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Related Experiment Videos

Statistical approach to the word association test.

P Lánský, L Pons

    Activitas Nervosa Superior
    |September 1, 1985
    PubMed
    Summary

    This study compares six quantitative measures for word association tests. The entropy of the response distribution (I) is recommended for general use due to its theoretical and experimental advantages.

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    Area of Science:

    • Psycholinguistics
    • Cognitive Psychology
    • Quantitative Psychology

    Background:

    • The Word Association Test (WAT) is a common tool in psychology.
    • Quantitative measures are needed to analyze the response domain of the WAT.
    • Existing measures vary in their applicability and theoretical grounding.

    Purpose of the Study:

    • To summarize and compare six quantitative single-valued measures for the WAT response domain.
    • To evaluate these measures on both theoretical and experimental levels.
    • To identify the most suitable measure for general application.

    Main Methods:

    • Summarized six measures: primary response probability (w), response diversity (K), idiosyncratic responses (H), Zinger's coefficient (Z), Lasker's isonymy coefficient (Ri), and response distribution entropy (I).
    • Conducted a theoretical comparison of the measures.
    • Performed an experiment with 175 subjects responding to 40 stimuli words, presented twice.

    Main Results:

    • The entropy of the response distribution (I) demonstrated strong theoretical and experimental support.
    • All six measures were evaluated, providing a comparative analysis.
    • The experiment provided empirical data for measure validation.

    Conclusions:

    • The entropy measure (I) is preferred for general application in word association studies.
    • The study offers a framework for selecting appropriate quantitative measures for WAT.
    • Findings contribute to the objective analysis of verbal behavior.

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