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Ability Identification2
Computer Simulation2
Item Response Theory2
Test Items2
Algorithms1
Difficulty Level1
Estimation (Mathematics)1
Item Bias1
Mathematical Models1
Maximum Likelihood Statistics1
Monte Carlo Methods1
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Applied Psychological…1
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Bashaw, Wilbur L.1
Lautenschlager, Gary J.1
Park, Dong-Gun1
Zeng, Lingjia1
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The Estimate of Difficulty and Dimensional Strengths of Test Items That Measure More Than One Ability.
Zeng, Lingjia; Bashaw, Wilbur L. – 1990
A joint maximum likelihood estimation algorithm, based on the partial compensatory multidimensional logistic model (PCML) proposed by L. Zeng (1989), is presented. The algorithm simultaneously estimates item difficulty parameters, the strength of each dimension, and individuals' abilities on each of the dimensions involved in arriving at a correct…
Descriptors: Ability Identification, Algorithms, Computer Simulation, Difficulty Level
Improving IRT Item Bias Detection with Iterative Linking and Ability Scale Purification.
Peer reviewed Peer reviewed
Park, Dong-Gun; Lautenschlager, Gary J. – Applied Psychological Measurement, 1990
The effectiveness of two iterative methods of item response theory (IRT) item bias detection was examined in a simulation study. A modified form of the iterative item parameter linking method of F. Drasgow and an adaptation of the test purification procedure of F. M. Lord were compared. (SLD)
Descriptors: Ability Identification, Computer Simulation, Item Bias, Item Response Theory