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Peer reviewedCandell, Gregory L.; Drasgow, Fritz – Applied Psychological Measurement, 1988
An iterative procedure designed to minimize item bias affecting metrics in item response theory (IRT) was examined in a Monte Carlo investigation using the two-parameter IRT model. Two methods for transforming parameter estimates to a common metric were incorporated into the procedure. Results indicate that the procedure is effective. (TJH)
Descriptors: Difficulty Level, Estimation (Mathematics), Latent Trait Theory, Monte Carlo Methods
Peer reviewedCohen, Jon; Snow, Stephanie – Journal of Educational Measurement, 2002
Studied the impact of changes in item difficulty on National Assessment of Educational Progress (NAEP) estimates over time through a Monte Carlo study that simulated the responses of 1990 NAEP mathematics respondents to 1990 and 1996 NAEP mathematics items. Results support the idea that these changes have not affected the NAEP trend line.…
Descriptors: Change, Difficulty Level, Estimation (Mathematics), Mathematics Tests
Download full textReinhardt, Brian M. – 1991
Factors affecting a lower-bound estimate of internal consistency reliability, Cronbach's coefficient alpha, are explored. Theoretically, coefficient alpha is an estimate of the correlation between two tests drawn at random from a pool of items like the items in the test under consideration. As a practical matter, coefficient alpha can be an index…
Descriptors: Computer Simulation, Correlation, Difficulty Level, Estimation (Mathematics)
Peer reviewedJansen, Margo G. H. – Journal of Educational Statistics, 1986
In this paper a Bayesian procedure is developed for the simultaneous estimation of the reading ability and difficulty parameters which are assumed to be factors in reading errors by the multiplicative Poisson Model. According to several criteria, the Bayesian estimates are better than comparable maximum likelihood estimates. (Author/JAZ)
Descriptors: Achievement Tests, Bayesian Statistics, Comparative Analysis, Difficulty Level
Kromrey, Jeffrey D.; Bacon, Tina P. – 1992
A Monte Carlo study was conducted to estimate the small sample standard errors and statistical bias of psychometric statistics commonly used in the analysis of achievement tests. The statistics examined in this research were: (1) the index of item difficulty; (2) the index of item discrimination; (3) the corrected item-total point-biserial…
Descriptors: Achievement Tests, Comparative Analysis, Difficulty Level, Estimation (Mathematics)
Kirisci, Levent; Hsu, Tse-Chi – 1992
A predictive adaptive testing (PAT) strategy was developed based on statistical predictive analysis, and its feasibility was studied by comparing PAT performance to those of the Flexilevel, Bayesian modal, and expected a posteriori (EAP) strategies in a simulated environment. The proposed adaptive test is based on the idea of using item difficulty…
Descriptors: Adaptive Testing, Bayesian Statistics, Comparative Analysis, Computer Assisted Testing
