ERIC Number: EJ1018952
Record Type: Journal
Publication Date: 2013-Sep
Reference Count: 3
FACTOR 9.2: A Comprehensive Program for Fitting Exploratory and Semiconfirmatory Factor Analysis and IRT Models
Lorenzo-Seva, Urbano; Ferrando, Pere J.
Applied Psychological Measurement, v37 n6 p497-498 Sep 2013
FACTOR 9.2 was developed for three reasons. First, exploratory factor analysis (FA) is still an active field of research although most recent developments have not been incorporated into available programs. Second, there is now renewed interest in semiconfirmatory (SC) solutions as suitable approaches to the complex structures are commonly found in item analysis (e.g., McDonald, 2000). Finally, some popular item response theory (IRT) models can be fitted as FA models by using an underlying-variables approach. A program incorporating developments along these lines was thought to be highly useful for practitioners. FACTOR 9.2 provides comprehensive modeling capacities, procedures, indices, and statistics. It can fit unidimensional and multidimensional versions of the standard linear FA model and of the two-parameter and graded-response normal-ogive IRT models. In this latter case, it provides both the factor-analytical parameterization (thresholds and loadings) and the IRT parameterization (difficulties and discriminations). For all the models, the multidimensional versions can be exploratory or SC. In the exploratory versions, 30 rotation procedures are available. In the SC versions, orthogonal and oblique rotations against a semispecified target can be performed (Browne, 1972). This second approach leads to independent-cluster-basis and bifactor solutions (among others) to be obtained.
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