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Peugh, James L. – Journal of Early Adolescence, 2014
Applied early adolescent researchers often sample students (Level 1) from within classrooms (Level 2) that are nested within schools (Level 3), resulting in data that requires multilevel modeling analysis to avoid Type 1 errors. Although several articles have been published to assist researchers with analyzing sample data nested at two levels, few…
Descriptors: Early Adolescents, Research, Hierarchical Linear Modeling, Data Analysis
Anderson, Daniel – Behavioral Research and Teaching, 2012
This manuscript provides an overview of hierarchical linear modeling (HLM), as part of a series of papers covering topics relevant to consumers of educational research. HLM is tremendously flexible, allowing researchers to specify relations across multiple "levels" of the educational system (e.g., students, classrooms, schools, etc.).…
Descriptors: Hierarchical Linear Modeling, Educational Research, Case Studies, Longitudinal Studies
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Beretvas, S. Natasha; Cawthon, Stephanie W.; Lockhart, L. Leland; Kaye, Alyssa D. – Educational and Psychological Measurement, 2012
This pedagogical article is intended to explain the similarities and differences between the parameterizations of two multilevel measurement model (MMM) frameworks. The conventional two-level MMM that includes item indicators and models item scores (Level 1) clustered within examinees (Level 2) and the two-level cross-classified MMM (in which item…
Descriptors: Test Bias, Comparative Analysis, Test Items, Difficulty Level
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Markowitz, Ellen – Afterschool Matters, 2012
Self-esteem has been problematic for researchers because it is complex, stable, and hard to measure. When assessing the self-esteem of out-of-school time (OST) program participants, some researchers may think their instruments will not detect changes, either because the program does not last long enough to make a difference or because self-esteem…
Descriptors: Females, After School Programs, Researchers, Athletics
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Hedges, Larry V.; Hedberg, E. C.; Kuyper, Arend M. – Educational and Psychological Measurement, 2012
Intraclass correlations are used to summarize the variance decomposition in populations with multilevel hierarchical structure. There has recently been considerable interest in estimating intraclass correlations from surveys or designed experiments to provide design parameters for planning future large-scale randomized experiments. The large…
Descriptors: Correlation, Computation, Hierarchical Linear Modeling, Reading Achievement
Ehrlich, Stacy B.; Sporte, Susan E.; Sebring, Penny Bender – Consortium on Chicago School Research, 2013
Technology use is ubiquitous in America's colleges and most workplaces, and it is fast becoming accepted as fact that all students--elementary and high school--must be exposed to technology. Whether schools are doing this is an open question. A 2002 report by the University of Chicago Consortium on Chicago School Research (CCSR) revealed large…
Descriptors: Educational Technology, Public Schools, Principals, School Culture
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