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Gardner, Don E. – 1980
The merits of double exponential smoothing are discussed relative to other types of pattern-based enrollment forecasting methods. The difficulties associated with selecting an appropriate weight factor are discussed, and their potential effects on prediction results are illustrated. Two methods for objectively selecting the "best" weight…
Descriptors: College Students, Enrollment Projections, Enrollment Trends, Higher Education
Winn, William – 1976
New ways of using factor analysis in research designs are suggested in this paper that would allow research to move in new directions that are being suggested for educational technology. A brief simplified overview of factor-analytic techniques is given, followed by a description of some recent developments in factor-analytic techniques which make…
Descriptors: Educational Technology, Factor Analysis, Factor Structure, Matrices
Williams, John D.; Lindem, Alfred C. – 1974
Four computer programs using the general purpose multiple linear regression program have been developed. Setwise regression analysis is a stepwise procedure for sets of variables; there will be as many steps as there are sets. Covarmlt allows a solution to the analysis of covariance design with multiple covariates. A third program has three…
Descriptors: Analysis of Covariance, Analysis of Variance, Computer Programs, Multiple Regression Analysis
Carpenter, David W. – 1976
The purpose of this study was to evaluate both the written Department of Motor Vehicles (DMV) driver licensing test, and a large sample of driver knowledge test items selected from the University of Michigan's Highway Safety Research Institute (HSRI) item pool. Test forms were administered to 48,000 California drivers license applicants. The…
Descriptors: Certification, Evaluation, Item Banks, Predictor Variables
Peer reviewedHolderness, Aubrey; Handorf, James – Business Education Forum, 1976
The method used to arrive at four measures (three aptitude test scores and a high school grade point average) for predicting probable success is described. These measures were developed into three separate equations to predict success in: learning shorthand theory, reading shorthand notes, and dictation/transcription ability. (Author/MS)
Descriptors: Academic Ability, Office Occupations Education, Prediction, Predictive Measurement
Peer reviewedVasu, Ellen Storey – Multiple Linear Regression Viewpoints, 1978
The construction and interpretation of confidence intervals for the prediction of new cases in multiple regression analysis is explained. An example is provided. (JKS)
Descriptors: Computer Programs, Data Analysis, Goodness of Fit, Multiple Regression Analysis
Tanur, Judith M.; Coser, Rose L. – AAUP Bulletin, 1978
It is hypothesized that three factors would predispose women in specifiable positions to lower-than-expected salaries: length of service, rank, and proportion of females in the field. A multiple regression technique is used. (LBH)
Descriptors: Females, Higher Education, Predictor Variables, Salary Wage Differentials
Peer reviewedCohen, Peter A. – Research in Higher Education, 1984
A meta-analytic method synthesized results of 108 studies of the relationship between college grades and various criteria of adult achievement or success. Results showed little correlation, although effects were larger for military settings and studies before 1950. The predictive value of grades is questioned. (MSE)
Descriptors: Academic Achievement, Adults, College Students, Comparative Analysis
Miller, Douglas E.; Kunce, Joseph T. – Measurement and Evaluation in Guidance, 1973
An empirical study of statistical overkill investigated the generalizability of multiple regression equations as a function of the subject/variable ratio. Data from various-sized groups of rehabilitation clients were used to develop the equations. Findings showed that equations developed on samples with less than a 10 to 1 ratio failed to…
Descriptors: Generalization, Multiple Regression Analysis, Prediction, Predictive Validity
Peer reviewedSchmidt, Frank L. – Educational and Psychological Measurement, 1972
Descriptors: Mathematical Models, Multiple Regression Analysis, Predictor Variables, Psychological Testing
Peer reviewedBorich, Gary D. – Journal of Experimental Education, 1972
Paper reviews the test for regression lines and provides equations for expanding this test to regression planes. (Author)
Descriptors: Analysis of Covariance, Homogeneous Grouping, Mathematical Applications, Multiple Regression Analysis
Peer reviewedBedi, Ashok R. – Journal of Alcohol and Drug Education, 1983
Examined characteristics of the neighborhoods from which clientele of an alcohol treatment center were derived. Using 1970 Milwaukee census figures and patient information, computer analysis showed positive correlations between admissions and ethnicity, educational status, nonfamiy dimension, adult male and adolescent female neighborhoods,…
Descriptors: Alcoholism, Census Figures, Community Health Services, Demography
Peer reviewedGoodman, Leo A. – American Journal of Sociology, 1979
Appropriate methods are described for research workers in sociology to use as they perform causal analyses of data from surveys. Particular emphasis is placed on the causal analysis of qualitative variables. (Author/DB)
Descriptors: Data Analysis, Higher Education, Predictor Variables, Research Methodology
Peer reviewedFeild, Hubert S. – Research in Higher Education, 1976
The use of life history or biographical information to predict various college experiences of women was examined in this study of 327 women. The results indicated that life history data could be used to make longitudinal predictions and are discussed in terms of their implications for counseling students in higher education. (Author/LBH)
Descriptors: Biographical Inventories, Females, Higher Education, Longitudinal Studies
Peer reviewedStage, Frances K. – Research in Higher Education, 1988
A study demonstrated the use of logistic regression in conjunction with a new structural equations modeling technique for a university attrition study. The results and their methodological implications are discussed. (MSE)
Descriptors: Academic Persistence, College Freshmen, Comparative Analysis, Higher Education


