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Direct linkHarring, Jeffrey R.; Johnson, Tessa L. – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Dr. Jeffrey Harring and Ms. Tessa Johnson introduce the linear mixed effects (LME) model as a flexible general framework for simultaneously modeling continuous repeated measures data with a scientifically defensible function that adequately summarizes both individual change as well as the average response. The module…
Descriptors: Educational Assessment, Data Analysis, Longitudinal Studies, Case Studies
Murphy, Daniel L.; Gaertner, Matthew N. – Educational Measurement: Issues and Practice, 2014
This study evaluates four growth prediction models--projection, student growth percentile, trajectory, and transition table--commonly used to forecast (and give schools credit for) middle school students' future proficiency. Analyses focused on vertically scaled summative mathematics assessments, and two performance standards conditions (high…
Descriptors: Prediction, Models, Achievement Gains, Middle School Students
Gierl, Mark J. – Educational Measurement: Issues and Practice, 2005
In this paper I describe and illustrate the Roussos-Stout (1996) multidimensionality-based DIF analysis paradigm, with emphasis on its implication for the selection of a matching and studied subtest for DIF analyses. Standard DIF practice encourages an exploratory search for matching subtest items based on purely statistical criteria, such as a…
Descriptors: Models, Test Items, Test Bias, Statistical Analysis
