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Curtis, Ervin W. – 1976
The optimum weighting of variables to predict a dependent-criterion variable is an important problem in nearly all of the social and natural sciences. Although the predominant method, multiple regression analysis (MR), yields optimum weights for the sample at hand, these weights are not generally optimum in the population from which the sample was…
Descriptors: Correlation, Error Patterns, Factor Analysis, Matrices
Peer reviewedDeGrove, William – Suicide and Life-Threatening Behavior, 1977
The contributions of several core variables to the white suicide rates in 24 Florida counties were examined. A prediction equation including age, crime rate, insanity, and alcoholism was found that accounted for 79 percent of the variation in the suicide rates across counties. (Author)
Descriptors: Age, Behavior Problems, Community Influence, Death
Peer reviewedde Rome, Elizabeth; Lewin, Terry – Higher Education, 1984
A study examined whether information about student approaches to making their course choices could have been used to identify those who subsequently changed or withdrew from their courses. Multivariate analysis indicated that combinations of the information could discriminate between students who persisted and those who withdrew. (Author/MLW)
Descriptors: Academic Persistence, College Environment, Higher Education, Predictive Measurement
Peer reviewedMuchinsky, Paul M. – Personnel Psychology, 1975
Descriptors: Consumer Economics, Correlation, Credit (Finance), Evaluation Criteria
Peer reviewedWachtel, Paul – Review of Economics and Statistics, 1976
Analyzes the impact of expenditures per year of schooling on earnings, based on data from a longitudinal study of 1,633 male American World War II veterans. (Available from North-Holland Publishing Company, P.O. Box 211, Amsterdam, the Netherlands; $13.50 annually, plus $4.00 postage and handling) (JG)
Descriptors: Educational Economics, Elementary Secondary Education, Factor Analysis, Higher Education
Peer reviewedNovick, Melvin R.; Jackson, Paul H. – American Educational Research Journal, 1974
(See also TM 501 087, TM 501 089 and TM 501 090.)
Descriptors: Bayesian Statistics, Models, Multiple Regression Analysis, Prediction
Peer reviewedKapes, Jerome T.; O'Reilly, Patrick A. – Journal of Industrial Teacher Education, 1973
Realizing the need to select success crtieria for use in a longitudinal vocational development study, the authors developed a model which depicted the relationships between several available success criteria. Hopefully, these hypothetical relationships would act as a framework for further research. (DS)
Descriptors: Educational Research, Grade 10, Grade 11, Models
Peer reviewedCahen, Leonard S.; Linn, Robert L. – American Educational Research Journal, 1971
Johnson-Neyman, Potthoff, and Erlander and Gustavsson techniques for obtaining confidence regions for the difference between regression surfaces are compared. (DG)
Descriptors: Aptitude Treatment Interaction, Grouping (Instructional Purposes), Interaction Process Analysis, Mathematical Models
Peer reviewedShaver, James P. – Educational Researcher, 1983
Explores problems involved in the quantitative verification of independent variables in investigations of the effects on student outcomes of planned variations in instructional behavior. Specifically addresses (1) gathering of data through direct systematic observation, and (2) analysis of those data through the use of inferential statistics. (GC)
Descriptors: Data Analysis, Data Collection, Educational Research, Observation
Shaw, Robert C. – North Central Association Quarterly, 1980
Describes a study conducted to determine the accuracy of the Cohort-Survival Method of Enrollment Forecasting, based on enrollment data collected over a ten-year period from a random sample of 42 Missouri school districts. Compares forecast accuracy with the enrollment stability and location of each of the districts. (JP)
Descriptors: Cohort Analysis, Declining Enrollment, Elementary Secondary Education, Enrollment Projections
Peer reviewedCook, Daniel W. – Rehabilitation Counseling Bulletin, 1980
Presents a method to improve client classification. Reviews clinical prediction models and statistical prediction issues. In classifying clients for remedial services, utility of the prediction scheme depends on gains accrued by its use over program base rates and relative cost. This assumes that differential treatments parallel diagnostic…
Descriptors: Classification, Clinical Diagnosis, Counseling, Models
Peer reviewedGill, Peter Edward – Scandinavian Journal of Educational Research, 1976
Multiple regression is used to discover interconnections between IQ and vocabulary test scores as one variable, and socioeconomic factors as the other. Results show total variance as explained by predictors is never more than eight per cent, indicating differences in IQ scores are not attributable to environmental factors. (RW)
Descriptors: Intelligence, Intelligence Quotient, Intelligence Tests, Measurement Techniques
Marion, Sarah DeBoard; Touchette, Paul E.; Sandman, Curt A. – American Journal on Mental Retardation, 2003
This study with 45 institutionalized individuals with mental retardation and self injurious behavior (SIB) calculated conditional probability using sequential analysis techniques. It found that successive episodes of self-injury were sequentially dependent and this association was not related to frequency or rate of occurrence. The best predictor…
Descriptors: Adults, Behavior Disorders, Children, Incidence
Blose, Gary – New Directions for Higher Education, 1999
Describes how the State University of New York, using large databases and regression techniques, has developed several coordinated, comprehensive efforts to evaluate and project current and future enrollments. One requires decomposition of the student population into mutually exclusive subgroups. The other, superior, approach uses logistic…
Descriptors: Databases, Enrollment Management, Enrollment Projections, Evaluation Methods
Egbochuku, E. O.; Obodo, B. O. – Journal of Instructional Psychology, 2005
This study investigated the effect of Systematic Desensitisation (SD) therapy on the reduction of test anxiety on some identified test anxious students. In addition, three secondary independent variables were studied along. These were entry test anxiety level, sex, and locus of control. A 2 x 2 x 2 way factorial design was employed. SD was found…
Descriptors: Desensitization, Test Anxiety, Adolescents, Predictor Variables

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