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Levy, Kenneth J. – Educational and Psychological Measurement, 1977
Bechhofer's procedure for selecting the population with the largest mean from among several populations with known variances is discussed as it applies to the problem of selecting the bivariate normal population with the largest correlation coefficient. Tables of appropriate sample sizes are provided and an example is discussed. (Author/JKS)
Descriptors: Correlation, Research Design, Sampling, Tables (Data)
Johnston, Lloyd D.; O'Malley, Patrick M.; Bachman, Jerald G.; Schulenberg, John E. – National Institute on Drug Abuse (NIDA), 2010
The Monitoring the Future (MTF) study is an ongoing series of national surveys of American adolescents and adults that has provided the nation with a vital window into the important, but largely hidden, problem behaviors of illegal drug use, alcohol use, tobacco use, anabolic steroid use, and psychotherapeutic drug use. For more than a third of a…
Descriptors: Narcotics, Incidence, Dropouts, Drug Abuse
Spearing, Debra; Woehlke, Paula – 1989
To assess the effect on discriminant analysis in terms of correct classification into two groups, the following parameters were systematically altered using Monte Carlo techniques: sample sizes; proportions of one group to the other; number of independent variables; and covariance matrices. The pairing of the off diagonals (or covariances) with…
Descriptors: Classification, Correlation, Discriminant Analysis, Matrices

Nyberg, V. R.; Baril, R. G. – Alberta Journal of Educational Research, 1973
The purpose of this study is to examine the SACU variables in relation to other commonly used variables in predicting university success in Alberta. (Author)
Descriptors: Academic Achievement, Correlation, Educational Research, Educational Testing

Hunter, John E. – Journal of Educational Measurement, 1973
Using the notion of parallel items this paper presents a family of new criteria for cluster analysis. (Author)
Descriptors: Cluster Analysis, Correlation, Data Analysis, Factor Analysis

Bowd, Alan D. – Alberta Journal of Educational Research, 1973
The broad objective of this study then, is to attempt to discover whether a set of environmental variables presumably of significance for cognitive growth, generates similar factor structures across groups of varying socioeconomic status. (Author)
Descriptors: Cognitive Development, Correlation, Environmental Research, Factor Analysis

Reid, W. A.; Holley, B. J. – British Journal of Educational Psychology, 1974
A 40 item, Likert type attitude inventory was completed by a sample fo 448 teachers in schools with sixth forms. Implications for policy making in the area of sixth form education are briefly discussed. (Editor)
Descriptors: Correlation, Educational Policy, Educational Psychology, Factor Analysis

King, R. – Educational Review, 1974
Propositions made about short-course comprehensive schools and about neighborhood schools were tested in an investigation of all the 12-16 schools in a single LEA characterized by high levels of educational expenditure and an egalitarian ideology. (Editor)
Descriptors: Correlation, High Schools, Minicourses, Neighborhood Schools

Gynther, M. D.; And Others – Journal of Clinical Psychology, 1973
This study compared more than 3400 MMPIs obtained from pschiatric in-patients in public mental health facilities with mental status and preadmission descriptor ratings to derive empirical correlates of profiles clustered primarily by two-point high codes. (Author)
Descriptors: Codification, Correlation, Data Analysis, Patients

Simon, A.; Ward L. O. – Journal of Moral Education, 1973
The purpose of this investigation is to provide further data concerning the variables, age, intelligence and sex, that may affect moral judgment. (Author/RK)
Descriptors: Adolescents, Age, Correlation, Intelligence Quotient

Feldt, Leonard S. – Journal of Educational Measurement, 1973
This paper provides a guide to the minimum size of treatment groups, inferred from the relationships between pupil norms and norms for class averages of standardized achievement tests. (Editor)
Descriptors: Class Average, Correlation, Educational Experiments, Group Norms

Manners, George E., Jr.; Steger, Joseph A. – Personnel Psychology, 1975
Article investigated the stability of both the Edwards Personal Preference Schedule (EPPS) (Edwards, 1959) and the Guilford-Zimmerman Temperment Survey (GZTS) (Guilford and Zimmerman, 1949) by presenting new data on the intercorrelations of the scales in these tests. (Author/RK)
Descriptors: Correlation, Data Analysis, Measurement Instruments, Personnel Selection

Frisbee, David A. – Journal of Educational Measurement, 1973
The purpose of this study was to gather empirical evidence to compare the reliabilities and concurrent validities of multiple choice and true-false tests that were written to measure understandings and relationships in the same content areas. (Author)
Descriptors: Achievement Tests, Correlation, High School Students, Measurement

Maguire, M. Stephen – Adolescence, 1973
This study proposed to formulate an instrument to help the adolescent make a self-evaluation, and to acquire some self-understanding. (Author)
Descriptors: Adolescents, Behavior Rating Scales, Behavioral Science Research, Correlation

Reilly, Richard R.; Jackson, Rex – Journal of Educational Measurement, 1973
The present study suggests that although the reliability of an academic aptitude test given under formula-score condition can be increased substantially through empirical option weighting, much of the increase is due to the capitalization of the keying procedure on omitting tendencies which are reliable but not valid. (Author)
Descriptors: Aptitude Tests, Correlation, Factor Analysis, Item Sampling
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