It is recognized that parametric methods (e.g., t-tests, discriminant analysis, and methods based on analysis of variance) are special cases of canonical correlation analysis. In canonical correlation it has been argued that structure coefficients must be computed to correctly interpret results. It follows that structure coefficients may be useful…

The purpose of this paper is to examine the value of the locus of control construct as a predictor of attitudes, such as those considered by Janzen, Beeken and Hritzuk, and as a useful predictor of other personality variables. (Author/RK)

College admissions boards have accepted certain scoring criteria as good indicators of a student's potential success in college, and this study measures the validity of such scoring. (Author/RK)

Factorial modeling is justified as a method for analyzing correlations in support of causal inference. The method is illustrated and compared to path analysis, LISREL-type analysis, canonical correlation, and commonality analysis. Predictions of impacts of policy manipulations are demonstrated. (Author/CP)

This paper discusses the principles underlying discriminant analysis and constructs a simulated data set to illustrate its methods. Discriminant analysis is a multivariate technique for identifying the best combination of variables to maximally discriminate between groups. Discriminant functions are established on existing groups and used to…

The purpose of the study was to explore the formation of teachers' expectations of students' academic performance. First-grade teachers were interviewed or asked to respond to questionnaires concerning their pupils, and ranked their students on expected academic performance at three periods in the school year. Teachers rankings of expected…

Compares the Metropolitan Readiness Test with the opinion a parent or teacher has of a child for predicting success in the first grade. Results of a two year study are analyzed. (RK)

Mounting pressure in the policy arena to improve teacher productivity either by improving signals that predict teacher performance or through creating incentive contracts based on performance--has spurred two related questions: Are there important determinants of teacher productivity that are not captured by teacher credentials but that can be…

Although a complex process, canonical correlation has numerous potential advantages over other predictive techniques, the most important being that canonical correlation predicts several criterion variables simultaneously. The paper shows how the method can be used for industrial and vocational-technical education data. (Author)

This final report summarizes past research and suggests new approaches to the problem of estimating long-term individual constants using path analysis. The general objective of the research was to detect and measure the likelihood that one variable, x, measured at time, t, has a causal influence on another variable, y, measured at a subsequent…

TO DETERMINE THE RELATIONSHIP BETWEEN SOCIOECONOMIC STATUS (SES) AND MEASURES OF ACADEMIC MOTIVATION, APTITUDE, AND ACHIEVEMENT, A SAMPLE OF 4,200 11TH-GRADE CAUCASIAN STUDENTS FROM NINE MICHIGAN HIGH SCHOOLS WAS STUDIED. THE EXPERIMENT TESTED TWO NULL HYPOTHESES--(1) THERE IS NO RELATIONSHIP BETWEEN SES AND AN OBJECTIVE MEASURE OF MOTIVATION, AND…

This study was designed to select and explore a research battery which, when administered at the beginning of the school year, more adequately and efficiently predicts end-of-year reading achievement than have previously used tests and test batteries. The most powerful predictor tests were designed to provide a more adequate screening device than…

Validity of the Ohio Vocational Education Achievement Test Program (OVEATP) was studied by determining the correlation between test scores and job placement rates, job success rates, wages, and curriculum content. Performance on the 2 tests in the OVEATP--a general ability test and 1 of 25 occupational tests--was found to be moderately correlated.…