Over the past decade, but especially in the past few years, programs with a "promise" label have been advanced at the local, state, and federal levels. To advance understanding of the design, implementation, and impact of the many different versions of emerging programs, policymakers, practitioners, and researchers need an organizing…

Methods of regression commonality analysis are generalized for use in canonical correlation analysis. An actual data set (involving educators' attitudes toward death and age, locus of control, religion, and occupational role in working with terminally ill children) is employed to illustrate the extension. The method can be applied with respect to…

This paper examines some of the problems that arise when conducting multivariate analyses with incomplete data. The literature on the effectiveness of several missing data procedures (MDP) is summarized. The most widely used MDPs are: (1) listwise deletion; (2) pairwise deletion; (3) variable mean; (4) correlational methods. No MDP should be used…

The overidentification of structural equation models with latent variables is discussed. The use of two- and three-indicator models is not recommended since such models do not allow a testing of the crucial assumption of unidimensionality among indicators in most cases. Models with four or more indicators may be more sensitive to departures from…

A growing controversy surrounds the strict interpretation of statistical significance tests in social research. Statistical significance tests fail in particular to provide estimates for the stability of research results. Methods that do provide such estimates are known as invariance or cross-validation procedures. Invariance analysis is largely…

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…

Multivariate methods were used to identify between-set factors relating the criterion set of eleven Wechsler Adult Intelligence Scale Revised subtest variables to the predictor set of demographic variables: age, race, sex, education, occupation, geographic region, and urban versus rural residence. Although factor analysis is usually used to…

Examines the effects of variables associated with the onset of a depressive episode on a group of 942 psychoactive drug-using young adults. Finds that controls were free of depressive symptoms but that methaqualone users were more prone to a depressed mood, lower self-esteem, and negative life events than nonusers. (FMW)

The relationships between a diverse set of individual difference, demographic, and aptitude variables; and a set of student attitudes and behaviors pertinent to experiences in large lecture classes were examined. The sample was 4300 students enrolled in 33 lecture classes at a large university. The relationship between the set of individual…

A study used a multivariate approach to assessing college departmental excellence. Factor analysis identified three potentially useful factor clusters ("faculty research,""input," and "student") and seven indicators based on those clusters. Indicators combining faculty research and input and combining all three clusters were found to be the best…

Kohn's work on the relationship between social class and parental values was expanded by searching for value dimensions other than Kohn's self-direction/conformity construct and by investigating three aspects of social structure: immigrant status, quality of neighborhood, and housing type. Data were collected from parents of 305 9- to 11-year-old…

A study identified the variables affecting the vocational choice of college women. During the research project, a 97-item instrument entitled the Work Interest Questionnaire (WIQ) was developed and administered to 437 undergraduate female students enrolled at a large Midwestern university. The subjects were selected based on their varying fields…

Discussion of variables that affect successful completion of external degree programs focuses on a study that investigated the association between learning style and persistence among students from the University of Wisconsin System Extended Degree Programs. Literature on distance education is reviewed, and results of the study are analyzed. (35…

This study attempts to integrate and extend previous research by multivariate investigation to determine multidimensional relationships among both the Wechsler Adult Intelligence Scale-Revised (WAIS-R) subscales and the demographic variables for the 1981 WAIS-R standardization sample. Canonical correlation with orthogonal rotation of composite…

Review of a research study designed to determine the relationship between participation in supervisory training and managerial performance focuses on the importance of adequate evaluation. Dependent and independent variables used are described, statistical analyses are explained, and implications for future research design are presented. (LRW)