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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
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
Pollnac, Richard B.; Robbins, Michael C. – Human Organization, 1972
The nature of the relationship of various aspects of the modernization process to deferred/immediate goal gratification among rural Baganda living in Uganda is examined. (NQ)
Descriptors: Age, Correlation, Developing Nations, Goal Orientation
Peer reviewed Peer reviewed
Slevin, Dennis P. – Administrative Science Quarterly, 1973
This replication of earlier research tests a mathematical model for examining the conditions under which individuals innovate. By raising costs from zero -- as validated in earlier research -- to .25, this replication defines an innovation boundary at which individuals behave as predicted by their position with respect to that boundary. (Author/JH)
Descriptors: Analysis of Variance, Behavior Change, Costs, Innovation
Peer reviewed Peer reviewed
Edwards, Ronald R. – Journal of Educational Research, 1972
It was concluded that prediction of success in remedial mathematics courses can be made correctly 71 percent of the time using five select predictors: high school average, mathematics test score, attitude toward mathematics score, sentence test score, and mathematics interest score. (Author)
Descriptors: Attitude Measures, Community Colleges, Multiple Regression Analysis, Prediction
Peer reviewed Peer reviewed
Nickens, John Marcus – Journal of Educational Research, 1972
In the case of success-failure predictions, approximately 75 percent of those predicted to succeed did and 51 percent of those predicted to fail failed. (Editor)
Descriptors: Academic Achievement, Multiple Regression Analysis, Predictive Measurement, Predictor Variables
Halinski, Ronald S.; Feldt, Leonard S. – J Educ Meas, 1970
Four commonly employed procedures were repeatedly applied to computer-simulated samples to provide comparative data pertaining to two questions: (a) which procedure can be expected to produce and equation that yields the most accurate predictions for the population, and (b) which procedure is most likely to identify the optimal set of independent…
Descriptors: Correlation, Multiple Regression Analysis, Prediction, Predictive Measurement
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