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Trendtel, Matthias; Robitzsch, Alexander – Journal of Educational and Behavioral Statistics, 2021
A multidimensional Bayesian item response model is proposed for modeling item position effects. The first dimension corresponds to the ability that is to be measured; the second dimension represents a factor that allows for individual differences in item position effects called persistence. This model allows for nonlinear item position effects on…
Descriptors: Bayesian Statistics, Item Response Theory, Test Items, Test Format
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List, Marit K.; Robitzsch, Alexander; Lüdtke, Oliver; Köller, Olaf; Nagy, Gabriel – Large-scale Assessments in Education, 2017
Background: In low-stakes educational assessments, test takers might show a performance decline (PD) on end-of-test items. PD is a concern in educational assessments, especially when groups of students are to be compared on the proficiency variable because item responses gathered in the groups could be differently affected by PD. In order to…
Descriptors: Evaluation Methods, Student Evaluation, Item Response Theory, Mathematics Tests
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George, Ann Cathrice; Robitzsch, Alexander – Applied Measurement in Education, 2018
This article presents a new perspective on measuring gender differences in the large-scale assessment study Trends in International Science Study (TIMSS). The suggested empirical model is directly based on the theoretical competence model of the domain mathematics and thus includes the interaction between content and cognitive sub-competencies.…
Descriptors: Achievement Tests, Elementary Secondary Education, Mathematics Achievement, Mathematics Tests
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Ludtke, Oliver; Robitzsch, Alexander; Kenny, David A.; Trautwein, Ulrich – Psychological Methods, 2013
The social relations model (SRM) is a conceptual, methodological, and analytical approach that is widely used to examine dyadic behaviors and interpersonal perception within groups. This article introduces a general and flexible approach to estimating the parameters of the SRM that is based on Bayesian methods using Markov chain Monte Carlo…
Descriptors: Statistical Analysis, Computation, Interpersonal Relationship, Models
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Ludtke, Oliver; Marsh, Herbert W.; Robitzsch, Alexander; Trautwein, Ulrich – Psychological Methods, 2011
In multilevel modeling, group-level variables (L2) for assessing contextual effects are frequently generated by aggregating variables from a lower level (L1). A major problem of contextual analyses in the social sciences is that there is no error-free measurement of constructs. In the present article, 2 types of error occurring in multilevel data…
Descriptors: Simulation, Educational Psychology, Social Sciences, Measurement
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Wilhelm, Oliver; Robitzsch, Alexander – Measurement: Interdisciplinary Research and Perspectives, 2009
The paper by Rupp and Templin (2008) is an excellent work on the characteristics and features of cognitive diagnostic models (CDM). In this article, the authors comment on some substantial and methodological aspects of this focus paper. They organize their comments by going through issues associated with the terms "cognitive,"…
Descriptors: Research Methodology, Test Items, Models, Diagnostic Tests