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Froelich, Amy G.; Habing, Brian – Applied Psychological Measurement, 2008
DIMTEST is a nonparametric hypothesis-testing procedure designed to test the assumptions of a unidimensional and locally independent item response theory model. Several previous Monte Carlo studies have found that using linear factor analysis to select the assessment subtest for DIMTEST results in a moderate to severe loss of power when the exam…
Descriptors: Test Items, Monte Carlo Methods, Form Classes (Languages), Program Effectiveness
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Finch, Holmes; Habing, Brian – Journal of Educational Measurement, 2005
This study examines the performance of a new method for assessing and characterizing dimensionality in test data using the NOHARM model, and comparing it with DETECT. Dimensionality assessment is carried out using two goodness-of-fit statistics that are compared to reference X[2] distributions. A Monte Carlo study is used with item parameters…
Descriptors: Program Effectiveness, Monte Carlo Methods, Item Response Theory, Comparative Analysis