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Monahan, Patrick O.; Lee, Won-Chan; Ankenmann, Robert D. – Journal of Educational Measurement, 2007
A Monte Carlo simulation technique for generating dichotomous item scores is presented that implements (a) a psychometric model with different explicit assumptions than traditional parametric item response theory (IRT) models, and (b) item characteristic curves without restrictive assumptions concerning mathematical form. The four-parameter beta…
Descriptors: True Scores, Psychometrics, Monte Carlo Methods, Correlation
Ang, Cheng; Miller, M. David – 1993
The power of the procedure of W. Stout to detect deviations from essential unidimensionality in two-dimensional data was investigated for minor, moderate, and large deviations from unidimensionality using criteria for deviations from unidimensionality based on prior research. Test lengths of 20 and 40 items and sample sizes of 700 and 1,500 were…
Descriptors: Ability, Comparative Testing, Correlation, Item Response Theory
Chang, Yu-Wen; Davison, Mark L. – 1992
Standard errors and bias of unidimensional and multidimensional ability estimates were compared in a factorial, simulation design with two item response theory (IRT) approaches, two levels of test correlation (0.42 and 0.63), two sample sizes (500 and 1,000), and a hierarchical test content structure. Bias and standard errors of subtest scores…
Descriptors: Comparative Testing, Computer Simulation, Correlation, Error of Measurement
Nandakumar, Ratna – 1992
The performance of the following four methodologies for assessing unidimensionality was examined: (1) DIMTEST; (2) the approach of P. W. Holland and P. R. Rosenbaum; (3) linear factor analysis; and (4) non-linear factor analysis. Each method is examined and compared with other methods using simulated data sets and real data sets. Seven data sets,…
Descriptors: Ability, Comparative Testing, Correlation, Equations (Mathematics)
DeMars, Christine E. – Online Submission, 2005
Several methods for estimating item response theory scores for multiple subtests were compared. These methods included two multidimensional item response theory models: a bi-factor model where each subtest was a composite score based on the primary trait measured by the set of tests and a secondary trait measured by the individual subtest, and a…
Descriptors: Item Response Theory, Multidimensional Scaling, Correlation, Scoring Rubrics
Chan, Jason C. – 1990
The importance of the presentation order of items on Likert-type scales was studied. It was proposed that subjects tend to choose the first alternative acceptable to them from among the response categories, so that a primacy effect can be predicted. The effects of reversing the order of the response scale on the latent factor structure underlying…
Descriptors: Comparative Testing, Correlation, Estimation (Mathematics), Factor Analysis