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Peer reviewed
Direct linkHuang, Francis L. – Practical Assessment, Research & Evaluation, 2014
Clustered data (e.g., students within schools) are often analyzed in educational research where data are naturally nested. As a consequence, multilevel modeling (MLM) has commonly been used to study the contextual or group-level (e.g., school) effects on individual outcomes. The current study investigates the use of an alternative procedure to…
Descriptors: Hierarchical Linear Modeling, Regression (Statistics), Educational Research, Sampling
Parke, Carol S. – Practical Assessment, Research & Evaluation, 2012
This paper describes how districts can better use their extensive student databases and other existing data to explore questions of interest. School districts are required to maintain a wealth of student information in electronic data systems and other formats. The meaningfulness of the data depends to a large degree on whether they can understand…
Descriptors: Educational Indicators, Information Utilization, Guidelines, School Districts
Miller, Tess; Chahine, Saad; Childs, Ruth A. – Practical Assessment, Research & Evaluation, 2010
This study illustrates the use of differential item functioning (DIF) and differential step functioning (DSF) analyses to detect differences in item difficulty that are related to experiences of examinees, such as their teachers' instructional practices, that are relevant to the knowledge, skill, or ability the test is intended to measure. This…
Descriptors: Test Bias, Difficulty Level, Test Items, Mathematics Tests
