Monte Carlo Studies in Item Response Theory

Michael R. Harwell · Clement A. Stone · Tse-Chi Hsu · Levent Kirisci

220 citations0/0 files storedApplied Psychological Measurement

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Psychometric Methodologies and Testing Educational Assessment and Pedagogy Statistical Methods and Bayesian Inference

Abstract

Monte carlo studies are being used in item response theory (IRT) to provide information about how validly these methods can be applied to realistic datasets (e.g., small numbers of examinees and multidimensional data). This paper describes the conditions under which monte carlo studies are appropriate in IRT-based re search, the kinds of problems these techniques have been applied to, available computer programs for gen erating item responses and estimating item and exam inee parameters, and the importance of conceptualizing these studies as statistical sampling experiments that should be subject to the same principles of experimen tal design and data analysis that pertain to empirical studies. The number of replications that should be used in these studies is also addressed.

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References

1989The Practice of Social Research 1969Statistical Theories of Mental Test Scores 2016Simulation and the Monte Carlo Method 1981Simulation and the Monte Carlo Method 1987Stochastic Simulation 1990Detecting Differential Item Functioning Using Logistic Regression Procedures 1993Item Response Theory: Parameter Estimation Techniques.1967Computer Simulation Techniques.

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