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Shermis, Mark D.; Mao, Liyang; Mulholland, Matthew; Kieftenbeld, Vincent – International Journal of Testing, 2017
This study uses the feature sets employed by two automated scoring engines to determine if a "linguistic profile" could be formulated that would help identify items that are likely to exhibit differential item functioning (DIF) based on linguistic features. Sixteen items were administered to 1200 students where demographic information…
Descriptors: Computer Assisted Testing, Scoring, Hypothesis Testing, Essays
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Prasad, Joshua J.; Showler, Morgan B.; Schmitt, Neal; Ryan, Ann Marie; Nye, Christopher D. – International Journal of Testing, 2017
The present research compares the operation of situational judgement and biodata measures between Chinese and U.S. respondents. We describe the development and past research on both measures, followed by hypothesized differences across the two groups of respondents. We base hypotheses on the nature of the Chinese and U.S. educational systems and…
Descriptors: Measures (Individuals), Hypothesis Testing, Cross Cultural Studies, Comparative Analysis
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Banks, Kathleen; Jeddeeni, Ahmad; Walker, Cindy M. – International Journal of Testing, 2016
Differential bundle functioning (DBF) analyses were conducted to determine whether seventh and eighth grade second language learners (SLLs) had lower probabilities of answering bundles of math word problems correctly that had heavy language demands, when compared to non-SLLs of equal math proficiency. Math word problems on each of four test forms…
Descriptors: Middle School Students, English Language Learners, Second Language Learning, Grade 7
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Wells, Craig S.; Cohen, Allan S.; Patton, Jeffrey – International Journal of Testing, 2009
A primary concern with testing differential item functioning (DIF) using a traditional point-null hypothesis is that a statistically significant result does not imply that the magnitude of DIF is of practical interest. Similarly, for a given sample size, a non-significant result does not allow the researcher to conclude the item is free of DIF. To…
Descriptors: Test Bias, Test Items, Statistical Analysis, Hypothesis Testing
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Kim, Se-Kang – International Journal of Testing, 2010
The aim of the current study is to validate the invariance of major profile patterns derived from multidimensional scaling (MDS) by bootstrapping. Profile Analysis via Multidimensional Scaling (PAMS) was employed to obtain profiles and bootstrapping was used to construct the sampling distributions of the profile coordinates and the empirical…
Descriptors: Intervals, Multidimensional Scaling, Profiles, Evaluation