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Study designs: Part 1 An overview and classification

types of study design

Descriptive (or nonanalytical) studies, as the name suggests, merely try to describe the data on one or more characteristics of a group of individuals. These do not try to answer questions or establish relationships between variables. Examples of descriptive studies include case reports, case series, and cross-sectional surveys (please note that cross-sectional surveys may be analytical studies as well – this will be discussed in the next article in this series).

Dependent Variable

The experiment may be blinded, which means that any information which may influence the participant is withheld while the trial is ongoing or maybe double blinded in which the information is withheld from both the subject and the investigator [5]. Case reports pertain to a specific description of an individual demonstrating an atypical disease condition. The abnormal findings in the case report may imply an association between a risk factor and the disease.

Study designs: Part 1 – An overview and classification : Perspectives in Clinical Research

On questions where two versions are used, significant differences in the answers between the two forms tell us that the difference is a result of the way we worded the two versions. It is usually called a meta-analysis by the author or sponsoring body and should be differentiated from reviews of literature. Cross-Sectional Studies - Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time.

There are two basic types of experimental research

For example, a the control arm of a randomised trial may also be used as a cohort study; and the baseline measures of a cohort study may be used as a cross-sectional study. As you can see, grounded theory is ideally suited to studies where the research aims involve theory generation, especially in under-researched areas. Keep in mind though that this type of research design can be quite time-intensive, given the need for multiple rounds of data collection and analysis. There are many different research design types when it comes to qualitative studies, but here we’ll narrow our focus to explore the “Big 4”.

Community trial

Examples of descriptive studies include a survey of dietary habits among pregnant women or a case series of patients with an unusual reaction to a drug. Cohort studies can be classified as prospective and retrospective.7 Prospective cohort studies follow subjects from presence of risk factors/exposure to development of disease/outcome. This could take up to years before development of disease/outcome, and therefore is time consuming and expensive. On the other hand, retrospective cohort studies identify a population with and without the risk factor/exposure based on past records and then assess if they had developed the disease/outcome at the time of study. Thus, the study design for prospective and retrospective cohort studies are similar as we are comparing populations with and without exposure/risk factor to development of outcome/disease.

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types of study design

In other words, you can’t generalise the findings from a case study to the broader population. For example, if you’re studying smartphone addiction among adolescents in your community, you could deploy a survey to a sample of teens asking them to rate their agreement with certain statements that relate to smartphone addiction. The collected data would then provide insight regarding how widespread the issue may be – in other words, it would describe the situation. Research design refers to the overall plan, structure or strategy that guides a research project, from its conception to the final data analysis. A good research design serves as the blueprint for how you, as the researcher, will collect and analyse data while ensuring consistency, reliability and validity throughout your study. Study designs are the set of methods and procedures used to collect and analyze data in a study.

types of study design

”; 88% said they were dissatisfied, compared with only 78% without the context of the prior question. An example of a wording difference that had a significant impact on responses comes from a January 2003 Pew Research Center survey. When people were asked whether they would “favor or oppose taking military action in Iraq to end Saddam Hussein’s rule,” 68% said they favored military action while 25% said they opposed military action. The introduction of U.S. casualties altered the context of the question and influenced whether people favored or opposed military action in Iraq.

Types of Bias in Randomized Controlled Trials: A Refresher for Military Mental Health Providers - Health.mil

Types of Bias in Randomized Controlled Trials: A Refresher for Military Mental Health Providers.

Posted: Mon, 04 Feb 2019 08:00:00 GMT [source]

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Double-Blind Method - A method of studying a drug or procedure in which both the subjects and investigators are kept unaware of who is actually getting which specific treatment. In this research design, the researcher explores concepts and ideas on a subject to explore more theories. The main aim of the research is to explore the subjects’ undiscovered aspects and answer questions like what, how, and why.

Research Design Vs Research Methodology

In these studies, the researcher assesses the effect of an exposure (or intervention) on an outcome. As described earlier, analytical studies can be observational (if the exposure is naturally determined) or interventional (if the researcher actively administers the intervention). Interventional studies are experiments where the researcher actively performs an intervention in some or all members of a group of participants. This intervention could take many forms – for example, administration of a drug or vaccine, performance of a diagnostic or therapeutic procedure, and introduction of an educational tool.

This is because certain responses can be modified based on the knowledge of the experiment group that they are in. For example, a group allocated in the non‐intervention group may not feel better as they are not getting the treatment, or an investigator may pay more attention to the group receiving treatment, and thereby potentially affecting the final results. However, certain treatments cannot be blinded such as surgeries or if the treatment group requires an assessment of the effect of intervention such as quitting smoking. In block randomization, the subjects of similar characteristics are classified into blocks. The aim of block randomization is to balance the number of subjects allocated to each experiment/intervention group. For example, let's assume that there are four subjects in each block, and two of the four subjects in each block will be randomly allotted to each group.

In these studies, the diagnosis, treatment and monitoring are performed exclusively according to medical practice and not according to a specified study protocol.[9] They are subclassified as per Figure 2. Retrospective Studies - Studies used to test etiologic hypotheses in which inferences about an exposure to putative causal factors are derived from data relating to characteristics of persons under study or to events or experiences in their past. The essential feature is that some of the persons under study have the disease or outcome of interest and their characteristics are compared with those of unaffected persons.

There could be a ‘carry-over’ effect (carrying the improvement from the first treatment to the second phase) for the participants. A nested case‐control study consists of defining a cohort with suspected risk factors and assigning a control within a cohort to the subject who develops the disease.10 Over a period, cases and controls are identified and followed as per the investigator's protocol. Hence, the case and control are matched on calendar time and length of follow‐up. When this study design is implemented, it is possible for the control that was selected early in the study to develop the disease and become a case in the latter part of the study. Cohort studies are typically chosen as a study design when the suspected exposure is known and rare, and the incidence of disease/outcome in the exposure group is suspected to be high. The choice between prospective and retrospective cohort study design would depend on the accuracy and reliability of the past records regarding the exposure/risk factor.

These studies all include matched groups of subjects and assess of associations between exposures and outcomes. In experimental studies, the researcher manipulates the exposure, that is he or she allocates subjects to the intervention or exposure group. Experimental studies, or randomised controlled trials (RCTs), are similar to experiments in other areas of science. That is, subjects are allocated to two or more groups to receive an intervention or exposure and then followed up under carefully controlled conditions.

Medical research has evolved, from individual expert described opinions and techniques, to scientifically designed methodology-based studies. Evidence-based medicine (EBM) was established to re-evaluate medical facts and remove various myths in clinical practice. Studies were classified based on the method of collection and evaluation of data. Clinical study methodology now needs to comply to strict ethical, moral, truth, and transparency standards, ensuring that no conflict of interest is involved.

” – are difficult for respondents to answer and often lead to responses that are difficult to interpret. In this example, it would be more effective to ask two separate questions, one about domestic policy and another about foreign policy. The choice of words and phrases in a question is critical in expressing the meaning and intent of the question to the respondent and ensuring that all respondents interpret the question the same way. Even small wording differences can substantially affect the answers people provide.

It helps in determining association between an exposure (risk factor) and an outcome across different populations rather than individuals. For example, of ecological study is the comparison of the prevalence of lung cancer in Russia and Germany. Ecological studies are cost-effective and often serve as the initiation point for generation of hypothesis.

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