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  2. Nonprobability sampling - Wikipedia

    en.wikipedia.org/wiki/Nonprobability_sampling

    Judgment sampling or purposive sampling, where the researcher chooses the sample based on who they think would be appropriate for the study. This is used primarily when there is a limited number of people that have expertise in the area being researched, or when the interest of the research is on a specific field or a small group.

  3. Quota sampling - Wikipedia

    en.wikipedia.org/wiki/Quota_sampling

    Quota sampling is the non-probability version of stratified sampling. In stratified sampling, subsets of the population are created so that each subset has a common characteristic, such as gender. Random sampling chooses a number of subjects from each subset with, unlike a quota sample, each potential subject having a known probability of being ...

  4. Interpretative phenomenological analysis - Wikipedia

    en.wikipedia.org/wiki/Interpretative...

    Interpretative phenomenological analysis (IPA) is a qualitative form of psychology research. IPA has an idiographic focus, which means that instead of producing generalization findings, it aims to offer insights into how a given person, in a given context, makes sense of a given situation.

  5. Stratification (clinical trials) - Wikipedia

    en.wikipedia.org/wiki/Stratification_(clinical...

    Stratification is used in quota sampling, a non-random method in which the researcher identifies strata of the population and pre-determines how many participants are needed from each stratum. [1] This is considered a better method than convenience sampling, as it attempts to ensure different strata are properly represented.

  6. Sampling (statistics) - Wikipedia

    en.wikipedia.org/wiki/Sampling_(statistics)

    In social science research, snowball sampling is a similar technique, where existing study subjects are used to recruit more subjects into the sample. Some variants of snowball sampling, such as respondent driven sampling, allow calculation of selection probabilities and are probability sampling methods under certain conditions.

  7. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    Sample size determination or estimation is the act of choosing the number of observations or replicates to include in a statistical sample.The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample.

  8. Jerzy Neyman - Wikipedia

    en.wikipedia.org/wiki/Jerzy_Neyman

    Jerzy Neyman (April 16, 1894 – August 5, 1981; born Jerzy Spława-Neyman; Polish: [ˈjɛʐɨ ˈspwava ˈnɛjman]) was a Polish mathematician and statistician who first introduced the modern concept of a confidence interval into statistical hypothesis testing [2] and, with Egon Pearson, revised Ronald Fisher's null hypothesis testing.

  9. Thematic analysis - Wikipedia

    en.wikipedia.org/wiki/Thematic_analysis

    Thematic analysis is often understood as a method or technique in contrast to most other qualitative analytic approaches – such as grounded theory, discourse analysis, narrative analysis and interpretative phenomenological analysis – which can be described as methodologies or theoretically informed frameworks for research (they specify ...