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Brückner, Sebastian; Pellegrino, James W. – Journal of Educational Measurement, 2016
The Standards for Educational and Psychological Testing indicate that validation of assessments should include analyses of participants' response processes. However, such analyses typically are conducted only to supplement quantitative field studies with qualitative data, and seldom are such data connected to quantitative data on student or item…
Descriptors: Hierarchical Linear Modeling, Test Validity, Statistical Analysis, College Students
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Ling, Guangming; Bochenek, Jennifer; Burkander, Kri – Journal of Education for Business, 2015
By applying multilevel models with random effects, the authors reviewed and synthesized findings from 30 studies that were published in the last 20 years exploring the relationship between the Educational Testing Service Major Field Test for a Bachelor's Degree in Business (MFTB) and related factors. The results suggest that MFTB scores correlated…
Descriptors: Bachelors Degrees, Institutional Research, Educational Testing, Scores
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Steedle, Jeffrey T. – Assessment & Evaluation in Higher Education, 2012
Value-added scores from tests of college learning indicate how score gains compare to those expected from students of similar entering academic ability. Unfortunately, the choice of value-added model can impact results, and this makes it difficult to determine which results to trust. The research presented here demonstrates how value-added models…
Descriptors: College Outcomes Assessment, Postsecondary Education, Achievement Tests, Models
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Huang, Hung-Yu; Wang, Wen-Chung – Educational and Psychological Measurement, 2014
In the social sciences, latent traits often have a hierarchical structure, and data can be sampled from multiple levels. Both hierarchical latent traits and multilevel data can occur simultaneously. In this study, we developed a general class of item response theory models to accommodate both hierarchical latent traits and multilevel data. The…
Descriptors: Item Response Theory, Hierarchical Linear Modeling, Computation, Test Reliability
Patterson, Brian F. – College Board, 2008
Presented at the quarterly meeting of the New York Area SAS Users-Group in December 2008. In virtually any research context, there is likely to be opportunity to apply mixed-models--of which repeated-measures, multilevel, hierarchical and random- and fixed-effect models are specific types-- that improve upon their traditional linear or generalized…
Descriptors: Hierarchical Linear Modeling, Statistics, Computer Software, College Entrance Examinations
Patterson, Brian F.; Packman, Sheryl; Kobrin, Jennifer L. – College Board, 2011
The purpose of this study was to examine the effects of Advanced Placement (AP) exam participation and performance on college grades for courses taken in the same subject area as students' AP Exam(s). Students' first-year college subject area grade point averages (SGPAs) were examined in nine subject areas: mathematics, computer science,…
Descriptors: Advanced Placement, College Freshmen, Grades (Scholastic), Achievement Tests