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Quesen, Sarah; Lane, Suzanne – Applied Measurement in Education, 2019
This study examined the effect of similar vs. dissimilar proficiency distributions on uniform DIF detection on a statewide eighth grade mathematics assessment. Results from the similar- and dissimilar-ability reference groups with an SWD focal group were compared for four models: logistic regression, hierarchical generalized linear model (HGLM),…
Descriptors: Test Items, Mathematics Tests, Grade 8, Item Response Theory
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Lee, HyeSun – Applied Measurement in Education, 2018
The current simulation study examined the effects of Item Parameter Drift (IPD) occurring in a short scale on parameter estimates in multilevel models where scores from a scale were employed as a time-varying predictor to account for outcome scores. Five factors, including three decisions about IPD, were considered for simulation conditions. It…
Descriptors: Test Items, Hierarchical Linear Modeling, Predictor Variables, Scores
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Oliveri, Maria; McCaffrey, Daniel; Ezzo, Chelsea; Holtzman, Steven – Applied Measurement in Education, 2017
The assessment of noncognitive traits is challenging due to possible response biases, "subjectivity" and "faking." Standardized third-party evaluations where an external evaluator rates an applicant on their strengths and weaknesses on various noncognitive traits are a promising alternative. However, accurate score-based…
Descriptors: Factor Analysis, Decision Making, College Admission, Likert Scales
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Allen, Jeff – Applied Measurement in Education, 2017
Using a sample of schools testing annually in grades 9-11 with a vertically linked series of assessments, a latent growth curve model is used to model test scores with student intercepts and slopes nested within school. Missed assessments can occur because of student mobility, student dropout, absenteeism, and other reasons. Missing data…
Descriptors: Achievement Gains, Academic Achievement, Growth Models, Scores