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Download full textShanmugam, S. Kanageswari Suppiah – Malaysian Journal of Learning and Instruction, 2018
Purpose:In an attempt to explore item characteristics that behave differently between boys and girls, this comparative study examines gender Differential Item Functioning in a school culture that is noted to be 'thriving' mathematically. Methodology: Some 24 grade eight mathematics items from TIMSS 2003 and TIMSS 2007 released items, with equal…
Descriptors: Gender Differences, Test Bias, Coeducation, Foreign Countries
Direct linkGoldhaber, Dan; Chaplin, Duncan Dunbar – Journal of Research on Educational Effectiveness, 2015
In an influential paper, Jesse Rothstein (2010) shows that standard value-added models (VAMs) suggest implausible and large future teacher effects on past student achievement. This is the basis of a falsification test that "appears" to indicate bias in typical VAM estimates of teacher contributions to student learning on standardized…
Descriptors: Teacher Evaluation, Teacher Effectiveness, Teacher Influence, Models
Hickendorff, Marian – Applied Measurement in Education, 2013
The results of an exploratory study into measurement of elementary mathematics ability are presented. The focus is on the abilities involved in solving standard computation problems on the one hand and problems presented in a realistic context on the other. The objectives were to assess to what extent these abilities are shared or distinct, and…
Descriptors: Elementary School Mathematics, Mathematics Tests, Mathematics Skills, Problem Solving
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
Kahraman, Nilufer; De Boeck, Paul; Janssen, Rianne – International Journal of Testing, 2009
This study introduces an approach for modeling multidimensional response data with construct-relevant group and domain factors. The item level parameter estimation process is extended to incorporate the refined effects of test dimension and group factors. Differences in item performances over groups are evaluated, distinguishing two levels of…
Descriptors: Test Bias, Test Items, Groups, Interaction
Braun, Henry; Zhang, Jinming; Vezzu, Sailesh – ETS Research Report Series, 2008
At present, although the percentages of students with disabilities (SDs) and/or students who are English language learners (ELL) excluded from a NAEP administration are reported, no statistical adjustment is made for these excluded students in the calculation of NAEP results. However, the exclusion rates for both SD and ELL students vary…
Descriptors: Research Methodology, Computation, Disabilities, English Language Learners
Stormark, Kjell Morten; Heiervang, Einar; Heimann, Mikael; Lundervold, Astri; Gillberg, Christopher – Journal of Abnormal Child Psychology, 2008
The impact of nonresponse on estimates of mental health problems was examined in a prospective teacher screen in a community survey of 9,155 7-9 year olds. For 6,611 of the children, parents consented to participation in the actual study (Responders), while for 2,544 children parental consent was not obtained (Nonresponders). The teacher screen…
Descriptors: Response Style (Tests), Teacher Attitudes, Mental Health, Effect Size
Burke, Mary A.; Sass, Tim R. – Federal Reserve Bank of Boston, 2008
In this paper we analyze the impact of classroom peers on individual student performance with a unique longitudinal data set covering all Florida public school students in grades 3-10 over a five-year period. Unlike many previous data sets used to study peer effects in education, our data set allow us to identify each member of a given student's…
Descriptors: Teacher Effectiveness, Student Evaluation, Academic Achievement, Peer Groups
