While most studies have focused primarily on the correlates of career barriers, research examining specific career barrier typology experienced among college students remains limited. Employing cluster analysis, this study explored the career barrier typology of 318 college students using the Korean college students' Career Barrier Inventory…

Objective: Cluster analysis was used to enhance understanding of heterogeneity in social adjustment of physically abused children. Method: Ninety-eight physically abused children (ages 5-10) were clustered on the basis of social adjustment, as measured by observed behavior with peers on the school playground and by teacher reports of social…

Nagging is a persuasive tactic yet to be fully explored in instructional communication. Nagging involves an exchange in which a student makes persistent requests of an instructor who fails to comply. The purpose of the study was to examine student nagging behavior and, specifically, to examine nagging as a potentially face threatening act as part…

This study examined dimensions of mothers' and fathers' involvement in adolescents' romantic relationships when offspring were age 17. Using cluster analysis, parents from 105 White, working and middle class families were classified as positively involved, negatively involved, or autonomy-oriented with respect to their adolescents' romantic…

Turkish and Russian immigrants are the two largest groups of immigrants in Germany, but there are some important differences regarding their legal status. Although most of the Turkish adolescents were born in Germany, few of them have German citizenship. In contrast, most of the Russian youths were born outside Germany, but they mostly possess…

This study examined risk and protective factors among a sample of 157 youths between grades and 8 who resided in three urban public housing developments. The relationship between identified patterns of risk and protection and educational and behavioral outcomes was assessed. Indicators of risk and protection were based on an ecological and…

Background: Older adults with Intellectual Disabilities (ID) have an excess disease burden that standard health assessments are designed to detect. Older adults with ID have a broader concept of health with dimensions of well being in addition to absence of disease in line with the World Health Organization's health definition. We sought to…

In General Linear Model (GLM) analyses, it is important to interpret structure coefficients, along with standardized weights, when evaluating variable contribution to observed effects. Although often used in canonical correlation analysis, structure coefficients are less frequently used in multiple regression and several other multivariate…

When approximately the same amount of variance can be reproduced with a larger variable set and a smaller variable set, researchers should generally choose the smaller variable set. The smaller set is a more parsimonious solution, and is therefore more likely to be true and replicable. Since true stepwise methods are not useful for variable…

Applying commonality analysis to canonical correlation analysis is part of a trend toward the use of multivariate statistical methods enhanced by the ease of computation provided by computer software. Several recent papers have discussed canonical commonality analysis. This paper summarizes developments in the field and uses a data set to…

This paper illustrates how canonical correlation analysis can be used to implement all the parametric tests that canonical methods subsume as special cases. The point is heuristic: all analyses are correlational, apply weights to measured variables to create synthetic variables, and require the interpretation of both weights and structure…

Canonical correlation analysis is a parsimonious way of breaking down the association between two sets of variables through the use of linear combinations. As a result of the analysis, many types of coefficients can be generated and interpreted. These coefficients are only considered stable and reliable if the number of subjects per variable is…

Discusses a class of four simultaneous component models for the explanatory analysis of multivariate time series collected from more than one subject simultaneously. Shows how the models can be ordered hierarchically and illustrates their use through an empirical example. (SLD)

Describes flexible measures that relax restrictive conditional independence assumptions of latent class analysis. Dichotomous and ordered category manifest variables are viewed as discretized latent continuous variables. Discusses the relationship between the multivariate probit model proposed and the mixed Rasch model of J. Rost (1991). (SLD)

Presents permutation procedures that jointly test for differences in location and scale among treatments in a completely randomized experimental design. Also considers extensions to multivariate data and provides efficient alternative permutation tests. (SLD)