Analysis of Attribution Data: Theory Testing and Effects Estimation

Journal of Personality and Social Psychology, 1990, Vol. 59, No. 3, 426-441

16 Pages Posted: 21 Nov 2015 Last revised: 19 Feb 2016

See all articles by Dawn Iacobucci

Dawn Iacobucci

Vanderbilt University - Marketing; Vanderbilt University - Marketing

Ann L. McGill

University of Chicago - Booth School of Business

Date Written: 1990

Abstract

Statistical models arc presented for the analysis of attribution data (Kelley, 1967, 1973; McArthur, 1972) that are more appropriate than previously used methods and that enable researchers to address a broader range of theoretical issues. These new models allow researchers to determine the separate and joint influence of consensus, distinctiveness, and consistency information on attributions to the person, stimulus, and circumstance. The techniques are illustrated on several data sets (Hewstone & Jaspars,1987; Hilton & Jaspars,1987;Jaspars.1983; McArthur,1972), and an appendix is included describing how researchers can fit these models using a computing package such as SPSS-X (Norusis, 1985).

Suggested Citation

Iacobucci, Dawn and Iacobucci, Dawn and McGill, Ann L., Analysis of Attribution Data: Theory Testing and Effects Estimation (1990). Journal of Personality and Social Psychology, 1990, Vol. 59, No. 3, 426-441, Available at SSRN: https://ssrn.com/abstract=2693331

Dawn Iacobucci (Contact Author)

Vanderbilt University - Marketing ( email )

Nashville, TN 37203
United States

Vanderbilt University - Marketing ( email )

Nashville, TN 37203
United States

Ann L. McGill

University of Chicago - Booth School of Business ( email )

5807 S. Woodlawn Avenue
Chicago, IL 60637
United States

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