A Consumer's Guide to LOGIST and BILOG

Robert J. Mislevy · Martha L. Stocking

113 citations0/0 files storedApplied Psychological Measurement

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

Abstract

Since its release in 1976, Wingersky, Barton, and Lord's (1982) LOGIST has been the most widely used computer program for estimating the parameters of the three-parameter logistic item response model. An al ternative program, Mislevy and Bock's (1983) BILOG, has recently become available. This paper compares the approaches taken by the two programs and offers some guidelines for choosing between the two pro grams for particular applications. Index terms: Bayesian estimation, BILOG, IRT estimation procedures, LOGIST, marginal maximum likelihood, maximum like lihood, three-parameter logistic model estimation pro cedures.

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References

1961Probabilistic Models for Some Intelligence and Attainment Tests 2012Applications of Item Response Theory To Practical Testing Problems 1981Marginal Maximum Likelihood Estimation of Item Parameters: Application of an EM Algorithm 1968Some latent trait models and their use in inferring an examinee's ability 1972Estimating Item Parameters and Latent Ability when Responses are Scored in Two or More Nominal Categories 1983Developing a Common Metric in Item Response Theory 1982Adaptive EAP Estimation of Ability in a Microcomputer Environment 1970Fitting a Response Model for n Dichotomously Scored Items

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2001Robustness of Item Parameter Estimation Programs to Assumptions of Unidimensionality and Normality 1989Unidimensional IRT Calibration of Compensatory and Noncompensatory Multidimensional Items 1992Recovery of Marginal Maximum Likelihood Estimates in the Two-Parameter Logistic Response Model: An Evaluation of MULTILOG 1995Detection of Differential Item Functioning in Multiple Groups 2012Model-Based Collaborative Filtering Analysis of Student Response Data: Machine-Learning Item Response Theory

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