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Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
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Statistical inference in behavior analysis: Discussant's remarks.

R L Shull

    The Behavior Analyst
    |April 6, 2012
    PubMed
    Summary
    This summary is machine-generated.

    This study explores inferential statistics in behavior analysis. It discusses individual organism research, thoughtful method application, statistical description, aberrant data, and derived measures for finding behavioral invariances.

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    Area of Science:

    • Behavior analysis
    • Inferential statistics

    Background:

    • Essays on inferential statistics in behavior analysis raised key research questions.
    • Consideration of statistical practices is crucial for advancing behavior-analytic science.

    Purpose of the Study:

    • To address five critical issues concerning the application of inferential statistics in behavior-analytic research.
    • To explore the acceptance of single-subject research designs and the role of statistical description.

    Main Methods:

    • The study is based on a collection of essays discussing statistical methodologies.
    • It involves a conceptual analysis of five specific issues within behavior-analytic research.

    Main Results:

    • Discusses the acceptance of individual organism research within the field.
    • Highlights the importance of thoughtful application of research methods.
    • Examines the heuristic value of statistical description and the treatment of aberrant data.
    • Considers the role of derived measures in identifying behavioral invariances.

    Conclusions:

    • Emphasizes the need for careful consideration of statistical methods in behavior analysis.
    • Suggests that addressing these issues can enhance the rigor and progress of behavior-analytic research.
    • Advocates for the continued exploration of statistical approaches to uncover general principles and invariances.