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A Review of Applications of Aic in Psychometrics

In: Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach

Author

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  • Y. Takane

    (McGill University, Department of Psychology)

Abstract

Many theories in psychology are still in early stages of development. It is rare to find a single definitive and uncontested theory developed for a single phenomenon. It is more usual that many competing models are formulated for a single phenomenon giving rise to the necessity of extensive model comparison. Introduction of a conceptually simple and easy-to-use criterion for model comparison, like AIC (Akaike, 1973), is thus considered a blessing in often complicated psychological research. Psychometrics is one of the earlier areas which introduced this statistic. In 1987, Psychometrika, a leading journal in psychometrics, published a special issue featuring four papers (Akaike, 1987; Selove, 1987; Bozdogan, 1987; Takane, Bozdogan, & Shibayama, 1987) presented in a symposium on AIC held at the previous year’s annual meeting of the Psychometric Society. This was brought about with the recognition of importance of AIC in psychometric research. The present paper reviews applications of AIC in psychological research, and highlights some of the difficulties in modelling psychological phenomena.

Suggested Citation

  • Y. Takane, 1994. "A Review of Applications of Aic in Psychometrics," Springer Books, in: Hamparsum Bozdogan & Stanley L. Sclove & Arjun K. Gupta & D. Haughton & G. Kitagawa & T. Ozaki & K. (ed.), Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach, chapter 14, pages 379-403, Springer.
    • Handle: RePEc:spr:sprchp:978-94-011-0800-3_15
    DOI: 10.1007/978-94-011-0800-3_15
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