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Byon, Kevin K.; Zhang, James J. – Measurement in Physical Education and Exercise Science, 2019
Sport management research has evolved significantly despite its relatively short history as an academic discipline. Although the pace of scholarly progress has been impressive, the extent to which many research efforts have aided sport management in becoming a distinct academic discipline is, at times, questionable. A major challenge many scholars…
Descriptors: Athletics, Research, Statistical Analysis, Research Methodology
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Plonsky, Luke; Oswald, Frederick L. – Studies in Second Language Acquisition, 2017
Second language (L2) research relies heavily and increasingly on ANOVA (analysis of variance)-based results as a means to advance theory and practice. This fact alone should merit some reflection on the utility and value of ANOVA. It is possible that we could use this procedure more appropriately and, as argued here, other analyses such as…
Descriptors: Multiple Regression Analysis, Statistical Analysis, Comparative Analysis, Second Language Learning
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Tzelgov, Joseph; Henik, Avishai – Educational and Psychological Measurement, 1981
Velicer (1978) defines suppression situations in terms of the relations between part correlation and zero order validity. Conger (1974) defines suppressor in terms of regression weights. The present work clarifies the difference between the two approaches: Velicer's suppressor circumscribes only a subset of the suppression situations as defined by…
Descriptors: Multiple Regression Analysis, Research Problems, Suppressor Variables
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O'Grady, Kevin E.; Medoff, Deborah R. – Multivariate Behavioral Research, 1988
Limitations of dummy coding and nonsense coding as methods of coding categorical variables for use as predictors in multiple regression analysis are discussed. The combination of these approaches often yields estimates and tests of significance that are not intended by researchers for inclusion in their models. (SLD)
Descriptors: Multiple Regression Analysis, Predictive Measurement, Regression (Statistics), Research Problems
Prosser, Barbara – 1990
The value of variance is emphasized, and the element of design, frequently not adequately understood, is clarified to underscore the importance of variance to the researcher. Two analytic methods, analysis of variance (ANOVA) and multiple regression, are discussed in terms of how each uses/applies variance. Advantages and major difficulties with…
Descriptors: Analysis of Variance, Data Analysis, Multiple Regression Analysis, Predictor Variables
Willson, Victor L. – 1982
The current state of usage of regression models in analysis of variance (ANOVA) designs is empirically examined, and examples of several statistical errors made in usage are presented. The assumptions of the general linear model are that all predictors are known without error of measurement and are fixed with no replication or sample variation; in…
Descriptors: Analysis of Covariance, Analysis of Variance, Error of Measurement, Generalization
Simpson, William A. – 1981
Conclusions one would make from looking at average faculty salaries in a specific department were compared with those conclusions evolving from a regression analysis of the same salaries. The standard salary study does little more than report the average salary associated with each faculty rank within each department, while a regression study…
Descriptors: Academic Rank (Professional), College Faculty, Comparative Analysis, Departments
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Assor, Avi; And Others – Child Development, 1990
Addresses three issues concerning the assessment of the overrating and underrating of academic competence: (1) the impossibility of separating effects of overrating and underrating from effects of perceived and actual competence; (2) the questionable validity of Connell and Ilardi's method; and (3) the proposal of a new method and its implications…
Descriptors: Academic Ability, Achievement Rating, Analysis of Variance, Children
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Sameroff, Arnold J.; And Others – Monographs of the Society for Research in Child Development, 1978
Discusses the structure, reliability, stability, validity and usefulness of the Brazelton Neonatal Behavioral Assessment Scale (NBAS) and the results of factor and regression analyses of data collected using the NBAS. (Author/BH)
Descriptors: Child Development, Conceptual Schemes, Factor Analysis, Infant Behavior
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Newsom, Jason T.; Prigerson, Holly G.; Schulz, Richard; Reynolds, Charles F., III – International Journal of Aging and Human Development, 2003
Many topics in aging research address questions about group differences in prediction. Such questions can be viewed in terms of interaction or moderator effects, and use of appropriate methods to test these hypotheses are necessary to arrive at accurate conclusions about age differences. This article discusses the conceptual, methodological, and…
Descriptors: Age Differences, Depression (Psychology), Multiple Regression Analysis, Hypothesis Testing