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Showing 1 to 15 of 18 results Save | Export
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Dahlia K. Remler; Gregg G. Van Ryzin – American Journal of Evaluation, 2025
This article reviews the origins and use of the terms quasi-experiment and natural experiment. It demonstrates how the terms conflate whether variation in the independent variable of interest falls short of random with whether researchers find, rather than intervene to create, that variation. Using the lens of assignment--the process driving…
Descriptors: Quasiexperimental Design, Research Design, Experiments, Predictor Variables
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Powell, Marvin G.; Hull, Darrell M.; Beaujean, A. Alexander – Journal of Experimental Education, 2020
Randomized controlled trials are not always feasible in educational research, so researchers must use alternative methods to study treatment effects. Propensity score matching is one such method for observational studies that has shown considerable growth in popularity since it was first introduced in the early 1980s. This paper outlines the…
Descriptors: Probability, Scores, Observation, Educational Research
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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
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Cipani, Ennio – Research on Social Work Practice, 2014
In this article, I address the issue of comorbidity and its prevalence in the prior "Diagnostic and Statistical Manual of Mental Disorders" ("DSM") classification systems. The focus on the topography or form of presenting problems as the venue for determining mental disorders is scrutinized as the possible cause. Addressing the…
Descriptors: Mental Disorders, Classification, Comorbidity, Behavior Problems
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Soh, Kay Cheng – Higher Education Review, 2012
Three university ranking systems in vogue have been shown in the previous issue of "Higher Education Review" to be capable of modifications to make them more parsimonious by using only about half of the number of predictors currently in use. This makes some of the predictors "redundant" as they contributed little to the overall ranking. It is…
Descriptors: Higher Education, Predictor Variables, Profiles, Test Items
National Center on Response to Intervention, 2013
A valid screening system requires a screener that accurately predicts whether or not students are at risk given their current performance. To understand a screening measure's accuracy, predicted student performance data (i.e., screening data) must be compared with actual performance data. When these sets of data are compared in a setting where…
Descriptors: Screening Tests, Classification, Accuracy, Response to Intervention
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Minter, Mary Kennedy – Contemporary Issues in Education Research, 2010
This paper explores the proposition that teaching of critical thinking (CT) should include: (1) identifying and addressing the many environmental variables acting as barriers to our human thinking, i.e., an open system approach, and (2) utilizing the interrelatedness of the CT building blocks, i.e., creative thinking techniques, levels of…
Descriptors: Critical Thinking, Problem Solving, Predictor Variables, Barriers
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Michael, Jack; Palmer, David C.; Sundberg, Mark L. – Analysis of Verbal Behavior, 2011
Amid the novel terms and original analyses in Skinner's "Verbal Behavior", the importance of his discussion of multiple control is easily missed, but multiple control of verbal responses is the rule rather than the exception. In this paper we summarize and illustrate Skinner's analysis of multiple control and introduce the terms "convergent…
Descriptors: Verbal Operant Conditioning, Children, Autism, Speech
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DeCoster, Jamie; Iselin, Anne-Marie R.; Gallucci, Marcello – Psychological Methods, 2009
Despite many articles reporting the problems of dichotomizing continuous measures, researchers still commonly use this practice. The authors' purpose in this article was to understand the reasons that people still dichotomize and to determine whether any of these reasons are valid. They contacted 66 researchers who had published articles using…
Descriptors: Statistical Analysis, Classification, Monte Carlo Methods, Predictor Variables
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Strobl, Carolin; Malley, James; Tutz, Gerhard – Psychological Methods, 2009
Recursive partitioning methods have become popular and widely used tools for nonparametric regression and classification in many scientific fields. Especially random forests, which can deal with large numbers of predictor variables even in the presence of complex interactions, have been applied successfully in genetics, clinical medicine, and…
Descriptors: Artificial Intelligence, Decision Making, Psychological Studies, Research Methodology
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
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Coll, Joan H.; Coll, Richard – Information Processing and Management, 1993
Describes and organizes the variables affecting display presentation format (i.e., tables and graphs) in information systems into a classification scheme and creates a framework for research in this area. Two-factor studies are discussed; research recommendations are presented; and Cognitive Match Interface Design is explained. (Contains 31…
Descriptors: Classification, Display Aids, Graphs, Information Systems
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Rocci, Roberto; Vichi, Maurizio – Psychometrika, 2005
A new methodology is proposed for the simultaneous reduction of units, variables, and occasions of a three-mode data set. Units are partitioned into a reduced number of classes, while, simultaneously, components for variables and occasions accounting for the largest common information for the classification are identified. The model is a…
Descriptors: Factor Analysis, Classification, Least Squares Statistics, Monte Carlo Methods
Van Epps, Pamela D. – 1987
This paper discusses the principles underlying discriminant analysis and constructs a simulated data set to illustrate its methods. Discriminant analysis is a multivariate technique for identifying the best combination of variables to maximally discriminate between groups. Discriminant functions are established on existing groups and used to…
Descriptors: Classification, Correlation, Discriminant Analysis, Educational Research
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Gottfredson, Stephen D.; Moriarty, Laura J. – Crime & Delinquency, 2006
Statistically based risk assessment devices are widely used in criminal justice settings. Their promise remains largely unfulfilled, however, because assumptions and premises requisite to their development and application are routinely ignored and/or violated. This article provides a brief review of the most salient of these assumptions and…
Descriptors: Risk, Justice, Criminals, Crime
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