Bruce Thompson

TL;DR: In this paper, the authors present the important concepts required for implementing two disciplines of factor analysis -exploratory factor analysis (EFA) and confirmatory Factor Analysis (CFA) with an emphasis on EFA/CFA linkages.

TL;DR: In this paper, a Monte Carlo simulation study was conducted to investigate the effects on structural equation modeling (SEM) fit indexes of sample size, estimation method, and model specification, and two primary conclusions were suggested: (a) some fit indexes appear to be noncomparable in terms of the information they provide about model fit for misspecified models and (b) estimation method strongly influenced almost all the fit indexes examined.

TL;DR: In this article, the authors explored expectations for reporting factor analysis results as part of construct validation in the context of emerging views of measurement validity, and proposed a short computer program for conducting parallel analysis.

TL;DR: In this paper, the authors set the context for the development of research quality indicators and guidelines for evidence of effective practices provided by different methodologies in the context of special education research.

TL;DR: In this paper, the authors review some definitions and issues related to developing confidence intervals for effect sizes and make recommendations for the thoughtful use of such CIs, which are especially valuable because they facilitate meta-analytic thinking and the interpretation of intervals via comparison with the effect intervals from related prior studies.