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Ozdemir, Burhanettin – International Journal of Progressive Education, 2017
The purpose of this study is to equate Trends in International Mathematics and Science Study (TIMSS) mathematics subtest scores obtained from TIMSS 2011 to scores obtained from TIMSS 2007 form with different nonlinear observed score equating methods under Non-Equivalent Anchor Test (NEAT) design where common items are used to link two or more test…
Descriptors: Achievement Tests, Elementary Secondary Education, Foreign Countries, International Assessment
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Sari, Halil Ibrahim; Huggins, Anne Corinne – Educational and Psychological Measurement, 2015
This study compares two methods of defining groups for the detection of differential item functioning (DIF): (a) pairwise comparisons and (b) composite group comparisons. We aim to emphasize and empirically support the notion that the choice of pairwise versus composite group definitions in DIF is a reflection of how one defines fairness in DIF…
Descriptors: Test Bias, Comparative Analysis, Statistical Analysis, College Entrance Examinations
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DeMars, Christine E.; Jurich, Daniel P. – Educational and Psychological Measurement, 2015
In educational testing, differential item functioning (DIF) statistics must be accurately estimated to ensure the appropriate items are flagged for inspection or removal. This study showed how using the Rasch model to estimate DIF may introduce considerable bias in the results when there are large group differences in ability (impact) and the data…
Descriptors: Test Bias, Guessing (Tests), Ability, Differences
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Huang, Becky H.; Flores, Belinda Bustos – Language Assessment Quarterly, 2018
This test review aims to provide a critical evaluation of the English Language Proficiency Assessment for the 21st Century (ELPA 21), a large-scale, standards-based English language proficiency testcurrently used in eight participating member states. The ELPA 21 assessment system was developed by a consortium to help English language learner (ELL)…
Descriptors: English, Language Proficiency, Language Tests, English Language Learners
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Tay, Louis; Huang, Qiming; Vermunt, Jeroen K. – Educational and Psychological Measurement, 2016
In large-scale testing, the use of multigroup approaches is limited for assessing differential item functioning (DIF) across multiple variables as DIF is examined for each variable separately. In contrast, the item response theory with covariate (IRT-C) procedure can be used to examine DIF across multiple variables (covariates) simultaneously. To…
Descriptors: Item Response Theory, Test Bias, Simulation, College Entrance Examinations
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Jin, Ying; Eason, Hershel – Journal of Educational Issues, 2016
The effects of mean ability difference (MAD) and short tests on the performance of various DIF methods have been studied extensively in previous simulation studies. Their effects, however, have not been studied under multilevel data structure. MAD was frequently observed in large-scale cross-country comparison studies where the primary sampling…
Descriptors: Test Bias, Simulation, Hierarchical Linear Modeling, Comparative Analysis
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Lundqvist, Lars-Olov; Lindner, Helen – Journal of Autism and Developmental Disorders, 2017
The Autism-Spectrum Quotient (AQ) is among the most widely used scales assessing autistic traits in the general population. However, some aspects of the AQ are questionable. To test its scale properties, the AQ was translated into Swedish, and data were collected from 349 adults, 130 with autism spectrum disorder (ASD) and 219 without ASD, and…
Descriptors: Autism, Pervasive Developmental Disorders, Adults, Comparative Analysis
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Wong, Vivian C.; Valentine, Jeffrey C.; Miller-Bains, Kate – Journal of Research on Educational Effectiveness, 2017
This article summarizes results from 12 empirical evaluations of observational methods in education contexts. We look at the performance of three common covariate-types in observational studies where the outcome is a standardized reading or math test. They are: pretest measures, local geographic matching, and rich covariate sets with a strong…
Descriptors: Observation, Educational Research, Standardized Tests, Reading Tests
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Domingue, Benjamin W.; Lang, David; Cuevas, Martha; Castellanos, Melisa; Lopera, Carolina; Mariño, Julián P.; Molina, Adriana; Shavelson, Richard J. – AERA Open, 2017
Technical schools are an integral part of the education system, and yet, little is known about student learning at such institutions. We consider whether assessments of student learning can be jointly administered to both university and technical school students. We examine whether differential test functioning may bias inferences regarding the…
Descriptors: Academic Achievement, Foreign Countries, Vocational Schools, Test Bias
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Li, Zhushan – Journal of Educational Measurement, 2014
Logistic regression is a popular method for detecting uniform and nonuniform differential item functioning (DIF) effects. Theoretical formulas for the power and sample size calculations are derived for likelihood ratio tests and Wald tests based on the asymptotic distribution of the maximum likelihood estimators for the logistic regression model.…
Descriptors: Test Bias, Sample Size, Statistical Analysis, Regression (Statistics)
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Solano-Flores, Guillermo – Applied Measurement in Education, 2014
This article addresses validity and fairness in the testing of English language learners (ELLs)--students in the United States who are developing English as a second language. It discusses limitations of current approaches to examining the linguistic features of items and their effect on the performance of ELL students. The article submits that…
Descriptors: English Language Learners, Test Items, Probability, Test Bias
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Kopf, Julia; Zeileis, Achim; Strobl, Carolin – Educational and Psychological Measurement, 2015
Differential item functioning (DIF) indicates the violation of the invariance assumption, for instance, in models based on item response theory (IRT). For item-wise DIF analysis using IRT, a common metric for the item parameters of the groups that are to be compared (e.g., for the reference and the focal group) is necessary. In the Rasch model,…
Descriptors: Test Items, Equated Scores, Test Bias, Item Response Theory
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Avenia-Tapper, Brianna; Llosa, Lorena – Educational Assessment, 2015
This article addresses the issue of language-related construct-irrelevant variance on content area tests from the perspective of systemic functional linguistics. We propose that the construct relevance of language used in content area assessments, and consequent claims of construct-irrelevant variance and bias, should be determined according to…
Descriptors: English Language Learners, Science Tests, Difficulty Level, Language Usage
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Akour, Mutasem; Sabah, Saed; Hammouri, Hind – Journal of Psychoeducational Assessment, 2015
The purpose of this study was to apply two types of Differential Item Functioning (DIF), net and global DIF, as well as the framework of Differential Step Functioning (DSF) to real testing data to investigate measurement invariance related to test language. Data from the Program for International Student Assessment (PISA)-2006 polytomously scored…
Descriptors: Test Bias, Science Tests, Test Items, Scoring
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Elder, Catherine – Language Testing, 2018
There is a strong international demand for official certification of French competence. A range of tests are available to meet this goal. Among the recognized tests available for this purpose is the "DELF" ("Diplôme d'études en langue française"). The "DELF" has been awarded the Association of Language Testers in…
Descriptors: French, Second Language Learning, Language Proficiency, Competence
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