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van der Sande, Lisa; Hendrickx, Marloes M. H. G.; Boor-Klip, Henrike J.; Mainhard, Tim – Journal of Learning Disabilities, 2018
Although many studies have found that children with learning disabilities (LD) are less liked by peers than children without LD, the results are not unequivocal. In the present study, we investigated the social status (in terms of likeability and popularity) of children with LD by considering peer academic reputation and peer reputation of teacher…
Descriptors: Learning Disabilities, Social Status, Reputation, Peer Relationship
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Pohl, Steffi; Gräfe, Linda; Rose, Norman – Educational and Psychological Measurement, 2014
Data from competence tests usually show a number of missing responses on test items due to both omitted and not-reached items. Different approaches for dealing with missing responses exist, and there are no clear guidelines on which of those to use. While classical approaches rely on an ignorable missing data mechanism, the most recently developed…
Descriptors: Test Items, Achievement Tests, Item Response Theory, Models
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Boyd, Donald; Lankford, Hamilton; Loeb, Susanna; Wyckoff, James – Journal of Educational and Behavioral Statistics, 2013
Test-based accountability as well as value-added asessments and much experimental and quasi-experimental research in education rely on achievement tests to measure student skills and knowledge. Yet, we know little regarding fundamental properties of these tests, an important example being the extent of measurement error and its implications for…
Descriptors: Accountability, Educational Research, Educational Testing, Error of Measurement
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Soares, Tufi M.; Goncalves, Flavio B.; Gamerman, Dani – Journal of Educational and Behavioral Statistics, 2009
In this article, an integrated Bayesian model for differential item functioning (DIF) analysis is proposed. The model is integrated in the sense of modeling the responses along with the DIF analysis. This approach allows DIF detection and explanation in a simultaneous setup. Previous empirical studies and/or subjective beliefs about the item…
Descriptors: Test Bias, Bayesian Statistics, Models, Item Response Theory