We used data simulations to test whether composites consisting of cohesive subtest scores are more accurate than composites consisting of divergent subtest scores. We demonstrate that when multivariate normality holds, divergent and cohesive scores are equally accurate. Furthermore, excluding divergent scores results in biased estimates of…

Multiple-group confirmatory factor analysis (MG-CFA) is among the most productive extensions of structural equation modeling. Many researchers conducting cross-cultural or longitudinal studies are interested in testing for measurement and structural invariance. The aim of the present paper is to provide a tutorial in MG-CFA using the freely…

When subscores on a test are reported to the test taker, the appropriateness of reporting them depends on whether they provide useful information above what is provided by the total score. Subscores that fail to do so lack adequate psychometric quality and should not be reported. There are several methods for examining the quality of subscores,…

Multilevel models are often used to evaluate hypotheses about relations among constructs when data are nested within clusters (Raudenbush & Bryk, 2002), although alternative approaches are available when analyzing nested data (Binder & Roberts, 2003; Sterba, 2009). The overarching goal of this article is to suggest when it is appropriate…

The present study examined the effects of attachment style and continuing bonds, defined as the extent to which a bereaved individual feels that the deceased remains a part of his/her life, on post bereavement adjustment among 71 conjugally bereaved individuals. It was shown that bereaved individuals with an anxious attachment style tended to show…

Interaction in the online learning environment has been regarded as one of the most critical elements that affect learning outcomes. This study examined what factors in learner-instructor interaction can predict the learner's outcomes in the online learning environment. Learners in K Online University participated by answering the survey, and data…

The purpose of this study was to use data from the National Longitudinal Transition Study-2 (NLTS2) to (a) conceptually identify and empirically establish student, family, and school constructs; (b) explore the degree to which the constructs can be measured equivalently across disability groups; and (c) examine latent differences (means,…

The purpose of this study was to longitudinally examine the relationship between father involvement in school settings and student achievement. The sample, pulled from the first and second waves of the PSID-CDS data set, consisted of 596 families with children aged 5-12 at time 1. Results revealed variations in the relationship between father…

Although Instant Messaging (IM) has established itself as one of the most popular modes of communication, little empirical research has explored how adolescents are affected by its use to satisfy their virtual interpersonal relationships. This research investigates cause and effect in the satisfaction of these relationships among adolescents in…

The purpose of this investigation was to examine the latent factor structure of the Coping With Problems Experienced (COPE) inventory, and to compare this structure to an imposed, culturally relevant latent structure with a sample of African Americans. The alternate, latent structure was derived from an Africentric framework, as well as from…

Negro migration patterns between 1955-60 appear to have been influenced by income, welfare payments, past employment growth, and population size, but not by unemployment. (BC)

Several advantages to the use of different kinds of factor scores as independent variables in a multiple regression equation are reported. A computer program is presented which will calculate a regression equation using a variety of factor scores. (Author/JKS)

The use of a strategy for determining the comparable common factors in a set of data are illustrated in this report. Both orthogonal and oblique derived solutions were obtained for each of several different initial factor methods. The results were compared across the various solutions and three types of factors were determined: comparable common…

This report describes a test of the robustness of factor-analytic methods in the face of various types of scale transformations on the data. Because of the complexities that would be involved in an exact analytical investigation, the tests were done with simulated sets of data having different factor structures. After factor analyzing the original…