This study investigated the role of each strategy in explaining sixth graders' (12-13 years old students') non-routine problem solving success and discriminating between successful and unsuccessful students. Twelve non-routine problems were given to 123 pupils. Answers were scored between 0 and 10. Bottom and top segments of 27% were then…

This study aims to determine the explanatory and discriminative powers of non-routine problem solving strategies used by fourth graders. Six problems were asked to 240 pupils. After scoring answers between 0 and 10, bottom and top segments of 27% were determined based on total scores. Lastly, all scripts of students in these segments were…

Correlation matrices and standard deviations are the building blocks of many of the commonly conducted analyses in published research, and AERA and APA reporting standards recommend their inclusion when reporting research results. The authors argue that the inclusion of correlation/covariance matrices, standard deviations, and means can enhance…

This paper discusses how a seldom-used statistical procedure, recursive regression (RR), can numerically and graphically illustrate data-driven nonlinear relationships and interaction of variables. This routine falls into the family of exploratory techniques, yet a few interesting features make it a valuable compliment to factor analysis and…

Several procedures are outlined for replacing missing values in multivariate analyses by regression values obtained in various ways, and for adjusting coefficients (such as factor score coefficients) when data are missing. None of the procedures are complex or expensive. (Author)

Discusses the nature, power, and limitations of four multivariate techniques: factor analysis, multiple analysis of variance, multiple regression, and multiple discriminant analysis. Shows how decision trees assist in interpreting results. (SK)

Three approaches to the prediction of juvenile recidivism--factor analysis, stepwise multiple regression, and stepwise discriminant analysis--are contrasted. Stepwise discriminant analysis provided the most consistent selection of variables in the data set used. Problems and advantages of the three approaches are discussed. (Author/JKS)

The relationship of multiple linear regression to various multivariate statistical techniques is discussed. The importance of the standardized partial regression coefficient (beta weight) in multiple linear regression as it is applied in path, factor, LISREL, and discriminant analyses is emphasized. The multivariate methods discussed in this paper…

This study was concerned with various schemes for reducing the number of variables in a multivariate analysis. Two sets of illustrative data were used; the numbers of criterion groups were 3 and 5. The proportion of correct classifications was employed as an index of discriminatory power of each subset of variables selected. Of the four procedures…

This paper comments on the impact of computers on statistical analysis and presents a concise, nontechnical overview of five statistical methods now being applied in educational research. Appropriate uses of these techniques are pointed out, along with dangers concerning misapplications. (PP)

Data from student evaluations of a master's degree program (n=139, 45 percent response) are used to demonstrate four techniques: factor, correlational, discriminant, and multiple regression analysis. Their usefulness in identifying causal factors related to program quality is discussed. (SK)

This bibliography contains works that illustrate and apply multivariate statistical methods in the analysis of empirical data in the field of urban and regional planning. The bibliography has been designed for use by planning students and the professional planner. The first section of the bibliography lists some elementary and intermediate level…

This study was designed to investigate the impact that collective negotiations have had on teachers' salaries in Ohio; and the relationships between the incidence of work stoppages and the characteristics of Ohio school districts. Since the focus of this was twofold, it was found necessary to employ several statistical techniques to accomplish the…

Taxing situations that threaten the administrator's sense of self-efficacy meaningfully account for burnout in human-service professionals. This paper presents findings of a study that hypothesized that environmental or role stressors could be classified as task, organization, and relations stressors, each pertaining to a different domain of the…

The reliability, factor structure, and discriminatory power of faculty perceptions of the performance of departmental administrators were investigated, using the Administrator Evaluation Survey (AES) developed at the University of Illinois. Faculty from a major research university in the midwest, a smaller state university in the midwest, and a…