)
• Distribution ratio of groups
• Direction of research hypothesis (H1)

a. Type-I (α) and Type-II (β) Error (β) Levels

Two types of errors can be made while accepting or rejecting H 0 hypothesis in a hypothesis test. Type-I error (α) level is the probability of finding a difference at the end of the research when there is no difference between the two applications. In other words, it is the rejection of the hypothesis when H 0 is actually correct and it is known as α error or p value. For instance, when the size is determined, type-I error level is accepted as 0.05 or 0.01.

Another error that can be made during a hypothesis test is a type-II error. It is the acceptance of a wrongly hypothesised H 0 hypothesis. In fact, it is the probability of failing to find a difference when there is a difference between the two applications. The power of a test is the ability of that test to find a difference that actually exists. Therefore, it is related to the type-II error level.

Since the type-II error risk is expressed as β, the power of the test is defined as 1–β. When a type-II error is 0.20, the power of the test is 0.80. Type-I (α) and type-II (β) errors can be intentional. The reason to intentionally make such an error is the necessity to look at the events from the opposite perspective.

b. Difference between Groups and ES

ES is defined as the state in which statistical difference also has clinically significance: ES≥0.5 is desirable. The difference between groups is the absolute difference between the groups compared in clinical research.

c. Allocation Ratio of Groups

The allocation ratio of groups is effective in determining the number of samples. If the number of samples is desired to be determined at the lowest level, the rate should be kept as 1/1.

d. Direction of Hypothesis (H1)

The direction of hypothesis in clinical research may be one-sided or two-sided. While one-sided hypotheses hypothesis test differences in the direction of size, two-sided hypotheses hypothesis test differences without direction. The power of the test in two-sided hypotheses is lower than one-sided hypotheses.

After these four variables are determined, they are entered in the appropriate computer program and the number of samples is calculated. Statistical packaged software programs such as Statistica, NCSS and G-Power may be used for power analysis and calculating the number of samples. When the samples size is calculated, if there is a decrease in α, difference between groups, ES and number of samples, then the standard deviation increases and power decreases. The power in two-sided hypothesis is lower. It is ethically appropriate to consider the determination of sample size, particularly in animal experiments, at the beginning of the study. The phase of the study is also important in the determination of number of subjects to be included in drug studies. Usually, phase-I studies are used to determine the safety profile of a drug or product, and they are generally conducted on a few healthy volunteers. If no unacceptable toxicity is detected during phase-I studies, phase-II studies may be carried out. Phase-II studies are proof-of-concept studies conducted on a larger number (100–500) of volunteer patients. When the effectiveness of the drug or product is evident in phase-II studies, phase-III studies can be initiated. These are randomised, double-blinded, placebo or standard treatment-controlled studies. Volunteer patients are periodically followed-up with respect to the effectiveness and side effects of the drug. It can generally last 1–4 years and is valuable during licensing and releasing the drug to the general market. Then, phase-IV studies begin in which long-term safety is investigated (indication, dose, mode of application, safety, effectiveness, etc.) on thousands of volunteer patients.

II. Blinding (Masking) and Randomisation Methods

When the methodology of clinical research is prepared, precautions should be taken to prevent taking sides. For this reason, techniques such as randomisation and blinding (masking) are used. Comparative studies are the most ideal ones in clinical research.

Blinding Method

A case in which the treatments applied to participants of clinical research should be kept unknown is called the blinding method . If the participant does not know what it receives, it is called a single-blind study; if even the researcher does not know, it is called a double-blind study. When there is a probability of knowing which drug is given in the order of application, when uninformed staff administers the drug, it is called in-house blinding. In case the study drug is known in its pharmaceutical form, a double-dummy blinding test is conducted. Intravenous drug is given to one group and a placebo tablet is given to the comparison group; then, the placebo tablet is given to the group that received the intravenous drug and intravenous drug in addition to placebo tablet is given to the comparison group. In this manner, each group receives both the intravenous and tablet forms of the drug. In case a third party interested in the study is involved and it also does not know about the drug (along with the statistician), it is called third-party blinding.

Randomisation Method

The selection of patients for the study groups should be random. Randomisation methods are used for such selection, which prevent conscious or unconscious manipulations in the selection of patients ( 8 ).

No factor pertaining to the patient should provide preference of one treatment to the other during randomisation. This characteristic is the most important difference separating randomised clinical studies from prospective and synchronous studies with experimental groups. Randomisation strengthens the study design and enables the determination of reliable scientific knowledge ( 2 ).

The easiest method is simple randomisation, e.g. determination of the type of anaesthesia to be administered to a patient by tossing a coin. In this method, when the number of samples is kept high, a balanced distribution is created. When the number of samples is low, there will be an imbalance between the groups. In this case, stratification and blocking have to be added to randomisation. Stratification is the classification of patients one or more times according to prognostic features determined by the researcher and blocking is the selection of a certain number of patients for each stratification process. The number of stratification processes should be determined at the beginning of the study.

As the number of stratification processes increases, performing the study and balancing the groups become difficult. For this reason, stratification characteristics and limitations should be effectively determined at the beginning of the study. It is not mandatory for the stratifications to have equal intervals. Despite all the precautions, an imbalance might occur between the groups before beginning the research. In such circumstances, post-stratification or restandardisation may be conducted according to the prognostic factors.

The main characteristic of applying blinding (masking) and randomisation is the prevention of bias. Therefore, it is worthwhile to comprehensively examine bias at this stage.

Bias and Chicanery

While conducting clinical research, errors can be introduced voluntarily or involuntarily at a number of stages, such as design, population selection, calculating the number of samples, non-compliance with study protocol, data entry and selection of statistical method. Bias is taking sides of individuals in line with their own decisions, views and ideological preferences ( 9 ). In order for an error to lead to bias, it has to be a systematic error. Systematic errors in controlled studies generally cause the results of one group to move in a different direction as compared to the other. It has to be understood that scientific research is generally prone to errors. However, random errors (or, in other words, ‘the luck factor’-in which bias is unintended-do not lead to bias ( 10 ).

Another issue, which is different from bias, is chicanery. It is defined as voluntarily changing the interventions, results and data of patients in an unethical manner or copying data from other studies. Comparatively, bias may not be done consciously.

In case unexpected results or outliers are found while the study is analysed, if possible, such data should be re-included into the study since the complete exclusion of data from a study endangers its reliability. In such a case, evaluation needs to be made with and without outliers. It is insignificant if no difference is found. However, if there is a difference, the results with outliers are re-evaluated. If there is no error, then the outlier is included in the study (as the outlier may be a result). It should be noted that re-evaluation of data in anaesthesiology is not possible.

Statistical evaluation methods should be determined at the design stage so as not to encounter unexpected results in clinical research. The data should be evaluated before the end of the study and without entering into details in research that are time-consuming and involve several samples. This is called an interim analysis . The date of interim analysis should be determined at the beginning of the study. The purpose of making interim analysis is to prevent unnecessary cost and effort since it may be necessary to conclude the research after the interim analysis, e.g. studies in which there is no possibility to validate the hypothesis at the end or the occurrence of different side effects of the drug to be used. The accuracy of the hypothesis and number of samples are compared. Statistical significance levels in interim analysis are very important. If the data level is significant, the hypothesis is validated even if the result turns out to be insignificant after the date of the analysis.

Another important point to be considered is the necessity to conclude the participants’ treatment within the period specified in the study protocol. When the result of the study is achieved earlier and unexpected situations develop, the treatment is concluded earlier. Moreover, the participant may quit the study at its own behest, may die or unpredictable situations (e.g. pregnancy) may develop. The participant can also quit the study whenever it wants, even if the study has not ended ( 7 ).

In case the results of a study are contrary to already known or expected results, the expected quality level of the study suggesting the contradiction may be higher than the studies supporting what is known in that subject. This type of bias is called confirmation bias. The presence of well-known mechanisms and logical inference from them may create problems in the evaluation of data. This is called plausibility bias.

Another type of bias is expectation bias. If a result different from the known results has been achieved and it is against the editor’s will, it can be challenged. Bias may be introduced during the publication of studies, such as publishing only positive results, selection of study results in a way to support a view or prevention of their publication. Some editors may only publish research that extols only the positive results or results that they desire.

Bias may be introduced for advertisement or economic reasons. Economic pressure may be applied on the editor, particularly in the cases of studies involving drugs and new medical devices. This is called commercial bias.

In recent years, before beginning a study, it has been recommended to record it on the Web site www.clinicaltrials.gov for the purpose of facilitating systematic interpretation and analysis in scientific research, informing other researchers, preventing bias, provision of writing in a standard format, enhancing contribution of research results to the general literature and enabling early intervention of an institution for support. This Web site is a service of the US National Institutes of Health.

The last stage in the methodology of clinical studies is the selection of intervention to be conducted. Placebo use assumes an important place in interventions. In Latin, placebo means ‘I will be fine’. In medical literature, it refers to substances that are not curative, do not have active ingredients and have various pharmaceutical forms. Although placebos do not have active drug characteristic, they have shown effective analgesic characteristics, particularly in algology applications; further, its use prevents bias in comparative studies. If a placebo has a positive impact on a participant, it is called the placebo effect ; on the contrary, if it has a negative impact, it is called the nocebo effect . Another type of therapy that can be used in clinical research is sham application. Although a researcher does not cure the patient, the researcher may compare those who receive therapy and undergo sham. It has been seen that sham therapies also exhibit a placebo effect. In particular, sham therapies are used in acupuncture applications ( 11 ). While placebo is a substance, sham is a type of clinical application.

Ethically, the patient has to receive appropriate therapy. For this reason, if its use prevents effective treatment, it causes great problem with regard to patient health and legalities.

Before medical research is conducted with human subjects, predictable risks, drawbacks and benefits must be evaluated for individuals or groups participating in the study. Precautions must be taken for reducing the risk to a minimum level. The risks during the study should be followed, evaluated and recorded by the researcher ( 1 ).

After the methodology for a clinical study is determined, dealing with the ‘Ethics Committee’ forms the next stage. The purpose of the ethics committee is to protect the rights, safety and well-being of volunteers taking part in the clinical research, considering the scientific method and concerns of society. The ethics committee examines the studies presented in time, comprehensively and independently, with regard to ethics and science; in line with the Declaration of Helsinki and following national and international standards concerning ‘Good Clinical Practice’. The method to be followed in the formation of the ethics committee should be developed without any kind of prejudice and to examine the applications with regard to ethics and science within the framework of the ethics committee, Regulation on Clinical Trials and Good Clinical Practice ( www.iku.com ). The necessary documents to be presented to the ethics committee are research protocol, volunteer consent form, budget contract, Declaration of Helsinki, curriculum vitae of researchers, similar or explanatory literature samples, supporting institution approval certificate and patient follow-up form.

Only one sister/brother, mother, father, son/daughter and wife/husband can take charge in the same ethics committee. A rector, vice rector, dean, deputy dean, provincial healthcare director and chief physician cannot be members of the ethics committee.

Members of the ethics committee can work as researchers or coordinators in clinical research. However, during research meetings in which members of the ethics committee are researchers or coordinators, they must leave the session and they cannot sign-off on decisions. If the number of members in the ethics committee for a particular research is so high that it is impossible to take a decision, the clinical research is presented to another ethics committee in the same province. If there is no ethics committee in the same province, an ethics committee in the closest settlement is found.

Thereafter, researchers need to inform the participants using an informed consent form. This form should explain the content of clinical study, potential benefits of the study, alternatives and risks (if any). It should be easy, comprehensible, conforming to spelling rules and written in plain language understandable by the participant.

This form assists the participants in taking a decision regarding participation in the study. It should aim to protect the participants. The participant should be included in the study only after it signs the informed consent form; the participant can quit the study whenever required, even when the study has not ended ( 7 ).

Peer-review: Externally peer-reviewed.

Author Contributions: Concept - C.Ö.Ç., A.D.; Design - C.Ö.Ç.; Supervision - A.D.; Resource - C.Ö.Ç., A.D.; Materials - C.Ö.Ç., A.D.; Analysis and/or Interpretation - C.Ö.Ç., A.D.; Literature Search - C.Ö.Ç.; Writing Manuscript - C.Ö.Ç.; Critical Review - A.D.; Other - C.Ö.Ç., A.D.

Conflict of Interest: No conflict of interest was declared by the authors.

Financial Disclosure: The authors declared that this study has received no financial support.

• More from M-W
• To save this word, you'll need to log in. Log In

Definition of research

 (Entry 1 of 2)

Definition of research  (Entry 2 of 2)

transitive verb

intransitive verb

• disquisition
• examination
• exploration
• inquisition
• investigation
• delve (into)
• inquire (into)
• investigate
• look (into)

Examples of research in a Sentence

These examples are programmatically compiled from various online sources to illustrate current usage of the word 'research.' Any opinions expressed in the examples do not represent those of Merriam-Webster or its editors. Send us feedback about these examples.

Word History

Middle French recerche , from recercher to go about seeking, from Old French recerchier , from re- + cerchier, sercher to search — more at search

1577, in the meaning defined at sense 3

1588, in the meaning defined at transitive sense 1

Phrases Containing research

• marketing research
• market research
• operations research
• oppo research

research and development

• research park
• translational research

Dictionary Entries Near research

Cite this entry.

“Research.” Merriam-Webster.com Dictionary , Merriam-Webster, https://www.merriam-webster.com/dictionary/research. Accessed 27 Jun. 2024.

Kids Definition

Kids definition of research.

Kids Definition of research  (Entry 2 of 2)

More from Merriam-Webster on research

Nglish: Translation of research for Spanish Speakers

Britannica English: Translation of research for Arabic Speakers

Britannica.com: Encyclopedia article about research

Subscribe to America's largest dictionary and get thousands more definitions and advanced search—ad free!

Can you solve 4 words at once?

Word of the day.

See Definitions and Examples »

Get Word of the Day daily email!

Popular in Grammar & Usage

Plural and possessive names: a guide, your vs. you're: how to use them correctly, every letter is silent, sometimes: a-z list of examples, more commonly mispronounced words, how to use em dashes (—), en dashes (–) , and hyphens (-), popular in wordplay, 8 words for lesser-known musical instruments, birds say the darndest things, 10 words from taylor swift songs (merriam's version), 10 scrabble words without any vowels, 12 more bird names that sound like insults (and sometimes are), games & quizzes.

Research: Meaning and Purpose

• First Online: 27 October 2022

Cite this chapter

• Kazi Abusaleh 4 &
• Akib Bin Anwar 5  

2604 Accesses

The objective of the chapter is to provide the conceptual framework of the research and research process and draw the importance of research in social sciences. Various books and research papers were reviewed to write the chapter. The chapter defines ‘research’ as a deliberate and systematic scientific investigation into a phenomenon to explore, analyse, and predict about the issues or circumstances, and characterizes ‘research’ as a systematic and scientific mode of inquiry, a way to testify the existing knowledge and theories, and a well-designed process to answer questions in a reliable and unbiased way. This chapter, however, categorizes research into eight types under four headings, explains six steps to carry out a research work scientifically, and finally sketches the importance of research in social sciences.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

• Available as PDF
• Read on any device
• Instant download
• Own it forever
• Available as EPUB and PDF
• Compact, lightweight edition
• Dispatched in 3 to 5 business days
• Free shipping worldwide - see info
• Durable hardcover edition

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Research Design and Methodology

Research Questions and Research Design

Looking Back

Adams, G. R., & Schvaneveldt, J. D. (1991). Understanding research methods . Addison-Wesley Longman Ltd.

Google Scholar  

Adams, G., & Schvaneveldt, J. (1985). Obtaining Data: Questionnaire and Interview. Understanding research methods (pp. 199–229). Longman.

Adams, S. (1975). Evaluative research in corrections: A practical guide. US Department of Justice, Law Enforcement Assistance Administration, National Institute of Law Enforcement and Criminal Justice.

Aminuzzaman, S. M. (1991). Introduction to social research . Bangladesh publishers.

Ary, D., Jacobs, L. C., & Sorensen, C. K. (2010). Introduction to research in education (8th ed.). Wardsworth.

Best, J. W., & Kahn, J. V. (1986). Research in education (5th ed.). Prentice Hall.

Bhattacherjee, A. (2012). Social science research: Principles, methods, and practices . University of South Florida.

Black, T. R. (1993). Evaluating social science research: An introduction . Sage.

Borg, W. R., & Gall, M. D. (1963). Educational research: An introduction . David McKay Company.

Burns, A. C. (2006). Marketing research. Pearson Education.

Connaway, L. S., & Powell, R. R. (2010). Basic research methods for librarians . ABC-CLIO.

Cresswell, J. W. (2008). Educational research: Planning, conducting and evaluating qualitative and quantitative research (4th ed.). Merrill & Prentice Hall.

Gebremedhin, T. G., & Tweeten, L. G. (1994). Research methods and communication in the social sciences . ABC-CLIO.

Ghosh, B. N. (1985). Scientific method and social research . Stwiling Publishers/Advent Books Division.

Given, L. M. (Ed.). (2008). The Sage encyclopaedia of qualitative research methods . Sage publications.

Greenwood, D. J., & Levin, M. (2007). Introduction to action research: Social research for social change (2 nd ed.). SAGE publications.

Herr, K., & Anderson, G. L. (2014). The action research dissertation: A guide for students and faculty . Sage publications.

Kerlinger, F. N. (1964). Foundation behavioural approach . Rinehart & Winston.

Kothari, C. R. (2004). Research methodology: Methods and techniques . New Age International (P) Limited Publishers.

Kumar, R. (2011). Selecting a method of data collection’. Research methodology: a step by step guide for beginners (3 rd ed.). Sage.

Leedy, P. D. (1981). How to read research and understand it . Macmillan.

Leedy, P. D., & Ormrod, J. E. (2015). Practical research: planning and design (11th ed.). Global Edition.

Merriam-Webster Online Dictionary (2020). Merriam-Webster. Retrieved April 25, 2020 from www.merriam-webster.com/dictionary/research

Mishra, D. S. (2017). Handbook of research methodology: A Compendium for scholars & researchers . Educreation Publishing.

Narayana, P. S., Varalakshmi, D., Pullaiah, T., & Rao, K. S. (2018). Research methodology in Zoology. Scientific Publishers.

Oxford Learner’s Online Dictionaries (2020). Oxford University Press. Retrieved April 25, 2020 from www.oxfordlearnersdictionaries.com/definition/english/research_1?q=research

Polansky, N. A. (Ed.). (1960). Social work research: methods for the helping professions . University of Chicago Press.

Selltiz, C., Wrightsman, L. S., & Cook, S. W. (1976). Research methods in social relations . Holt.

Smith, V. H. (1998). Measuring the benefits of social science research (Vol. 2, pp. 01–21). International Food Policy Research Institute.

Somekh, B., & Lewin, C. (2004). Research Methods in the Social Sciences . Sage Publications.

Suchman, E. (1968). Evaluative Research: Principles and Practice in Public Service and Social Action Programs . Russell Sage Foundation.

Download references

Author information

Authors and affiliations.

Transparency International Bangladesh (TIB), Dhanmondi, Dhaka, 1209, Bangladesh

Kazi Abusaleh

Community Mobilization Manager, Winrock International, Dhaka, 1212, Bangladesh

Akib Bin Anwar

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to Kazi Abusaleh .

Editor information

Editors and affiliations.

Centre for Family and Child Studies, Research Institute of Humanities and Social Sciences, University of Sharjah, Sharjah, United Arab Emirates

M. Rezaul Islam

Department of Development Studies, University of Dhaka, Dhaka, Bangladesh

Niaz Ahmed Khan

Department of Social Work, School of Humanities, University of Johannesburg, Johannesburg, South Africa

Rajendra Baikady

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Abusaleh, K., Anwar, A.B. (2022). Research: Meaning and Purpose. In: Islam, M.R., Khan, N.A., Baikady, R. (eds) Principles of Social Research Methodology. Springer, Singapore. https://doi.org/10.1007/978-981-19-5441-2_2

Download citation

DOI : https://doi.org/10.1007/978-981-19-5441-2_2

Published : 27 October 2022

Publisher Name : Springer, Singapore

Print ISBN : 978-981-19-5219-7

Online ISBN : 978-981-19-5441-2

eBook Packages : Social Sciences

Share this chapter

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

• Publish with us

Policies and ethics

• Find a journal
• Track your research

What is research? A conceptual understanding

• African Journal of Emergency Medicine 1(1)
• CC BY-NC-ND 3.0

• Western Sydney University

Discover the world's research

• 25+ million members
• 160+ million publication pages
• 2.3+ billion citations

• Ana Fergina
• Muhammad Khalifa Mustami
• Ulfiani Rahman

• Hanny Hafiar

• Nasir Majeed

• Pengetahuan Dan
• Kefahaman Guru
• Terhadap Pelaksanaan
• Afinah A D Matsud

• Shaeri Jahra Amreen

• Fevzi Koçak

• Frankline Higenyi

• Rachel Nambuya

• Vincent A Anfara
• Norma T Mertz
• William R. Molasso

• Jeremy Shapiro

• Recruit researchers
• Join for free
• Login Email Tip: Most researchers use their institutional email address as their ResearchGate login Password Forgot password? Keep me logged in Log in or Continue with Google Welcome back! Please log in. Email · Hint Tip: Most researchers use their institutional email address as their ResearchGate login Password Forgot password? Keep me logged in Log in or Continue with Google No account? Sign up

• Daily Crossword
• Word Puzzle
• Word Finder
• Word of the Day
• Synonym of the Day
• Word of the Year
• Language stories
• All featured
• Gender and sexuality
• All pop culture
• Writing hub
• Grammar essentials
• Commonly confused
• All writing tips
• Pop culture
• Writing tips

Advertisement

[ ri- surch , ree -surch ]

recent research in medicine.

Synonyms: study , scrutiny

• a particular instance or piece of research.

verb (used without object)

• to make researches; investigate carefully.

verb (used with object)

to research a matter thoroughly.

Synonyms: scrutinize , examine , inquire , study

/ ˈriːsɜːtʃ; rɪˈsɜːtʃ /

• systematic investigation to establish facts or principles or to collect information on a subject
• to carry out investigations into (a subject, problem, etc)

Discover More

Derived forms.

• reˈsearcher , noun
• reˈsearchable , adjective

Other Words From

• re·searcha·ble adjective
• re·searcher re·searchist noun
• prore·search adjective
• under·re·search verb (used with object)

Word History and Origins

Origin of research 1

Synonym Study

Example sentences.

The duo spent the first year in research and engaging with farmers.

Dan Finn-Foley, head of energy storage at energy research firm Wood Mackenzie Power & Renewables, compared Google’s plan to ordering eggs for breakfast.

Users will give Deep Longevity the right to conduct anonymized research using their data as part of the app’s terms and conditions, Zhavoronkov said.

There’s also the Wilhelm Reich Museum, located at “Orgonon” in Rangeley, Maine, which was previously Reich’s estate—where he conducted questionable orgone research in the later years of his career.

When we started doing research on these topics, we were too focused on political institutions.

Have you tried to access the research that your tax dollars finance, almost all of which is kept behind a paywall?

Have a look at this telling research from Pew on blasphemy and apostasy laws around the world.

And Epstein continues to steer money toward universities to advance scientific research.

The research literature, too, asks these questions, and not without reason.

We also have a growing body of biological research showing that fathers, like mothers, are hard-wired to care for children.

We find by research that smoking was the most general mode of using tobacco in England when first introduced.

This class is composed frequently of persons of considerable learning, research and intelligence.

Speaking from recollection, it appears to be a work of some research; but I cannot say how far it is to be relied on.

Thomas Pope Blount died; an eminent English writer and a man of great learning and research.

That was long before invention became a research department full of engineers.

Related Words

• exploration
• investigation

Have a language expert improve your writing

Run a free plagiarism check in 10 minutes, generate accurate citations for free.

• Knowledge Base

Methodology

• Descriptive Research | Definition, Types, Methods & Examples

Descriptive Research | Definition, Types, Methods & Examples

Published on May 15, 2019 by Shona McCombes . Revised on June 22, 2023.

Descriptive research aims to accurately and systematically describe a population, situation or phenomenon. It can answer what , where , when and how   questions , but not why questions.

A descriptive research design can use a wide variety of research methods  to investigate one or more variables . Unlike in experimental research , the researcher does not control or manipulate any of the variables, but only observes and measures them.

Table of contents

When to use a descriptive research design, descriptive research methods, other interesting articles.

Descriptive research is an appropriate choice when the research aim is to identify characteristics, frequencies, trends, and categories.

It is useful when not much is known yet about the topic or problem. Before you can research why something happens, you need to understand how, when and where it happens.

Descriptive research question examples

• How has the Amsterdam housing market changed over the past 20 years?
• Do customers of company X prefer product X or product Y?
• What are the main genetic, behavioural and morphological differences between European wildcats and domestic cats?
• What are the most popular online news sources among under-18s?
• How prevalent is disease A in population B?

Here's why students love Scribbr's proofreading services

Discover proofreading & editing

Descriptive research is usually defined as a type of quantitative research , though qualitative research can also be used for descriptive purposes. The research design should be carefully developed to ensure that the results are valid and reliable .

Survey research allows you to gather large volumes of data that can be analyzed for frequencies, averages and patterns. Common uses of surveys include:

• Describing the demographics of a country or region
• Gauging public opinion on political and social topics
• Evaluating satisfaction with a company’s products or an organization’s services

Observations

Observations allow you to gather data on behaviours and phenomena without having to rely on the honesty and accuracy of respondents. This method is often used by psychological, social and market researchers to understand how people act in real-life situations.

Observation of physical entities and phenomena is also an important part of research in the natural sciences. Before you can develop testable hypotheses , models or theories, it’s necessary to observe and systematically describe the subject under investigation.

Case studies

A case study can be used to describe the characteristics of a specific subject (such as a person, group, event or organization). Instead of gathering a large volume of data to identify patterns across time or location, case studies gather detailed data to identify the characteristics of a narrowly defined subject.

Rather than aiming to describe generalizable facts, case studies often focus on unusual or interesting cases that challenge assumptions, add complexity, or reveal something new about a research problem .

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Normal distribution
• Degrees of freedom
• Null hypothesis
• Discourse analysis
• Control groups
• Mixed methods research
• Non-probability sampling
• Quantitative research
• Ecological validity

Research bias

• Rosenthal effect
• Implicit bias
• Cognitive bias
• Selection bias
• Negativity bias
• Status quo bias

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the “Cite this Scribbr article” button to automatically add the citation to our free Citation Generator.

McCombes, S. (2023, June 22). Descriptive Research | Definition, Types, Methods & Examples. Scribbr. Retrieved June 24, 2024, from https://www.scribbr.com/methodology/descriptive-research/

Is this article helpful?

Shona McCombes

Other students also liked, what is quantitative research | definition, uses & methods, correlational research | when & how to use, descriptive statistics | definitions, types, examples, get unlimited documents corrected.

✔ Free APA citation check included ✔ Unlimited document corrections ✔ Specialized in correcting academic texts

What Is A Research (Scientific) Hypothesis? A plain-language explainer + examples

By:  Derek Jansen (MBA)  | Reviewed By: Dr Eunice Rautenbach | June 2020

If you’re new to the world of research, or it’s your first time writing a dissertation or thesis, you’re probably noticing that the words “research hypothesis” and “scientific hypothesis” are used quite a bit, and you’re wondering what they mean in a research context .

“Hypothesis” is one of those words that people use loosely, thinking they understand what it means. However, it has a very specific meaning within academic research. So, it’s important to understand the exact meaning before you start hypothesizing. 

Research Hypothesis 101

• What is a hypothesis ?
• What is a research hypothesis (scientific hypothesis)?
• Requirements for a research hypothesis
• Definition of a research hypothesis
• The null hypothesis

What is a hypothesis?

Let’s start with the general definition of a hypothesis (not a research hypothesis or scientific hypothesis), according to the Cambridge Dictionary:

Hypothesis: an idea or explanation for something that is based on known facts but has not yet been proved.

In other words, it’s a statement that provides an explanation for why or how something works, based on facts (or some reasonable assumptions), but that has not yet been specifically tested . For example, a hypothesis might look something like this:

Hypothesis: sleep impacts academic performance.

This statement predicts that academic performance will be influenced by the amount and/or quality of sleep a student engages in – sounds reasonable, right? It’s based on reasonable assumptions , underpinned by what we currently know about sleep and health (from the existing literature). So, loosely speaking, we could call it a hypothesis, at least by the dictionary definition.

But that’s not good enough…

Unfortunately, that’s not quite sophisticated enough to describe a research hypothesis (also sometimes called a scientific hypothesis), and it wouldn’t be acceptable in a dissertation, thesis or research paper . In the world of academic research, a statement needs a few more criteria to constitute a true research hypothesis .

What is a research hypothesis?

A research hypothesis (also called a scientific hypothesis) is a statement about the expected outcome of a study (for example, a dissertation or thesis). To constitute a quality hypothesis, the statement needs to have three attributes – specificity , clarity and testability .

Let’s take a look at these more closely.

Need a helping hand?

Hypothesis Essential #1: Specificity & Clarity

A good research hypothesis needs to be extremely clear and articulate about both what’ s being assessed (who or what variables are involved ) and the expected outcome (for example, a difference between groups, a relationship between variables, etc.).

Let’s stick with our sleepy students example and look at how this statement could be more specific and clear.

Hypothesis: Students who sleep at least 8 hours per night will, on average, achieve higher grades in standardised tests than students who sleep less than 8 hours a night.

As you can see, the statement is very specific as it identifies the variables involved (sleep hours and test grades), the parties involved (two groups of students), as well as the predicted relationship type (a positive relationship). There’s no ambiguity or uncertainty about who or what is involved in the statement, and the expected outcome is clear.

Contrast that to the original hypothesis we looked at – “Sleep impacts academic performance” – and you can see the difference. “Sleep” and “academic performance” are both comparatively vague , and there’s no indication of what the expected relationship direction is (more sleep or less sleep). As you can see, specificity and clarity are key.

Hypothesis Essential #2: Testability (Provability)

A statement must be testable to qualify as a research hypothesis. In other words, there needs to be a way to prove (or disprove) the statement. If it’s not testable, it’s not a hypothesis – simple as that.

For example, consider the hypothesis we mentioned earlier:

Hypothesis: Students who sleep at least 8 hours per night will, on average, achieve higher grades in standardised tests than students who sleep less than 8 hours a night.  

We could test this statement by undertaking a quantitative study involving two groups of students, one that gets 8 or more hours of sleep per night for a fixed period, and one that gets less. We could then compare the standardised test results for both groups to see if there’s a statistically significant difference. 

Again, if you compare this to the original hypothesis we looked at – “Sleep impacts academic performance” – you can see that it would be quite difficult to test that statement, primarily because it isn’t specific enough. How much sleep? By who? What type of academic performance?

So, remember the mantra – if you can’t test it, it’s not a hypothesis 🙂

Defining A Research Hypothesis

You’re still with us? Great! Let’s recap and pin down a clear definition of a hypothesis.

A research hypothesis (or scientific hypothesis) is a statement about an expected relationship between variables, or explanation of an occurrence, that is clear, specific and testable.

So, when you write up hypotheses for your dissertation or thesis, make sure that they meet all these criteria. If you do, you’ll not only have rock-solid hypotheses but you’ll also ensure a clear focus for your entire research project.

What about the null hypothesis?

You may have also heard the terms null hypothesis , alternative hypothesis, or H-zero thrown around. At a simple level, the null hypothesis is the counter-proposal to the original hypothesis.

For example, if the hypothesis predicts that there is a relationship between two variables (for example, sleep and academic performance), the null hypothesis would predict that there is no relationship between those variables.

At a more technical level, the null hypothesis proposes that no statistical significance exists in a set of given observations and that any differences are due to chance alone.

And there you have it – hypotheses in a nutshell. 

If you have any questions, be sure to leave a comment below and we’ll do our best to help you. If you need hands-on help developing and testing your hypotheses, consider our private coaching service , where we hold your hand through the research journey.

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

You Might Also Like:

16 Comments

Very useful information. I benefit more from getting more information in this regard.

Very great insight,educative and informative. Please give meet deep critics on many research data of public international Law like human rights, environment, natural resources, law of the sea etc

In a book I read a distinction is made between null, research, and alternative hypothesis. As far as I understand, alternative and research hypotheses are the same. Can you please elaborate? Best Afshin

This is a self explanatory, easy going site. I will recommend this to my friends and colleagues.

Very good definition. How can I cite your definition in my thesis? Thank you. Is nul hypothesis compulsory in a research?

It’s a counter-proposal to be proven as a rejection

Please what is the difference between alternate hypothesis and research hypothesis?

It is a very good explanation. However, it limits hypotheses to statistically tasteable ideas. What about for qualitative researches or other researches that involve quantitative data that don’t need statistical tests?

In qualitative research, one typically uses propositions, not hypotheses.

could you please elaborate it more

I’ve benefited greatly from these notes, thank you.

This is very helpful

well articulated ideas are presented here, thank you for being reliable sources of information

Excellent. Thanks for being clear and sound about the research methodology and hypothesis (quantitative research)

I have only a simple question regarding the null hypothesis. – Is the null hypothesis (Ho) known as the reversible hypothesis of the alternative hypothesis (H1? – How to test it in academic research?

this is very important note help me much more

Trackbacks/Pingbacks

• What Is Research Methodology? Simple Definition (With Examples) - Grad Coach - […] Contrasted to this, a quantitative methodology is typically used when the research aims and objectives are confirmatory in nature. For example,…

Submit a Comment Cancel reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

• Print Friendly

What is Research?

Research is a process of systematic inquiry that entails collection of data; documentation of critical information; and analysis and interpretation of that data/information, in accordance with suitable methodologies set by specific professional fields and academic disciplines.

Research is conducted to...

• Evaluate the validity of a hypothesis or an interpretive framework.
• To assemble a body of substantive knowledge and findings for sharing them in appropriate manners.
• To help generate questions for further inquiries.

If you would like further examples of specific ways different schools at Hampshire think about research, see: School Definitions of Research » What is "research" that needs to be reviewed and approved by the Institutional Review Board at Hampshire before proceeding?  Research should be reviewed by the IRB only when human subjects are involved, and the term research should be considered under a more narrow definition. Specifically, when the researcher is conducting research as outlined above AND has direct interaction with participants or data linked to personal identifiers , it should always fall under the purview of the IRB. Even if you have not directly collected the data yourself, as the researcher, your research may fall under the purview of the IRB. In reviewing such research, the IRB is concerned with the methodology of data collection in the "field" (e.g. collection, experimentation, interview, participant observation, etc.) and the use of the data.  The broader validity of the hypotheses or research questions, and the quality of inferences that may result (unless, of course, the research methodologies severely compromise the data collection and data usage directly), is not something they will be evaluating.

What if I am using information that is already available?

If you are doing research that is limited to secondary analysis of data, records, or specimens that are either publicly available, de-identified, or otherwise impossible to be linked to personal identities, you may still need IRB approval to do your project. Sometimes a data use agreement between the researcher and the data custodian may still be required to verify that the researcher will not have access to identifying codes.  This "de-linking" of data from personal identifiers  allows the IRB to make this determination. Regardless, you should submit an IRB proposal so the IRB can determine whether your project needs IRB review, and if so, the type of review required. For specifics of what research should be reviewed by the IRB and the category of review required, see the flow chart and examples provided .

• Dictionaries home
• American English
• Collocations
• German-English
• Grammar home
• Practical English Usage
• Learn & Practise Grammar (Beta)
• Word Lists home
• My Word Lists
• Recent additions
• Resources home
• Text Checker

Definition of research noun from the Oxford Advanced Learner's Dictionary

• scientific/medical/academic research
• They are raising money for cancer research.
• to do/conduct/undertake research
• I've done some research to find out the cheapest way of travelling there.
• research into something He has carried out extensive research into renewable energy sources.
• research on something/somebody Recent research on deaf children has produced some interesting findings about their speech.
• Research on animals has led to some important medical advances.
• according to research According to recent research, more people are going to the movies than ever before.
• Their latest research project will be funded by the government.
• Are you hoping to get a research grant ?
• a research fellow/assistant/scientist
• a research institute/centre/laboratory
• The research findings were published in the Journal of Environmental Quality.
• formulate/​advance a theory/​hypothesis
• build/​construct/​create/​develop a simple/​theoretical/​mathematical model
• develop/​establish/​provide/​use a theoretical/​conceptual framework
• advance/​argue/​develop the thesis that…
• explore an idea/​a concept/​a hypothesis
• make a prediction/​an inference
• base a prediction/​your calculations on something
• investigate/​evaluate/​accept/​challenge/​reject a theory/​hypothesis/​model
• design an experiment/​a questionnaire/​a study/​a test
• do research/​an experiment/​an analysis
• make observations/​measurements/​calculations
• carry out/​conduct/​perform an experiment/​a test/​a longitudinal study/​observations/​clinical trials
• run an experiment/​a simulation/​clinical trials
• repeat an experiment/​a test/​an analysis
• replicate a study/​the results/​the findings
• observe/​study/​examine/​investigate/​assess a pattern/​a process/​a behaviour
• fund/​support the research/​project/​study
• seek/​provide/​get/​secure funding for research
• collect/​gather/​extract data/​information
• yield data/​evidence/​similar findings/​the same results
• analyse/​examine the data/​soil samples/​a specimen
• consider/​compare/​interpret the results/​findings
• fit the data/​model
• confirm/​support/​verify a prediction/​a hypothesis/​the results/​the findings
• prove a conjecture/​hypothesis/​theorem
• draw/​make/​reach the same conclusions
• read/​review the records/​literature
• describe/​report an experiment/​a study
• present/​publish/​summarize the results/​findings
• present/​publish/​read/​review/​cite a paper in a scientific journal
• a debate about the ethics of embryonic stem cell research
• For his PhD he conducted field research in Indonesia.
• Further research is needed.
• Future research will hopefully give us a better understanding of how garlic works in the human body.
• Dr Babcock has conducted extensive research in the area of agricultural production.
• the funding of basic research in biology, chemistry and genetics
• Activists called for a ban on animal research.
• Work is under way to carry out more research on the gene.
• She returned to Jamaica to pursue her research on the African diaspora.
• Bad punctuation can slow down people's reading speeds, according to new research carried out at Bradford University.
• He focused his research on the economics of the interwar era.
• Most research in the field has concentrated on the effects on children.
• One paper based on research conducted at Oxford suggested that the drug may cause brain damage.
• Research demonstrates that women are more likely than men to provide social support to others.
• She's doing research on Czech music between the wars.
• The research does not support these conclusions.
• They are carrying out research into the natural flow patterns of water.
• They lack the resources to do their own research.
• What has their research shown?
• Funding for medical research has been cut quite dramatically.
• a startling piece of historical research
• pioneering research into skin disease
• They were the first to undertake pioneering research into the human genome.
• There is a significant amount of research into the effects of stress on junior doctors.
• He's done a lot of research into the background of this story.
• research which identifies the causes of depression
• spending on military research and development
• the research done in the 1950s that linked smoking with cancer
• The children are taking part in a research project to investigate technology-enabled learning.
• The Lancet published a research paper by the scientist at the centre of the controversy.
• Who is directing the group's research effort?
• She is chief of the clinical research program at McLean Hospital.
• James is a 24-year-old research student from Iowa.
• You will need to describe your research methods.
• Before a job interview, do your research and find out as much as you can about the company.
• Most academic research is carried out in universities.
• This is a piece of research that should be taken very seriously.
• This is an important area of research.
• There's a large body of research linking hypertension directly to impaired brain function.
• In the course of my researches, I came across some of my grandfather's old letters.
• demonstrate something
• find something
• identify something
• programme/​program
• research in
• research into
• research on
• an area of research
• focus your research on something
• somebody’s own research

Join our community to access the latest language learning and assessment tips from Oxford University Press!

Other results

• Cancer Research UK
• the Medical Research Council
• the National Research Council
• operations research
• Medical Research Council

Nearby words

• Cambridge Dictionary +Plus

Meaning of research in English

Your browser doesn't support HTML5 audio

• He has dedicated his life to scientific research.
• He emphasized that all the people taking part in the research were volunteers .
• The state of Michigan has endowed three institutes to do research for industry .
• I'd like to see the research that these recommendations are founded on.
• It took months of painstaking research to write the book .
• absorptive capacity
• dream something up
• modularization
• nanotechnology
• technologist
• the mother of something idiom
• think outside the box idiom
• think something up
• study What do you plan on studying in college?
• major US She majored in philosophy at Harvard.
• cram She's cramming for her history exam.
• revise UK I'm revising for tomorrow's test.
• review US We're going to review for the test tomorrow night.
• research Scientists are researching possible new treatments for cancer.
• The amount of time and money being spent on researching this disease is pitiful .
• We are researching the reproduction of elephants .
• She researched a wide variety of jobs before deciding on law .
• He researches heart disease .
• The internet has reduced the amount of time it takes to research these subjects .
• adjudication
• analytically
• have the measure of someone/something idiom
• interpretable
• interpretive
• reinspection
• reinterpret
• reinterpretation
• reinvestigate
• reinvestigation

You can also find related words, phrases, and synonyms in the topics:

Related word

Research | intermediate english, research | business english, examples of research, collocations with research.

These are words often used in combination with research .

Click on a collocation to see more examples of it.

Translations of research

Get a quick, free translation!

Word of the Day

microbusiness

a very small company, especially a family-owned company employing only a few people

Fakes and forgeries (Things that are not what they seem to be)

Learn more with +Plus

• Recent and Recommended {{#preferredDictionaries}} {{name}} {{/preferredDictionaries}}
• Definitions Clear explanations of natural written and spoken English English Learner’s Dictionary Essential British English Essential American English
• Grammar and thesaurus Usage explanations of natural written and spoken English Grammar Thesaurus
• Pronunciation British and American pronunciations with audio English Pronunciation
• English–Chinese (Simplified) Chinese (Simplified)–English
• English–Chinese (Traditional) Chinese (Traditional)–English
• English–Dutch Dutch–English
• English–French French–English
• English–German German–English
• English–Indonesian Indonesian–English
• English–Italian Italian–English
• English–Japanese Japanese–English
• English–Norwegian Norwegian–English
• English–Polish Polish–English
• English–Portuguese Portuguese–English
• English–Spanish Spanish–English
• English–Swedish Swedish–English
• Dictionary +Plus Word Lists
• English    Noun Verb
• Business    Noun Verb
• Collocations
• Translations
• All translations

To add research to a word list please sign up or log in.

Add research to one of your lists below, or create a new one.

{{message}}

Something went wrong.

There was a problem sending your report.

A ketamine pill may help hard-to-treat depression with fewer side effects, early research suggests

(CNN) —  A new ketamine pill may help hard-to-treat depression with fewer side effects than other forms of the treatment, early research suggests.

Technically, no form of ketamine has been approved by the US Food and Drug Administration to treat any psychiatric disorder, including depression. A derivative of ketamine, called esketamine, was approved in 2019 to treat depression. It’s a nasal spray called Spravato. There’s also FDA-approved injected ketamine, brand-named Ketalar, which can be prescribed off-label.

Both can be a fast-acting lifeline for people living with depression that hasn’t been relieved by other types of treatments. Getting the drug, or a derivative of it, through a vein or as a squirt up the nose requires close medical supervision in a clinic, however, making these options hard for some people to access or even to do.

“It’s very logistically involved. You have to come in and be observed for a couple hours,” said Dr. Brian Barnett, clinical director of the Psychiatric Treatment Resistance Program at the Cleveland Clinic, who was not involved in the study. “The field has really been looking for a way to take advantage of ketamine for depression but let patients take this at home in the form of a pill.”

To confuse matters even further, compounded ketamine lozenges and pills are available through online pharmacies and can be obtained with a prescription, but the FDA  warned patients  and providers about using compounded ketamine last fall because these products have not been evaluated for safety and effectiveness. Some doctors who prescribe ketamine for depression say they are wary of the oral forms because it’s not clear how much of the drug actually makes it to a patient’s bloodstream.

Patients need to be monitored closely because ketamine, which was originally used to dull pain in surgery, can cause feelings of disconnection or disassociation from their bodies and the world around them. It also distorts thinking and decision-making. Some find this hallucinogenic experience beneficial and even pleasant, but others have described it as terrifying. These forms of the drug can also cause a person’s blood pressure to go up, which may make them off-limits for those with heart conditions.

The clinic setting limits who can get the treatment as well, Barnett said. Not all areas have clinics that can do this kind of intensive monitoring, and patients aren’t allowed to drive until the morning after an infusion, so treatments may be out-of-reach if they can’t get a ride or afford a hotel stay.

From a public health standpoint, Barnett said, you can serve more people with a pill than with clinic-based treatments. A  2021 study  estimated that in any given year, 2.8 million American adults have treatment-resistant depression.

“It would be very beneficial for many people to have this available as a medication that they could take at   home. But obviously, we want a medication like that to have very minimal dissociative side effects,” Barnett said.

That’s where slow-release ketamine pills come in.

Studying drug withdrawal to see if it works

For the study, which was published Monday in the journal Nature Medicine, researchers in New Zealand enrolled 231 adults who had been diagnosed with treatment-resistant depression, meaning they had tried at least two different antidepressants to lift their mood without success.

The study participants scored an average of 30 points on a clinical scale that measures depressive symptoms, a score that’s considered moderate depression, and on average, they’d tried nearly five different treatments without relief.

For the first five days of the study, all of the participants took a daily dose of 120 milligrams of ketamine in the form of a slow-release pill. On day eight, the researchers assessed who had responded to the drug. Slightly more than half the group – 132 – had remission of their symptoms, meaning they scored under 10 on the clinical scale. Overall, 168 had some degree of benefit and were considered responders to the pill. People who had not responded to the drug were not eligible to continue with the research.

Those 168 adults were randomly assigned to one of five treatment groups; 37 people got a placebo, or dummy pill, while roughly equal-size groups took one of four daily doses of ketamine that ranged from 30 milligrams to 180 milligrams.

By 14 weeks, everyone taking ketamine still continued to see some relief from their depression, but for most groups, the differences compared with placebo were not statistically significant, meaning they could have been observed due to chance alone.

Researchers did see what’s called a dose response, however, meaning the higher the dose of the drug, the more relief participants had in their depressive symptoms, which is usually a sign that the drug is having a real effect.

People who took the highest dose, 180 milligrams a day, did see a statistically significant benefit, a reduction in their depression score of about six points compared with the placebo group.

“The results here, they look encouraging,” Barnett said, noting that a two-point drop in the clinical rating scale the researchers used is considered meaningful to patients.

A six-point drop is “similar to what we’ve seen in recent clinical trials of psilocybin for treatment-resistant depression,” Barnett said, referring to a chemical in certain mushrooms that’s currently being studied.

During the first five days   of the study, when everyone was taking the drug, the most common side effects reported were dizziness, headache, dissociation, fatigue, feeling abnormal and nausea.

About 11% of people taking the 120 milligram ketamine pill at the beginning of the study   said they experienced dissociation or feeling disconnected. But this appeared to be much milder than the dissociation reported by people who get   ketamine infusions. On a commonly used rating scale, people taking the ketamine pill ranked below a score of 3 in the first phase of the study, but  another study  found that people getting IV ketamine rated their dissociation around a 7.

Effects on blood pressure were also minimal with the slow-release pill.

Weighing study biases

Experts agree that the study was an important first step.

“The report is important since it is the first large placebo-controlled study to be published attempting to explore the benefits of oral ketamine,” Dr. Gerard Sanacora, director of the Yale Depression Research Program, who was not involved in the study, wrote in an email.

But Sanacora said the design of the study, which is known as a randomized withdrawal trial, probably biased the results in favor of making the drug look more effective than it might be in the real world, something the study authors acknowledge, too.

By studying only people who responded to the drug, the study authors noted that they hoped to avoid the high failure rates of many antidepressants tested in a general population, where as many as 50% of trials fail to show an effect compared with a placebo.

Sanacora said it’s very likely that the study participants could have known they were getting ketamine, rather than the placebo, and therefore expected it to work.

“It is usually easier to guess correctly once you have been exposed to the active treatment and then receive the inactive treatment,” he wrote.

Therefore, he said, it would be really important for the pills to be retested in a larger population to get an idea of how well they might work in the real world.

He noted that there’s a “tremendous tension” between wanting the important benefits of a drug like ketamine to be more available to people and making sure the treatment can be given safely and responsibly.

“This is a step in the right direction, but we clearly need more high-quality data before we can say much more about the overall efficacy and safety of the new form of treatment and especially the safety of doing this at home,” Sanacora wrote.

Challenges of oral dosing

Perhaps unsurprisingly, the study, which led to withdrawal and depression relapse for many, had a high drop-out rate. Of the 168 people who initially saw benefit from the pills, 100 didn’t complete the trial. Ninety-four left because they stopped being helped by their treatment. One person left because of an adverse event. Four others left for unspecified reasons. A 65-year-old man died as a result of suicide.

The researchers say the study’s independent review committee judged that the death was a result of the patient’s depression rather than the treatment.

“Attempted and completed suicide is a sad reality of treatment trials in patients with depression,” noted study author Dr. Paul Glue, a professor in the Department of Psychological Medicine at the University of Otago in Dunedin, New Zealand, in an email.

Both Barnett and Sanacora agreed that it was difficult to know whether the drug played any role in a study this size and said that larger studies were needed to tease out any serious safety signals.

Among the participants, women and younger adults tended to have stronger   treatment effects than men and older adults.

That may have something to do with the way the pills are metabolized, Barnett said.

“One of the challenges with oral ketamine, one of the reasons that we haven’t used as much for depression as IV, is that it can be sort of unpredictable, and how much is getting into the bloodstream?” he said. However, he thought the slow-release form of the pill probably helped with maintaining a steadier dose.

(Copyright (c) 2024 CNN. All Rights Reserved. This material may not be published, broadcast, rewritten, or redistributed.)

• 7WEATHER: Strong Storms Possible Tonight, Comfortable End to the Week
• Eastern Nazarene College in Quincy announces closure
• Norfolk residents rally in protest of migrant housing at closed prison
• Coup attempt in Bolivia fails as president urges people to mobilize against democracy threat
• New report says Boston has fourth worst traffic in the US
• 1-year-old child from Fall River recovered safely in Alabama after multi-state search

• Skip to main content
• Keyboard shortcuts for audio player

Home prices just hit a record high. Here are 4 things to know about housing

Scott Horsley

Home prices hit a record high in May even as home sales fell. High interest rates are keeping many would-be buyers and sellers on the sidelines. Brandon Bell/Getty Images North America hide caption

It's a tough time to buy a home.

Home prices jumped to a record high last month, according to data out this week. Elevated mortgage rates kept many would-be buyers and sellers on the sidelines — and the lack of homes for sale is driving up prices for homes that are on the market.

Housing costs

Here are four things to know about the current housing market.

Not many people are buying — or selling

May is typically peak season for buying and selling houses. But fewer existing homes were sold last month than in April. And sales were down 2.8% from a year ago, according to the National Association of Realtors .

A key reason is the elevated mortgage rates across the country. They have made it more expensive to buy a house, pushing some would-be buyers out of the market. In addition, many people who already own homes are reluctant to sell, since that would mean giving up their current, cheaper mortgage.

The relatively few homes that are selling are typically going for higher prices. The median price of a home sold in May was $419,300 — an all-time record.

Average home prices are climbing because the more affordable end of the market, including starter homes, has largely dried up.

"At lower price points, people are being priced out of the home-buying market, and there's just less inventory when we think about homes that are under $250,000," says Jessica Lautz, deputy chief economist for the Realtors association.

At least interest rates are not as high as they were

There is some good news: Interest rates have fallen slightly in recent weeks. The average rate on a 30-year mortgage this week was 6.87%, according to Freddie Mac , down from 7.2% in early May. And mortgage rates could fall further if the Federal Reserve decides to cut borrowing costs later this year.

You'll need more than $100,000 in income to afford a typical home, studies show

Still, rates are more than twice as high as they were before the pandemic. Higher interest rates, along with higher home prices have dramatically increased the monthly payment required to buy a home today.

A few more 'For Sale' signs are popping up

There's other promising news. While the number of existing homes on the market is still low by historical standards, it is inching up. According to the Realtors association, there were 1.28 million homes for sale at the end up May — 18.5% more than a year ago.

While higher interest rates have kept many homeowners feeling "locked in" to their current home, eventually life events can force some people to move.

"Perhaps they have a new job or a new baby or a family change," Lautz says. "We're seeing new inventory come into the market because of these traits."

But builders are no longer coming to the rescue

The shortage of existing homes on the market has created an opening for builders, and for a time newly-built houses were helping to fill the gap in the market. In April, nearly a third of all homes for sale were newly built — compared to 13% before the pandemic.

New home construction is slowing, however, which could worsen the shortage of homes for sale. Builders broke ground on 5.2% fewer single-family homes in May than they did in April. Building permits for future construction were also down 2.9%.

• Home prices

Antarctica's melting ice is reaching a "tipping point" due to climate change, study finds

New research indicates we've been underestimating how damaging climate change is in the south pole, by matthew rozsa.

Like a magnifying glass on an anthill, excessive emissions from burning fossil fuels is melting the Antarctic ice sheet . The faster it liquefies, the more we're faced with the dire prospect of extreme sea level rise . Scientists have debated whether a "tipping point" exists for this ice sheet, or a moment when the effects of this melting would be suddenly both irreversible and catastrophic.

Now a recent study in the journal Nature Geoscience reveals that such a tipping point may indeed exist. As it turns out, scientists have misunderstood a key aspect of the physical process behind the Antarctic ice sheet's ongoing melting, and therefore have underestimated the ultimate impact of climate change on Antarctica.

The British Antarctic Survey researchers discovered that warm ocean water is seeping beneath the Antarctic ice sheet at its so-called "grounding line," or the point at which the ice from a large body rises from the seabed and begins to float. When warm water moves under a grounding line, the ice melts at an accelerated pace and could pass a threshold where the body's ultimate collapse is inevitable. While this process occurs, sea levels will rise at a much faster rate than currently predicted, resulting in millions of people from coastal communities being displaced over the upcoming decades and centuries.

"Our results point towards a stronger sensitivity of ice-sheet melting, and thus higher sea-level-rise contribution in a warming climate, than has been previously understood," the researchers write. Although they acknowledge that their model likely simplifies the melting process by overlooking variables currently unknown to scientists, they argue that "the possibility of tipping points in grounding-zone melt and the universality of susceptible shelves warrants a continued research effort to better constrain grounding-zone processes both from models and observations."

Last month, a study published in the journal PNAS revealed that Antarctica's so-called "Doomsday Glacier" is nearing collapse , as revealed by high-resolution satellite radar data that shows Thwaites is being flooded with warm sea water. And in February, a study in the journal Nature Geoscience, found the West Antarctic Ice Sheet — which is roughly the size of Mexico (1.97 million square kilometers in area), and which is already melting at an alarming rate — once underwent a period roughly 8,000 years ago in which it dramatically and quickly shrank. Now history is seemingly repeating itself , but this time, human activity is to blame.

about climate change

• Will Earth hit a climate "tipping point?" Here's why experts say this framework is problematic
• Extinction or adaptation? The plague of wildfires in Chile is a warning for our future
• Electric school bus carbon test: Why the EPA’s new green-school grants matter

Numbers, Facts and Trends Shaping Your World

Read our research on:

Full Topic List

Regions & Countries

• Publications
• Our Methods
• Short Reads
• Tools & Resources

Read Our Research On:

• Cultural Issues and the 2024 Election

Immigration, gender identity, racial diversity and views of a changing society

Table of contents.

• Voters’ views about race and society, the impact of the legacy of slavery
• Most voters, but not all, view the nation’s diversity as a strength
• How should the country handle undocumented immigrants currently in the U.S.?
• Attitudes toward hearing other languages in public places
• Biden and Trump supporters’ views about discussing America’s historical successes, failures
• How does the U.S. compare with other countries?
• Views of women’s progress
• How much of a priority should marriage and children be?
• Abortion, IVF access and birth control
• Views of gender identity
• Voters’ attitudes toward use of gender-neutral pronouns
• Societal impact of more social acceptance of lesbian, gay, bisexual people
• Religion and government policy
• How much influence should the Bible have on the nation’s laws, if any?
• Views on the federal government’s role in promoting Christian values
• Most voters say it is not necessary to believe in God to be moral
• Is the justice system too tough on criminals, or not tough enough?
• Policing and law enforcement
• How Trump, Biden supporters view gun rights and ownership
• Views on the increasing number of guns in the U.S.
• Acknowledgments
• The American Trends Panel survey methodology

Pew Research Center conducted this study to understand voters’ political values related to cultural issues in the context of the 2024 election. For this analysis, we surveyed 8,709 adults, including 7,166 registered voters, from April 8 to 14, 2024. Everyone who took part in this survey is a member of the Center’s American Trends Panel (ATP), an online survey panel that is recruited through national, random sampling of residential addresses. This way nearly all U.S. adults have a chance of selection. The survey is weighted to be representative of the U.S. adult population by gender, race, ethnicity, partisan affiliation, education and other categories. Read more about the ATP’s methodology . 

Here are the questions used for the report and its methodology . 

The 2024 presidential campaign is taking place amid intense debates over such topics as immigration, growing racial and ethnic diversity in the United States, the changing American family, crime and reproductive issues.

These topics sometimes are grouped together as “culture war” or “woke” issues.

On most – but not all – of these topics, voters who support President Joe Biden and former President Donald Trump have starkly different opinions. Yet in many cases, Biden and Trump supporters are themselves sharply divided.

Across more than 30 measures, some of the widest differences are on issues that have divided Americans for decades: the role of guns in society, as well as race and the legacy of slavery.

Yet, Biden and Trump supporters also have very different opinions across many other topics likely to be focal points in the campaign: gender identity and sexual orientation, crime and policing, reproductive issues, the influence of religion on society and the changes that have transformed life in the U.S. in recent decades.

A new survey by Pew Research Center of 8,709 adults – including 7,166 registered voters – conducted April 8-14, 2024, examines the political values of the Biden and Trump coalitions that underlie policy attitudes in many of these areas.

Jump to read about Biden and Trump supporters’ views on: Race and racial diversity | Immigration and language | American history | Gender and family | Gender identity and sexual orientation | Religion | Crime and policing | Guns

Among the major findings:

Enduring divisions on race and the legacy of slavery. Just 27% of registered voters who support Trump say the legacy of slavery affects the position of Black people in America today a great deal or fair amount; 73% say it has little or no impact.

Opinions among Biden supporters are nearly the opposite: 79% say slavery’s legacy still affects the position of Black people, while 20% say it has not too much or no effect.

Wide gaps on gender identity and same-sex marriage. While Americans have complex opinions on gender identity and transgender rights , a growing share of voters (65%) say that whether a person is a man or woman is determined by the sex they were assigned at birth. About a third (34%) say someone can be a man or woman, even if that differs from their sex at birth.

• Nearly all Trump supporters (90%) say gender is determined by sex at birth. By contrast, Biden supporters are more divided. About six-in-ten (59%) say gender can be different from sex at birth; 39% say gender is determined by sex at birth.
• Nearly a decade after the Supreme Court legalized same-sex marriage , Biden and Trump supporters have starkly different views of the impact of that historic ruling. Biden supporters are about five times as likely (57%) as Trump supporters (11%) to say legalization of same-sex marriage is good for society.

Most Trump voters now favor a “national effort to deport” all those in the U.S. illegally. Opposition to allowing undocumented immigrants to stay in the country legally if they meet certain requirements has risen in recent years, driven largely by Republican and Republican-leaning registered voters.

• Nearly two-thirds of Trump backers (63%) support a national effort to deport all those in the country illegally, compared with just 11% of Biden supporters.

Divided views of the criminal justice system. A majority of voters (61%) say the criminal justice system is generally “not tough enough on criminals.” Just 13% say the system is too tough, while 25% say it treats criminals about right.

• Trump supporters (81%) are about twice as likely as Biden supporters (40%) to say the criminal justice system is not tough enough on criminals.
• Yet, there are much narrower differences in several priorities for the police and law enforcement: Overwhelming majorities of Biden and Trump supporters say it is extremely or very important for police and law enforcement to keep communities safe and to treat people of all racial and ethnic groups equally.

The changing American family. The structure of American family is very different than it was 40 or 50 years ago . Biden and Trump supporters view these changes very differently:   

• Roughly three times as many Trump supporters as Biden supporters say society is better if people prioritize marriage and family (59% vs. 19%).
• And Trump supporters are far more likely to take a negative view of the nation’s falling birth rate: 47% say people having fewer children is a bad thing, compared with 23% of Biden supporters.

Divisions on abortion, more agreement on availability of contraceptives. Since the Supreme Court’s 2022 decision overturning Roe v. Wade, which guaranteed a right to abortion, support for legal abortion has ticked up in both parties.

• Today, 88% of Biden supporters say abortion should be legal in all or most cases; 38% of Trump supporters say the same.

By contrast, voters – including large majorities of both candidates’ supporters – overwhelmingly say the wide availability of birth control pills, condoms and other forms of contraception is good for society.

Broad support among voters for discussing America’s historical successes – and its flaws. The survey finds that while Biden and Trump supporters have profoundly different attitudes on many cultural issues, they mostly support the discussion of America’s historical successes, as well as its flaws.

• Nearly identical shares of Biden (74%) and Trump supporters (71%) say it is extremely or very important to have public discussions about the country’s historical successes and strengths.
• 78% of Biden supporters and 60% of Trump supporters say it is at least very important to have public discussions about the country’s failures and flaws.

Voters are very positive about more open discussions of mental health. More than eight-in-ten voters (87%) say that more people openly discussing mental health and well-being is good for society. This includes large majorities of both Biden (94% good thing) and Trump supporters (79%).

Related: Who do Americans feel comfortable talking to about their mental health?

There is broad skepticism about the increased use of artificial intelligence (AI) in daily life. More than half of voters (55%) say this is bad for society, while 21% see this as a good thing (24% say it is neither good nor bad). There are only modest differences in these views between Trump supporters (59% say this is bad for society) and Biden supporters (51%).

Related: Growing public concern about the role of artificial intelligence in everyday life

Voters’ comfort level with some common – and less common – experiences

To some extent, voters’ political values are reflected in whether or not they’re comfortable with fairly common experiences.

A large share of voters (80%), including sizable majorities of Biden and Trump supporters, say they are comfortable with someone they don’t know saying they will keep them in their prayers.

Most women in opposite-sex marriages continue to take their husbands’ last names when they marry. Still, three-quarters of voters say they are comfortable with women not taking their husbands names.

Trump supporters are less comfortable than Biden supporters with women not taking their husbands’ last names. And among men who support the former president, 44% are uncomfortable with this practice, compared with 29% of women who support Trump.

There is a wider gap between Biden and Trump voters in comfort with people speaking a language other than English in public places in their communities. More than eight-in-ten Biden supporters (83%) are comfortable hearing languages other than English, compared with a narrow majority of Trump supporters (54%).

And, reflecting the wide divide between the two sides in opinions on transgender issues, just 20% of Trump supporters say they are comfortable with someone using “they/them” instead of “he” or “she” to describe themselves. More than three times as many Biden supporters (66%) – including 79% of Biden supporters under age 50 – say they are comfortable with the use of these gender-neutral pronouns.

Sign up for our weekly newsletter

Fresh data delivery Saturday mornings

Sign up for The Briefing

Weekly updates on the world of news & information

• Criminal Justice
• Discrimination & Prejudice
• Donald Trump
• Election 2024
• Gender Equality & Discrimination
• Gender Identity
• Immigration & Language Adoption
• LGBTQ Attitudes & Experiences
• Marriage & Divorce
• Partisanship & Issues
• Political Issues
• Racial Bias & Discrimination
• Religion & Government
• Religion & Politics
• Unauthorized Immigration

Americans’ Views of Government’s Role: Persistent Divisions and Areas of Agreement

6 facts about presidential and vice presidential debates, biden, trump are least-liked pair of major party presidential candidates in at least 3 decades, more than half of americans are following election news closely, and many are already worn out, americans have mixed views about how the news media cover biden’s, trump’s ages, most popular, report materials.

1615 L St. NW, Suite 800 Washington, DC 20036 USA (+1) 202-419-4300 | Main (+1) 202-857-8562 | Fax (+1) 202-419-4372 |  Media Inquiries

Research Topics

• Email Newsletters

ABOUT PEW RESEARCH CENTER  Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of  The Pew Charitable Trusts .

© 2024 Pew Research Center