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…

Based on the assumption that a relationship exists between public county-based child welfare agencies in Pennsylvania and their environments, this study draws clues as to the nature of this relationship from (1) a review of the literature, and (2) a multivariate analysis of agency service delivery measures and social and demographic variables.…

Canonical-redundancy analyses were computed across the Profile of Mood States and the Eight State Questionnaire on a sample of 289 college undergraduates in order to estimate the degree of measurement overlap of the two multidimensional mood-state instruments. (Author/BS)

With the development of refined theory and increased measurement sophistication in family research, multidimensional concepts and multiple indicators are appearing in the literature. This paper provides a nonmathematical introduction to canonical correlation analysis and three empirical examples that demonstrate the technique's applicability in…

Reports on the results of a study of nontraditional undergraduate students that was conducted to determine whether self-directedness in learner profile was a predictor of computer anxiety. Analysis based on the Oddi Continuing Learning Inventory and Oetting's Computer Anxiety Scale (COMPAS) indicates that self-directedness is a useful predictor.…

The article uses confirmatory factor analysis (CFA) as a template to explain didactically multilevel structural equation models (ML-SEM) and to demonstrate the equivalence of general mixed-effects models and ML-SEM. An intuitively appealing graphical representation of complex ML-SEMs is introduced that succinctly describes the underlying model and…

This study examines factors related to three dimensions of parent involvement in preschool: school-based involvement, home-based involvement, and the parent-teacher relationship. Participants were 154 predominantly African American parents recruited from two Head Start programs. Results of bivariate and canonical correlation analyses support the…

It has been estimated that the most pressing problem in community mental health care clinics is dropout, defined as unilateral termination by the client without therapist approval. To clarify the nature of dropout patients, 133 outpatient records at a rural community mental health center were examined over a one year period. Variables expected to…

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…

Guidelines for articulation of a framework for practical application of proportional-hazards models (PHMs) to professional survival analysis are provided. Focus is on data analysis fitting the PHMs with the semi-parametric methods of partial likelihood; this strategy is available in the BMDP2L and SAS PROC PHGLM computer programs. Areas in which…

A non-linear version of redundancy analysis is introduced. The technique is called REDUNDALS. It is implemented within the computer program for canonical correlation analysis called CANALS. The REDUNDALS algorithm is of an alternating least square (ALS) type. The technique is defined as minimization of a squared distance between criterion…

Mentoring relationships from the mentors' point of view were surveyed. Using O'Neill's theory of mentoring, a Likert scale instrument was developed. Results indicated that mentors feel mentoring is important to them as well as to their students. In a multivariate multiple regression, age was a significant predictor of mentoring score. (Author/DWH)

A study was conducted at Antelope Valley College in California to explore the use of multiple measures in placement recommendations by examining variables potentially associated with success in writing, reading, and math courses. The study sample was all students who were assessed and enrolled in reading and writing courses in fall 1990, spring…

Canonical correlation analysis is a multivariate statistical model which facilitates the study of interrelationships among multiple dependent variables and multiple independent variables. It identifies components of one set of variables that are most highly related linearly to the components of the other set of variables. The underlying logic of…