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Three Approaches to Determining the Dimensionality of Binary Items.
Peer reviewed Peer reviewed
Roznowski, Mary; And Others – Applied Psychological Measurement, 1991
Three heuristic methods of assessing the dimensionality of binary item pools were evaluated in a Monte Carlo investigation. The indices were based on (1) the local independence of unidimensional tests; (2) patterns of second-factor loadings derived from simplex theory; and (3) the shape of the curve of successive eigenvalues. (SLD)
Descriptors: Comparative Analysis, Computer Simulation, Correlation, Evaluation Methods
Evaluation of the Efficiency of Item Calibration.
Peer reviewed Peer reviewed
Vale, C. David; Gialluca, Kathleen A. – Applied Psychological Measurement, 1988
To determine which produced the most accurate item parameter estimates, four methods of item response theory were evaluated: (1) heuristic estimates; (2) the ANCILLES program; (3) the LOGIST program; and (4) the ASCAL program. LOGIST and ASCAL produced estimates of superior and essentially equivalent accuracy. (SLD)
Descriptors: Comparative Analysis, Computer Assisted Testing, Computer Software, Estimation (Mathematics)
On the Efficiency of IRT Models When Applied to Different Sampling Designs.
Peer reviewed Peer reviewed
Berger, Martjin P. F. – Applied Psychological Measurement, 1991
A generalized variance criterion is proposed to measure efficiency in item-response-theory (IRT) models. Heuristic arguments are given to formulate the efficiency of a design in terms of an asymptotic generalized variance criterion. Efficiencies of designs for one-, two-, and three-parameter models are compared. (SLD)
Descriptors: Comparative Analysis, Efficiency, Equations (Mathematics), Error of Measurement