A program for obtaining ability estimates and their standard errors under a variety of psychometric models is documented. The general models considered are (a) classical test theory, (b) item factor analysis for continuous-unlimited and continuous-censored responses, and (c) unidimensional and multidimensional item response theory (IRT) graded response models, which include models for binary items as particular cases. The program can be used to complement the various programs that are available commercially and that enable item parameters to be estimated.
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References
1.
Bock, R. D. , & Mislevy, R. J. (1982). Adaptative EAP estimation of ability in microcomputer environment. Applied Psychological Measurement,6(4), 431-444.
2.
Fraser, C. (1988). NOHARM*H: A Fortran program for fitting unidimensional and multidimensional normal ojive models of latent trait theory. Armidale, Australia: University of New England.
3.
Mislevy, R. (1993). Some formulas for use with Bayesian ability estimates. Educational and Psychological Measurement, 53(2), 315-328.
4.
Muthen, B. O. (1988). LISCOMP: Analysis of linear structural equations with a comprehensive measurement model. Mooresville IN: Scientific Software.
5.
Muthen, B. O. (1989). Tobit factor analysis. British Journal of Mathematical and Statistical Psychology, 42, 241-250.
6.
Murali, E. , & Carlson, J. E. (1995). Full-information factor analysis for polytomous item responses. Applied Psychological Measurement, 19(1), 73-90.
7.
Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph Supplement, No. 17.
8.
Wilson, D. , Wood, R., & Gibbons, R. D. (1987). TESTFACI Test scoring, item statistics and item factor analysis. Mooresville IN: Scientific Software.
