Argues that educational researchers analyzing multilevel data must identify appropriate sets of research questions at and within various levels of analysis and must specify appropriate models for analyzing the data. Covers problems, terminology, and measurement and statistical issues associated with multilevel research. (PGD)

Three topics within the domain of regression-based analyses of multilevel data from quasi-experiments and field studies in educational research and evaluation are presented. The paper begins with a discussion of the general question of choice of unit of analysis, or what may be the more appropriate question of choice of analytical model. It then…

The activities of the Multilevel Analysis Project of the Center for the Study of Evaluation from February 1 to June 1, 1978 are summarized. Twelve project staff activities are listed, including papers on alternative analytical models for identifying educational effects, conference presentations, and grant proposals. A report on empirical…

Since problems associated with the statistical methodology of educational research are becoming increasingly important, this paper examines a subset of problems associated with the analysis and interpretation of aggregated data. Two major questions arise: (1) if a researcher knows the level (e.g., individual, teacher/classroom, school, school…

Multiple sources of complications in the analysis of multilevel educational data are described with emphasis on the determination of a method of analysis that will provide accurate estimates of teacher/class effects even when there are systematic differences in within-class regressions of outcome on input associated with teacher/class…

The author contends that the secondary analyst may have a different perspective and theoretical persuasion than the original investigator, may have the advantage of more current theory and practices than those originally available, may move beyond the substantive and methodological limitations of the original investigation, and may not be faced by…