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There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.

Group Design

Group Design

The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between the two are due to...

Surveys

Surveys

Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.

Convenience Sampling Method

Convenience Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...

Stratified Sampling Method

Stratified Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...

Cluster Sampling Method

Cluster Sampling Method

Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...

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Related Experiment Video

Updated: Jun 26, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

Content Generalizability: Generalizing Qualitative Research to the General Study Population.

Costas S Constantinou¹

¹Department of Basic and Clinical Sciences, University of Nicosia Medical School, Nicosia 2417, Cyprus.

Methods and Protocols

|June 25, 2026

Summary

Qualitative research can now be generalized to the broader population using "content generalizability." This new method expands qualitative research applications, informing policy and driving social change.

Keywords:

content generalizability data saturation generalization qualitative inquiry qualitative research

Related Experiment Videos

Last Updated: Jun 26, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

Area of Science:

Qualitative Research Methodology
Social Sciences
Scientific Inquiry

Background:

Generalizability of qualitative findings to the general population is under-explored.
Existing concepts like analytical generalizability and transferability have limitations.
Qualitative research is often perceived as exploratory due to small, non-randomized samples.

Purpose of the Study:

Introduce a novel concept: content generalizability.
Propose a procedure for applying content generalizability.
Expand the utility of qualitative research in informing policy and social change.

Main Methods:

Concept analysis was employed to develop content generalizability.
The proposed concept and procedure were tested and applied in empirical research.

Main Results:

Content generalizability offers a new framework for generalizing qualitative findings.
This approach allows qualitative insights to represent the general study population.
The study demonstrates the practical application of content generalizability.

Conclusions:

Content generalizability enhances the scientific value of qualitative research.
It provides a pathway for qualitative data to inform policy and social change.
This expands the scope and impact of qualitative inquiry within the scientific community.