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Wampold, Bruce E.; Freund, Richard D. – Journal of Counseling Psychology, 1987
Explains multiple regression, demonstrates its flexibility for analyzing data from various designs, and discusses interpretation of results from multiple regression analysis. Presents regression equations for single independent variable and for two or more independent variables, followed by a discussion of coefficients related to these. Compares…
Descriptors: Behavioral Science Research, Counseling, Data Analysis, Multiple Regression Analysis
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Widaman, Keith F. – Journal of Educational Statistics, 1987
The reviewer praises the book as a good elementary introduction to theory and method in factor analysis as it applies to psychometrics and social science research. (TJH)
Descriptors: Correlation, Estimation (Mathematics), Factor Analysis, Latent Trait Theory
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Trabasso, Tom; Van Den Broek, Paul – Journal of Memory and Language, 1985
Presents a comparative reanalysis of two studies into why some story events are more memorable than other events. Also proposes a theoretical account of the identified variables (story-grammar category, causal chain, causal connectivity factors to recall, and other measures of story understanding) and their influence on the comprehension of…
Descriptors: Analysis of Variance, Discourse Analysis, Multiple Regression Analysis, Narration
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Burleson, Brant R.; And Others – Human Communication Research, 1984
Strongly confirmed the hypothesis that groups employing an interacting decision procedure would produce better decisions than groups employing procedures that are either nominal (Delphi) or "staticized" (individual judgments statistically pooled). Provides clear and consistent support for the value of social interaction in small group…
Descriptors: College Students, Communication Research, Decision Making, Group Discussion
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Moore, Ray T.; Davies, Jon A. – Educational and Psychological Measurement, 1984
Prediction of General Educational Development (GED) scores from motivational variables derived from Vroom's expectancy-valence theorem was hypothesized. The Tests of Adult Basic Education score, General Aptitude Test Battery score, MD1 expectancy subscale score, and Minnesota Multiphasic Personality Inventory defensiveness score accounted for…
Descriptors: Economically Disadvantaged, High School Equivalency Programs, Motivation, Multiple Regression Analysis
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Stark, Joan S.; Lowther, Malcolm A. – Educational Administration Quarterly, 1984
Analysis of responses from 536 teachers revealed that teachers' background and professional attitudes were related to their views toward six specific types of evaluation. Multifaceted approaches may be required in order to realize consensus regarding teacher evaluation. (MLF)
Descriptors: Elementary Secondary Education, Evaluation Criteria, Models, Multiple Regression Analysis
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Bennion, Bruce C.; Karschamroon, Sunee – Journal of Documentation, 1984
This study examines possibility of ranking journals in physics by means of bibliometric regression models that estimate usefulness as it is reported by 167 physicists in United States and Canada. Development of four models, patterns of deviation from models, and validity and application are discussed. Twenty-six references are cited. (EJS)
Descriptors: Models, Multiple Regression Analysis, Physics, Research Methodology
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Stavig, Gordon R. – Journal of Experimental Education, 1983
A method is developed for testing a priori multiple regression models. The method allows one to specify in advance as many unstandardized or standardized coefficients as one wants to and allows the remaining slopes to be free to vary. (Author/PN)
Descriptors: Computer Programs, Hypothesis Testing, Mathematical Models, Multiple Regression Analysis
Koenig, Lane; Fields, Errol L.; Dall, Timothy M.; Ameen, Ansari Z.; Harwood, Henrick J. – 2000
This report demonstrates three applications of case-mix methods using regression analysis. The results are used to assess the relative effectiveness of substance abuse treatment providers. The report also examines the ability of providers to improve client employment outcomes, an outcome domain relatively unexamined in the assessment of provider…
Descriptors: Adjustment (to Environment), Data Analysis, Employment, Evaluation Methods
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Srinivasan, V.; Shocker, Allan D. – Psychometrika, 1973
This paper offers a new methodology for analyzing individual differences in preference judgments with regard to a set of stimuli. (Author)
Descriptors: Algorithms, Goodness of Fit, Models, Multidimensional Scaling
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Lissitz, Robert W.; Schoenfeldt, Lyle F. – American Educational Research Journal, 1974
The purpose of this study was to compare five predictor models, including two least-square procedures, two probability weighting (semi-Bayesian) methods, and a Bayesian model developed by Lindley. (See also TM 501 088, TM 501 089, and TM 501 090) (Author/NE)
Descriptors: Bayesian Statistics, College Freshmen, Models, Multiple Regression Analysis
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Dunham, Randall B. – Journal of Educational Research, 1973
The present study is the first phase of a longitudinal investigation designed to isolate non-intellective factors which might increase the power to predict academic success. (Author/RK)
Descriptors: Academic Achievement, College Students, Correlation, Learning Motivation
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Schiff, William – American Journal of Psychology, 1973
The present study used simulated social interactions for purposes of control and attempted to distinguish and analyze the contributions of both stimulus and perceiver, rather than assuming at the outset that either would be relatively unimportant. (Author)
Descriptors: Animation, Cartoons, College Students, Deafness
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Jackson, Mark; Jones, E. B. – Industrial and Labor Relations Review, 1973
Descriptors: Labor Economics, Labor Market, Labor Supply, Metropolitan Areas
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Clemente, Frank – American Journal of Sociology, 1973
The publication records of 2,205 holders of the Ph.D. in sociology are examined for the period 1940-70. The predictive efficiency of six independent variables is assessed via regression analysis. A seventh variable is used as a control. Results of the study and directions for future research are presented and discussed. (SM)
Descriptors: Doctoral Degrees, Multiple Regression Analysis, Predictive Measurement, Predictor Variables
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