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Harris, Heather; Horst, S. Jeanne – Practical Assessment, Research & Evaluation, 2016
Propensity score matching techniques are becoming increasingly common as they afford applied practitioners the ability to account for systematic bias related to self-selection. However, "best practices" for implementing these techniques in applied settings is scattered throughout the literature. The current article aims to provide a…
Descriptors: Statistical Analysis, Statistical Bias, Computation, Statistical Inference
Powers, Sonya; Li, Dongmei; Suh, Hongwook; Harris, Deborah J. – ACT, Inc., 2016
ACT reporting categories and ACT Readiness Ranges are new features added to the ACT score reports starting in fall 2016. For each reporting category, the number correct score, the maximum points possible, the percent correct, and the ACT Readiness Range, along with an indicator of whether the reporting category score falls within the Readiness…
Descriptors: Scores, Classification, College Entrance Examinations, Error of Measurement
University of Chicago Consortium on Chicago School Research, 2014
Districts now have access to a wealth of new information that can help target students with appropriate supports and bring focus and coherence to college readiness efforts. However, the abundance of data has brought its own challenges. Schools and school systems are often overwhelmed with the amount of data available. The capacity of districts to…
Descriptors: College Readiness, Educational Indicators, College Preparation, School Districts
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Hedges, Larry V.; Rhoads, Christopher – National Center for Special Education Research, 2010
This paper provides a guide to calculating statistical power for the complex multilevel designs that are used in most field studies in education research. For multilevel evaluation studies in the field of education, it is important to account for the impact of clustering on the standard errors of estimates of treatment effects. Using ideas from…
Descriptors: Research Design, Field Studies, Computers, Effect Size
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
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Weston, Rebecca; Gore, Paul A., Jr. – Counseling Psychologist, 2006
To complement recent articles in this journal on structural equation modeling (SEM) practice and principles by Martens and by Quintana and Maxwell, respectively, the authors offer a consumer's guide to SEM. Using an example derived from theory and research on vocational psychology, the authors outline six steps in SEM: model specification,…
Descriptors: Structural Equation Models, Goodness of Fit, Guides, Statistical Analysis
Creighton, Theodore B. – Corwin Press, 2006
Since the first edition of "Schools and Data", the No Child Left Behind Act has swept the country, and data-based decision making is no longer an option for educators. Today's educational climate makes it imperative for all schools to collect data and use statistical analysis to help create clear goals and recognize strategies for…
Descriptors: Federal Legislation, Program Evaluation, Educational Technology, Decision Making
Westman, Craig – American Association of Collegiate Registrars and Admissions Officers (AACRAO), 2005
The sole purpose of this book is to provide a primer or "how-to" resource for new or seasoned enrollment managers. Its core chapters are practical applications of Strategic Enrollment Management (SEM) best practices. While incorporating some secondary source referencing, the dialogue primarily outlines how making some basic adjustments to business…
Descriptors: Enrollment Management, Enrollment Projections, Administrative Organization, Statistical Analysis
Wenzel, Stacy; Nagaoka, Jenny; Morris, Loretta; Billings, Sabrina; Fendt, Carol – Consortium on Chicago School Research, 2002
In March 1996, the Consortium on Chicago School Research (CCSR) proposed to evaluate the Chicago Annenberg Challenge's (CAC) newly funded reform efforts in the Chicago public schools. The evaluation aimed to understand how schools involved in CAC efforts developed as organizations and, in turn, how these developments benefited students. The study…
Descriptors: Public Schools, Research Projects, Standardized Tests, Academic Achievement
Dereshiwsky, Mary I. – 1992
Educational practitioners tend to resist or avoid doing educational research primarily for two reasons: their prior experience with statistics, computers, and research design has produced insecurity and anxiety; and, they have acquired a basic misunderstanding of the nature and purpose of research. Good research should be both technically sound…
Descriptors: Administrator Attitudes, Data Collection, Educational Research, Elementary Secondary Education
Mims, R. Sue, Ed. – 1987
This guide to the discovery, analysis, production, communication, and use of statistical information through graphic forms produced by a computer is designed to enable researchers to conduct their analyses and report research results more effectively. It is designed both for individuals with little knowledge about the use of statistical graphs or…
Descriptors: Computer Graphics, Computer Software, Design Requirements, Graphs
Senderowitz, Judith; Hebert, Brenda – 1977
This how-to kit for conducting a survey on the positions women hold in local occupational and decision-making structures is divided into six sections. Section I provides an explanation of the survey and its goals. Section II includes several survey questions and practical tips for finding the answers for each of eleven categories: Law, education,…
Descriptors: Bibliographies, Business, Community Involvement, Community Leaders
Pascale, Pietro J.; Pascale, Jeannie S. – 1976
Trend analysis is explained in nontechnical language with examples given for both parametric and nonparametric situations. Similarities and differences between parametric and nonparametric trend analyses are conveniently charted. Practical research applications for Directors of Testing and Directors of Institutional Research are stressed. A linear…
Descriptors: Higher Education, Research Design, Research Methodology, Statistical Analysis
Meridian Municipal Separate School District, MS. – 1976
A high-school-level field experience program in economic education in Meridian, Mississippi, is described. The program provided exposure to various careers as well as experience with economic processes. Each student spent several weeks in a variety of business, industrial, and manufacturing organizations. Students learned the background of each…
Descriptors: Career Awareness, Economics Education, Educational Programs, Field Experience Programs
Nesselroade, John R.; Baltes, Paul B. – 1977
This manual is intended to improve both the design of longitudinal studies and analysis of the resulting data. Issues related to educational and developmental research have been emphasized in these eight chapters. Topics of particular interest to longitudinal researchers include stochastic models of developmental change, mathematical…
Descriptors: Behavioral Science Research, Data Analysis, Educational Research, Human Development
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