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Showing all 14 results Save | Export
Nguyen, Alyssa; Molloy, Kathy; White, Michelle; Nguyen, Vinh – RP Group, 2020
Meta-majors refer to the creation of broad program pathways or areas of interest, such as "Allied Health or Business." They are key components of the Guided Pathways efforts that provide students with a more structured and integrated academic experience. There are several different approaches (e.g., sorting exercises) colleges can use to…
Descriptors: Community Colleges, Majors (Students), Data Use, Identification
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Chiu, Chia-Yi; Köhn, Hans-Friedrich; Wu, Huey-Min – International Journal of Testing, 2016
The Reduced Reparameterized Unified Model (Reduced RUM) is a diagnostic classification model for educational assessment that has received considerable attention among psychometricians. However, the computational options for researchers and practitioners who wish to use the Reduced RUM in their work, but do not feel comfortable writing their own…
Descriptors: Educational Diagnosis, Classification, Models, Educational Assessment
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What Works Clearinghouse, 2014
This "What Works Clearinghouse Procedures and Standards Handbook (Version 3.0)" provides a detailed description of the standards and procedures of the What Works Clearinghouse (WWC). The remaining chapters of this Handbook are organized to take the reader through the basic steps that the WWC uses to develop a review protocol, identify…
Descriptors: Educational Research, Guides, Intervention, Classification
Castellano, Katherine E.; Ho, Andrew D. – Council of Chief State School Officers, 2013
This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…
Descriptors: Guides, Models, Academic Achievement, Achievement Gains
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research
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Reynolds, Thomas J.; Jackosfsky, Ellen F. – Educational and Psychological Measurement, 1981
The purpose of this paper is to outline the role of orthogonal rotation in canonical analysis, including the evaluative measures that need be reported and scrutinized upon application. (Author)
Descriptors: Attitude Measures, Multivariate Analysis, Orthogonal Rotation, Transformations (Mathematics)
Thompson, Bruce – 1982
Virtually all parametric statistical procedures have been shown to be special cases of canonical correlation analysis, which is a useful research methodology particularly when augmented by the calculation of canonical structure, index, and invariance coefficients. A logic for conducting stepwise canonical correlation analysis based upon evaluation…
Descriptors: Correlation, Multiple Regression Analysis, Multivariate Analysis, Predictor Variables
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Wainer, Howard – 1982
The past decade has seen a substantial growth in methods and schemes for the display of multivariate data. This paper encompasses a sketch of the history of multivariate displays, from the pre-Columbian Quipu to Chernoff's Face; examines a number of techniques; describes their construction; illustrates their use; and comments on their efficacy.…
Descriptors: Data Analysis, Display Aids, Graphs, Multivariate Analysis
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Liu, Richard – College Student Journal, 1982
Discusses the problem of dichotomous-dependent variables in regression analysis in student attrition studies. Proposes a new method as an alternative to regression analysis. (Author/RC)
Descriptors: Higher Education, Multivariate Analysis, Regression (Statistics), Research Methodology
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Boodoo, Gwyneth M. – Journal of Special Education, 1985
A multivariate model is proposed for assessing a severe discrepancy between intellectual ability and actual achievement in learning disabled (LD) children. Formulas for computing universe difference score variance, the standard error of the difference score, and its generalizability coefficient are given. (Author)
Descriptors: Academic Achievement, Aptitude, Disability Identification, Elementary Secondary Education
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Baggaley, Andrew R. – Evaluation Review, 1981
A diagram is used to aid discussion of how several of the frequently used multivariate statistical techniques are interrelated. All of those discussed can be regarded as special cases of canonical correlation. (Author)
Descriptors: Analysis of Variance, Behavioral Science Research, Discriminant Analysis, Measurement Techniques
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Sullins, Walter L. – Contemporary Education, 1983
This paper comments on the impact of computers on statistical analysis and presents a concise, nontechnical overview of five statistical methods now being applied in educational research. Appropriate uses of these techniques are pointed out, along with dangers concerning misapplications. (PP)
Descriptors: Comparative Analysis, Computer Programs, Discriminant Analysis, Educational Research
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Chambers, Jay G.; Parrish, Thomas B. – 1984
The Resource Cost Model (RCM) is a resource management system that combines the technical advantages of sophisticated computer simulation software with the practical benefits of group decision making to provide detailed information about educational program costs. The first section of this document introduces the conceptual framework underlying…
Descriptors: Budgeting, Computer Simulation, Computer Software, Cost Estimates
Coughlin, Mary Ann; Pagano, Marian – 1997
This monograph covers the theory, application, and interpretation of both descriptive and inferential statistical techniques in institutional research. Each chapter opens with a hypothetical case study, which is used to illustrate the application of one or more statistical procedures to typical research questions. Chapter 2 covers the comparison…
Descriptors: Analysis of Covariance, Analysis of Variance, Chi Square, Correlation