Linking Multidimensional Item Calibrations

Tim Davey · Takako C. Oshima

39 citations0/0 files storedApplied Psychological Measurement

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Psychometric Methodologies and Testing Psychological Testing and Assessment Educational Assessment and Pedagogy

Abstract

Invariance of trait scales across changing samples of items and examinees is a central tenet of item re sponse theory (IRT). However, scales defined by most IRT models are truly invariant with respect to certain linear transformations of the parameters. The problem is to find the proper transformation that places separate calibrations on a common scale. A variety of proce dures for estimating transformations have been pro posed for unidimensional models. This paper explores some issues involved in extending and adapting unidi mensional linking procedures for use with multidimen sional IRT models.

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References

2012Applications of Item Response Theory To Practical Testing Problems 1968Modern Factor Analysis 1968Modern Factor Analysis.1984Item Response Theory: Principles and Applications 1985Item Response Theory 1990Computerized Adaptive Testing: A Primer 1983Developing a Common Metric in Item Response Theory 1990BILOG 3 : item analysis and test scoring with binary logistic models

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2003A Comparison of Linear, Fixed Common Item, and Concurrent Parameter Estimation Equating Procedures in Capturing Academic Growth 2004A Note on How to Quantify and Report Whether Irt Parameter Invariance Holds: When Pearson Correlations are Not Enough 2009Multidimensional Linking for Tests with Mixed Item Types 2016Influence of Context on Item Parameters in Forced-Choice Personality Assessments 2000Multidimensional Linking: Four Practical Approaches

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