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Conditioning: How Background Variables Can Influence PISA Scores
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Zieger, Laura Raffaella; Jerrim, J.; Anders, J.; Shure, N. – Assessment in Education: Principles, Policy & Practice, 2022
The OECD's Programme for International Student Assessment (PISA) has become one of the key studies for evidence-based education policymaking across the globe. PISA has however received a lot of methodological criticism, including how the test scores are created. The aim of this paper is to investigate the so-called 'conditioning model', where…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
Polytomous Rasch Models in Counseling Assessment
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Willse, John T. – Measurement and Evaluation in Counseling and Development, 2017
This article provides a brief introduction to the Rasch model. Motivation for using Rasch analyses is provided. Important Rasch model concepts and key aspects of result interpretation are introduced, with major points reinforced using a simulation demonstration. Concrete guidelines are provided regarding sample size and the evaluation of items.
Descriptors: Item Response Theory, Test Results, Test Interpretation, Simulation
Meta-Analysis inside and outside Particle Physics: Two Traditions That Should Converge?
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Baker, Rose D.; Jackson, Dan – Research Synthesis Methods, 2013
The use of meta-analysis in medicine and epidemiology really took off in the 1970s. However, in high-energy physics, the Particle Data Group has been carrying out meta-analyses of measurements of particle masses and other properties since 1957. Curiously, there has been virtually no interaction between those working inside and outside particle…
Descriptors: Meta Analysis, Physics, Error of Measurement, Statistical Analysis
Using the Graded Response Model to Control Spurious Interactions in Moderated Multiple Regression
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Morse, Brendan J.; Johanson, George A.; Griffeth, Rodger W. – Applied Psychological Measurement, 2012
Recent simulation research has demonstrated that using simple raw score to operationalize a latent construct can result in inflated Type I error rates for the interaction term of a moderated statistical model when the interaction (or lack thereof) is proposed at the latent variable level. Rescaling the scores using an appropriate item response…
Descriptors: Item Response Theory, Multiple Regression Analysis, Error of Measurement, Models
The Value of Item Response Theory in Clinical Assessment: A Review
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Thomas, Michael L. – Assessment, 2011
Item response theory (IRT) and related latent variable models represent modern psychometric theory, the successor to classical test theory in psychological assessment. Although IRT has become prevalent in the measurement of ability and achievement, its contributions to clinical domains have been less extensive. Applications of IRT to clinical…
Descriptors: Item Response Theory, Psychological Evaluation, Reliability, Error of Measurement
A Scaling Model with Response Errors and Intrinsically Unscalable Repondents.
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Dayton, C. Mitchell; Macready, George B. – Psychometrika, 1980
Goodman contributed to the theory of scaling by including a category of intrinsically unscalable respondents in addition to the usual scale-type respondents. However, his formulation permits only error-free responses by respondents from the scale types. This paper presents new scaling models which have additional desirable properties. (Author/JKS)
Descriptors: Error of Measurement, Measurement Techniques, Models, Scaling