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Cooper, Harris, Ed.; Hedges, Larry V., Ed.; Valentine, Jeffrey C., Ed. – Russell Sage Foundation, 2019
Research synthesis is the practice of systematically distilling and integrating data from many studies in order to draw more reliable conclusions about a given research issue. When the first edition of "The Handbook of Research Synthesis and Meta-Analysis" was published in 1994, it quickly became the definitive reference for conducting…
Descriptors: Research Methodology, Synthesis, Meta Analysis, Data Analysis
Hanita, Makoto; Bailey, Jessica; Khanani, Noman; Zhang, Xinxin – Regional Educational Laboratory Northeast & Islands, 2021
This applied research methods report is a guide for state and local education agency policymakers and their analysts who are interested in studying teacher mobility and retention. This report is the second in a two-part set and builds on the foundational information in report 1. This report presents guidance on how to interpret differences in…
Descriptors: Faculty Mobility, Teacher Persistence, Educational Research, Research Methodology
Hughes, John; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2016
The high rate of students taking developmental education courses suggests that many students graduate from high school unready to meet college expectations. A college readiness screener can help colleges and school districts better identify students who are not ready for college credit courses. The primary audience for this guide is leaders and…
Descriptors: College Readiness, Screening Tests, Test Construction, Predictor Variables
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
Bickel, Robert – Guilford Publications, 2007
This book provides a uniquely accessible introduction to multilevel modeling, a powerful tool for analyzing relationships between an individual level dependent variable, such as student reading achievement, and individual-level and contextual explanatory factors, such as gender and neighborhood quality. Helping readers build on the statistical…
Descriptors: Regression (Statistics), Social Sciences, Statistical Analysis, Structural Equation Models

Schafer, William D. – Measurement and Evaluation in Counseling and Development, 1991
Presents first of two-part editorial (second part to appear in next journal issue) proposing guidelines for developing useful tables to report multiple regression outcomes. Pays particular attention to situations where a hierarchical multiple regression analysis is guided by theory. Concludes that some conventional way to report multiple…
Descriptors: Multiple Regression Analysis, Regression (Statistics), Research Problems, Tables (Data)

Logan, S. R. – Journal of Chemical Education, 1995
Discusses the use of the least-squares regression line in determining the optimum straight line in an efficient and objective manner and the validity of its underlying assumptions in certain situations. Discusses the treatment of kinetic data, distortion from large errors, and the Guggenheim method. (JRH)
Descriptors: Chemistry, Data Analysis, Error of Measurement, Higher Education

Walsh, Anthony – Teaching Sociology, 1987
States that the teaching of logit regression analysis is much neglected in statistics courses within sociology. Claims that logit regression allows the researcher to evaluate the impact of a set of predictor variables on a dichotomous dependent variable without the problems associated with discriminant analysis, weighted least squares regression,…
Descriptors: College Instruction, Higher Education, Learning Strategies, Regression (Statistics)

Lorenz, Frederick O. – Teaching Sociology, 1987
Shows how an introductory social science statistics course can improve the treatment of regression assumptions, the problem of outliers, and the important idea that some outliers have greater influence than others through the use of Anscombe's now classic 1973 example and Cook's (1977; 1979) extension of the idea of influence. (JDH)
Descriptors: College Instruction, Higher Education, Learning Strategies, Regression (Statistics)

Tallmadge, G. Kasten; Wood, Christine T. – 1976
This guidebook concentrates primarily on describing the impact-assessment component of the Elementary and Secondary Education Act (ESEA) Title I evaluation and reporting system for users of the system. Three general evaluation models are presented, along with implementation information for each. The first model, a norm-referenced design, may be…
Descriptors: Academic Achievement, Achievement Gains, Compensatory Education, Control Groups