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Methdological issues in life-span developmental psychology from a dialectical perspective.

A R Buss

    International Journal of Aging & Human Development
    |January 1, 1979
    PubMed
    Summary

    Bifactorial ANOVA designs for developmental phenomena analysis are ineffective. Regression techniques offer a more suitable approach for understanding development and the individual-environment dialectic.

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    Area of Science:

    • Developmental Psychology
    • Quantitative Research Methods

    Background:

    • Bifactorial ANOVA designs have been utilized for describing and explaining developmental phenomena.
    • These designs, as formulated by Schaie and Baltes, use age, cohort, or time of measurement as independent variables.

    Purpose of the Study:

    • To critically evaluate the utility of bifactorial ANOVA in developmental research.
    • To propose alternative, more effective data analysis methods for developmental phenomena.

    Main Methods:

    • Analysis of the logic and application of bifactorial ANOVA designs in developmental studies.
    • Comparison of ANOVA with regression techniques for developmental data analysis.

    Main Results:

    • Bifactorial ANOVA, as applied in developmental research, has proven to be a "blind alley."

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  • Regression techniques provide more reasonable and advantageous data analysis designs for developmental questions.

    • Conclusions:

    • The application of bifactorial ANOVA for developmental phenomena is not recommended.
    • Regression models are superior for describing and explaining development, including concepts like disenagement theory and the individual-environment interaction.