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  2. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    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. In practice, the sample size used in a study is usually determined based on the cost, time, or convenience of collecting the data, and the need for it to offer sufficient statistical power .

  3. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    [124] [125] It is especially important to exactly determine the structure of the sample (and specifically the size of the subgroups) when subgroup analyses will be performed during the main analysis phase. [126] The characteristics of the data sample can be assessed by looking at: Basic statistics of important variables; Scatter plots

  4. SPSS - Wikipedia

    en.wikipedia.org/wiki/SPSS

    SPSS Statistics Server is a version of the software with a client/server architecture. Add-on packages can enhance the base software with additional features (examples include complex samples, which can adjust for clustered and stratified samples, and custom tables, which can create publication-ready tables

  5. Sampling (statistics) - Wikipedia

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

    A visual representation of the sampling process. In statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short) of individuals from within a statistical population to estimate characteristics of the whole population.

  6. Quantitative research - Wikipedia

    en.wikipedia.org/wiki/Quantitative_research

    Quantitative research is a research strategy that focuses on quantifying the collection and analysis of data. [1] It is formed from a deductive approach where emphasis is placed on the testing of theory, shaped by empiricist and positivist philosophies.

  7. Coding (social sciences) - Wikipedia

    en.wikipedia.org/wiki/Coding_(social_sciences)

    For quantitative analysis, data is coded usually into measured and recorded as nominal or ordinal variables.. Questionnaire data can be pre-coded (process of assigning codes to expected answers on designed questionnaire), field-coded (process of assigning codes as soon as data is available, usually during fieldwork), post-coded (coding of open questions on completed questionnaires) or office ...

  8. Design effect - Wikipedia

    en.wikipedia.org/wiki/Design_effect

    In survey research, the design effect is a number that shows how well a sample of people may represent a larger group of people for a specific measure of interest (such as the mean). This is important when the sample comes from a sampling method that is different than just picking people using a simple random sample.

  9. Norman H. Nie - Wikipedia

    en.wikipedia.org/wiki/Norman_H._Nie

    SPSS has been a publicly traded company on the NASDAQ since 1993. Originally invented to solve the problem of analyzing data for Nie's dissertation, SPSS soon became widely used among other social scientists and researchers. Along with SAS, it revolutionized empirical social science. In an essay entitled "Doing It Ourselves: The SPSS Manual as ...