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Sucec, A. A. – 1979
Twenty-three male distance runners between the ages of 16 and 23 who had achieved a ten-minute or better two-mile performance were tested to determine physical and physiological characteristics to be used in predictive research regarding running performance. Relative body fat ratio, metabolic data, and oxygen intake capability were among the…
Descriptors: Exercise (Physiology), Measurement Techniques, Performance Factors, Predictive Measurement
Weeks, Joseph L.; Mullins, Cecil J. – 1975
The identification of variables useful in the prediction of drug abuse has been the subject of a great deal of research. The research presented in this report attempts to add to the existing collection of information concerning variables useful in the prediction of drug abuse. An experimental instrument, the Social Factors Questionnaire, was…
Descriptors: Armed Forces, Drug Abuse, Predictive Measurement, Predictor Variables
Florida State Dept. of Education, Tallahassee. Div. of Elementary and Secondary Education. – 1974
This report briefly describes and analyzes several of the most frequently used techniques for depicting trends and making projections of education statistics. Each technique is described simply and nontechnically, with its uses and shortcomings, and a step-by-step analytical and graphic example and explanation. Projection techniques described…
Descriptors: Data Analysis, Graphs, Predictive Measurement, Research Methodology
Test Service Bulletin, 1953
Validity coefficients, standard errors of estimate, and prediction are discussed. An argument is made for the potential utility of tests with validity coefficients of .60, .50, .40, and even .30, because they can predict the extremes, which is especially valuable for many purposes, such as counseling, college admissions, and personnel selection.…
Descriptors: Bulletins, Norm Referenced Tests, Predictive Measurement, Scores
Peer reviewedLevy, Kenneth J. – Educational and Psychological Measurement, 1978
Kaminsky and Nelson's method for estimating the times of future "success" from the times of earlier "successes" in the same sample is discussed in terms of its potential applications to long term psychological treatment, research, or training programs. (Author/JKS)
Descriptors: Educational Programs, Guidance Programs, Prediction, Predictive Measurement
Peer reviewedSauer, Tim – College and Research Libraries, 1978
Describes a statistical model that can predict, throughout the fiscal year, the amount of money that will be spent on firm orders against a given fund, thereby predicting the number of orders that must still be placed to totally spend but not overspend that fund. Data tables are included. (Author/JD)
Descriptors: Libraries, Library Acquisition, Library Expenditures, Models
Peer reviewedBourg, James W.; And Others – Journal of Library Automation, 1978
Describes a systematic approach to the design of fixed-length, derived, truncated search keys for corporate author records; and a statistical method for predicting the performance of search keys for files of arbitrary size. (VT)
Descriptors: Graphs, Information Processing, Information Retrieval, Library Research
Jorgenson, Dale O. – J Educ Meas, 1970
Results in this study suggest that it is possible to use performance on a moderator or predictability scale to select a subgroup for whom correspondence between two predictors and the criterion is much greater than that of a subgroup whose scores on the moderator indicate a lesser degree of correspondence. (Author/ES)
Descriptors: Individual Differences, Prediction, Predictive Measurement, Predictive Validity
Toms, John G.; Brewer, James K. – Rehabilitation Literature, 1971
Presented and applied to a sample of 239 vocational rehabilitation clients is a discrete multivariate classification procedure for predicting vocational rehabilitation outcomes using several background characteristic combinations. Several cost-of-misclassification functions are proposed. (Author/KW)
Descriptors: Disabilities, Discriminant Analysis, Prediction, Predictive Measurement
Weiss, Kenneth P. – Coll Univ, 1970
This study represents an approach to developing a non-linear predictive system by which college applicants may be rank ordered. (IR)
Descriptors: Academic Achievement, Admission (School), Clinical Diagnosis, Higher Education
Peer reviewedGilman, David A. – Planning and Changing, 1988
This article discusses the uses of production function models and describes the role of inferential statistics for making predictions in school finance. Specifically, the analysis evaluates types, suggests uses, explains the advantages and disadvantages, and lists the statistical complexities of production functions. (JAM)
Descriptors: Educational Finance, Elementary Secondary Education, Prediction, Predictive Measurement
Baldwin, Beatrice – 1987
The robustness of LISREL computer program maximum likelihood estimates under specific conditions of model misspecification and sample size was examined. The population model used in this study contains one exogenous variable; three endogenous variables; and eight indicator variables, two for each latent variable. Conditions of model…
Descriptors: Computer Software, Maximum Likelihood Statistics, Monte Carlo Methods, Predictive Measurement
Plant, Walter T.; Smith, Betsy R. – 1978
Few meaningful sex differences will be reported if investigators go beyond the reporting of statistical significance to determine the indices of experimental effect size. Techniques for obtaining this type of information include the calculation of d and the estimate of omega squared, which indicate the advisability of continuing a line of…
Descriptors: Predictive Measurement, Predictor Variables, Research Projects, School Counseling
Lau, Alan W.; And Others – 1969
As part of a program to evaluate noncognitive tests for use in identifying enlisted men most likely to remain in the Navy, the Navy Vocational Interest Inventory (NVII) was analyzed for its ability to predict career motivation. The NVII was administered experimentally to incoming students at seven "A" schools varying widely in…
Descriptors: Bibliographies, Enlisted Personnel, Interest Inventories, Military Personnel
Peer reviewedKinsella, I. A.; Hannaidh, P. B. O. – Physics Education, 1978
Describes a simulation method for measurement of errors that requires calculators and tables of random digits. Each student simulates the random behaviour of the component variables in the function and by combining the results of all students, the outline of the sampling distribution of the function can be obtained. (GA)
Descriptors: College Science, Computation, Higher Education, Instruction


