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Current Directions in Psychological Science, 2005
Steven P Reise, Mark G Haviland
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Steven P Reise, Mark G Haviland
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Annual Review of Statistics and Its Application, 2016
This review introduces classical item response theory (IRT) models as well as more contemporary extensions to the case of multilevel, multidimensional, and mixtures of discrete and continuous latent variables through the lens of discrete multivariate analysis.
Li Cai +3 more
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This review introduces classical item response theory (IRT) models as well as more contemporary extensions to the case of multilevel, multidimensional, and mixtures of discrete and continuous latent variables through the lens of discrete multivariate analysis.
Li Cai +3 more
openaire +2 more sources
2014
Abstract Since the 1960s, there has been a revolution in the approach to scale development. Called item response theory (IRT), this approach challenges the notion that scales must be long in order to be reliable, and that psychometric properties of a scale derived from one group of people cannot be applied to different groups.
David L. Streiner +2 more
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Abstract Since the 1960s, there has been a revolution in the approach to scale development. Called item response theory (IRT), this approach challenges the notion that scales must be long in order to be reliable, and that psychometric properties of a scale derived from one group of people cannot be applied to different groups.
David L. Streiner +2 more
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2011
Several user-contributed packages can fit IRT models. The packages we use the most is the ltm package by Dimitris Rizopoulos and the MCMCpack packages by Andrew Martin, Kevin Quinn, and Jong Hee Park. The eRm package by Patrick Mair, Reinhold Hatzinger, and Marco Maier also has powerful features. But our experience with eRm is limited at this time.
Yuelin Li, Jonathan Baron
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Several user-contributed packages can fit IRT models. The packages we use the most is the ltm package by Dimitris Rizopoulos and the MCMCpack packages by Andrew Martin, Kevin Quinn, and Jong Hee Park. The eRm package by Patrick Mair, Reinhold Hatzinger, and Marco Maier also has powerful features. But our experience with eRm is limited at this time.
Yuelin Li, Jonathan Baron
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Item bias and item response theory
International Journal of Educational Research, 1989Abstract In this chapter the definition, detection, and explanation of item bias is discussed. Item bias is generally defined as conditional dependence; within the framework of item response theory the general definition implies that the item characteristic curves of two groups do not coincide.
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2003
Abstract Classical test theory (CTT) has been the underpinning for most test construction and theory for nearly a century. One reason for its popularity is that the assumptions that CTT makes about the items and the test are relatively ‘weak’ ones (e.g.
David L. Streiner, Geoffrey R. Norman
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Abstract Classical test theory (CTT) has been the underpinning for most test construction and theory for nearly a century. One reason for its popularity is that the assumptions that CTT makes about the items and the test are relatively ‘weak’ ones (e.g.
David L. Streiner, Geoffrey R. Norman
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1991
During the past 30 years or so, a new theoretical basis for educational and psychological testing and measurement has emerged. It has been variously referred to as latent trait theory, item characteristic curve theory, and, more recently, item response theory (IRT).
David J. Weiss, Michael E. Yoes
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During the past 30 years or so, a new theoretical basis for educational and psychological testing and measurement has emerged. It has been variously referred to as latent trait theory, item characteristic curve theory, and, more recently, item response theory (IRT).
David J. Weiss, Michael E. Yoes
openaire +1 more source