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Jacob, Robin; Zhu, Pei; Somers, Marie-Andrée; Bloom, Howard – MDRC, 2012
Regression discontinuity (RD) analysis is a rigorous nonexperimental approach that can be used to estimate program impacts in situations in which candidates are selected for treatment based on whether their value for a numeric rating exceeds a designated threshold or cut-point. Over the last two decades, the regression discontinuity approach has…
Descriptors: Regression (Statistics), Research Design, Graphs, Computation
West, Leonard J. – 1977
This bulletin for the researcher, the doctoral or master's candidate, or teacher interested in and/or conducting research is intended to (1) alert novice investigators to the major requirements and pitfalls of survey and experimental research, (2) point out the weaknesses of past business education studies, and (3) provide consumers of research…
Descriptors: Business Education, Experiments, Research, Research Criteria
Hopkins, Kenneth D. – 1973
The purpose of this training workbook is to provide the user with an understanding of Analysis of Covariance (ANCOVA) sufficient to allow him to identify situations in which it can increase the credibility and the statistical power of the analysis. The module provides a conceptual, nonmathematical overview of the purposes of ANCOVA. The…
Descriptors: Achievement Tests, Analysis of Covariance, Autoinstructional Aids, Educational Researchers
Hopkins, Kenneth D. – 1973
This self-contained and self-instructional unit is intended for use by evaluation and development personnel and by students in introductory research and evaluation courses. The unit contains a discussion of the regression employing graphic illustrations with actual data. The user is introduced to the regression effect in the single group…
Descriptors: Achievement Tests, Autoinstructional Aids, Educational Research, Guides
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Tague-Sutcliffe, Jean – Information Processing and Management, 1992
This overview of the research process for the novice information retrieval (IR) researcher provides guidance on selecting a research question, choosing the type of test, defining variables, developing or using databases, finding and processing queries, assigning treatments to experimental units, collecting and analyzing the data, and presenting…
Descriptors: Databases, Efficiency, Experiments, Information Retrieval