This study used baseline data from the Southwest sample of the Latino Acculturation and Health Project to examine whether familism and cohesion are related to problem behaviors in a sample of Mexican and Mexican-American adolescents in the Southwest United States. This study is important to practitioners and prevention and intervention researchers…

The value of variance is emphasized, and the element of design, frequently not adequately understood, is clarified to underscore the importance of variance to the researcher. Two analytic methods, analysis of variance (ANOVA) and multiple regression, are discussed in terms of how each uses/applies variance. Advantages and major difficulties with…

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…

The stepwise regression method of selecting predictors for computer assisted multiple regression analysis was compared with forward, backward, and best subsets regression, using 16 data sets. The results indicated the stepwise method was preferred because of its practical nature, when the models chosen by different selection methods were similar…

Investigates the effect of sex, age, intelligence, and sex role flexibility on prosocial behavior among preschool children. Finds a significant and positive correlation between sex role flexibility and prosocial behavior among boys but not among girls. (FMW)

A dichotomous dependent variable is used to determine a combination of variables that will predict group membership. Dichotomous variables are frequently encountered in multiple regression analysis. However, several textbooks question the appropriateness of using multiple regression analysis when analyzing dichotomous dependent variables. The…

An empirical method called Predicted Error Sum of Squares (PRESS) is advanced and studied. This method is used to examine the cross-validated prediction accuracies of some popular algorithms for weighted predictor variables. The weighting methods that were considered were ordinary least squares, ridge regression, regression on principal…

This study used multiple regression analysis to relate computer user satisfaction to communication monitor (CM) variables. Results indicate the variables of user expectations, manufacturers, and vendors are most significant in affecting overall satisfaction, whereas number of systems represented and not using communication monitors have least…

This study examined the relationship between scholarly publication by faculty teaching in library and information science programs and 18 selected variables. Six variables were found to be predictors of faculty productivity: highest degree earned, size of faculty, years elapsed from bachelors's to highest degree, program type, prestige of program,…

Sixty-nine Israeli school principals completed questionnaires designed to reveal the factors contributing to the leadership styles they used when initiating curricular changes. The principals fell into three leadership categories: "Initiators," who seek change in accordance with long range policies and goals; "Responders," who…

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…

This study was undertaken to determine whether a significant correlation exists between the student's performance on the Advanced Placement (AP) Computer Science Examination and three factors: (1) mathematics scores on the Preliminary Scholastic Aptitude Test (PSAT); (2) a mathematics index score reflecting mathematics courses taken by the student…

Continues a previous five-year follow-up of preterm and full-term children by studying the continuity in their intellectual and emotional development. Prematurity was predictive for school adjustment at ages six and seven only when regression was performed on the preterm group, but failed to be predictive when mixed groups of preterm and full-term…

This research study examined 25 economic, demographic and social, financial, governance, and geographic variables in 39 large urban school districts in order to measure the variables' ability to (1) distinguish between school districts that were fiscally stressed and those which were not and (2) predict bond ratings of large urban school…

Maintains that the equal marginal value principle may not be optimal in the analysis of the cost-effectiveness of policies to reduce auto emissions, the economics of garbage disposal, and the economics of pollution abatement. Argues that examining these exceptions can help students understand the equal marginal value principle. (MJP)