This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Caruso, J. C. Search for Related Content PubMed PubMed Citation Articles by Caruso, J. C. Social Bookmarking                         What's this?

Increasing the Reliability of the Fluid/Crystallized Difference Score from the Kaufman Adolescent and Adult Intelligence Test with Reliable Component Analysis

University of Montana

The unreliability of difference scores is a well documented phenomenon in the social sciences and has led researchers and practitioners to interpret differences cautiously, if at all. In the case of the Kaufman Adult and Adolescent Intelligence Test (KAIT), the unreliability of the difference between the Fluid IQ and the Crystallized IQ is due to the high correlation between the two scales. The consequences of the lack of precision with which differences are identified are wide confidence intervals and unpowerful significance tests (i.e., large differences are required to be declared statistically significant). Reliable component analysis (RCA) was performed on the subtests of the KAIT in order to address these problems. RCA is a new data reduction technique that results in uncorrelated component scores with maximum proportions of reliable variance. Results indicate that the scores defined by RCA have discriminant and convergent validity (with respect to the equally weighted scores) and that differences between the scores, derived from a single testing session, were more reliable than differences derived from equal weighting for each age group (11-14 years, 15-34 years, 35-85+ years). This reliability advantage results in narrower confidence intervals around difference scores and smaller differences required for statistical significance.

Key Words: Reliable component analysis • RCA • difference scores • reliability • KAIT

Assessment, Vol. 8, No. 2, 155-166 (2001)
DOI: 10.1177/107319110100800204


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?

This article has been cited by other articles:

				S. Y. Kahana, E. A. Youngstrom, and J. J. Glutting Factor and Subtest Discrepancies on the Differential Ability Scales: Examining Prevalence and Validity in PredictingAcademic Achievement Assessment, March 1, 2002; 9(1): 82 - 93. [Abstract] [PDF]