Background: The marked degree of heterogeneity in persons with developmental dyslexia has motivated the investigation of possible subtypes. Attempts have proceeded both from theoretical models of reading and the application of unsupervised learning (clustering) methods. Previous cluster analyses of data obtained from persons with reading…

The main objectives of this article are to determine the prevalence of criminality among a sample of female African American drug users and to examine change in criminality over time, including the correlates associated with this change. Data were collected from 336 adult women who participated in an HIV risk-reduction intervention focused on the…

Although several antecedents of statistics anxiety have been identified, many of these factors are relatively immutable (e.g., gender) and, at best, identify students who are at risk for debilitative levels of statistics anxiety, thereby having only minimal implications for intervention. Furthermore, the few interventions that have been designed…

Recent research indicates that adjudicated female youth have higher rates of mental health problems and histories of trauma exposure and abuse relative to adjudicated male youth. These differences are important for gender-specific assessment, intervention, and management strategies. We replicated a subtyping strategy for adjudicated female youth…

Electrical engineering (EE) curricula in the Gulf Cooperation Council (GCC) region have gone through an evolutionary process, and are now approaching a maturity level. In order to address academic and local industrial needs in a unified way, a need has been felt to investigate EE curricula in a way that highlights theoretical understanding, design…

Most state inmates incarcerated under the jurisdiction of the New Jersey Department of Corrections are driven to crimes by drug abuse. Understanding the factors contributing to addiction is the first step in developing strategies for successful inmate reintegration. This study presents an analysis of inmate addiction and factor association using…

This study examined the effect of improvements in timing/rhythmicity on students' reading achievement. 86 participants completed pre- and post-test measures of reading achievement (i.e., Woodcock-Johnson III, Comprehensive Test of Phonological Processing, Test of Word Reading Efficiency, and Test of Silent Word Reading Fluency). Students in the…

This study used a person-oriented approach to examine links between adolescents' experiences with parents and peers. Cluster analysis classified 361, White, working- and middle-class youth (mean age = 12.16 years) based on mothers' and fathers' reports of parental acceptance and adolescents' reports of perceived peer competence. Three patterns…

Context: Rural communities, often with complex health care issues, have difficulty creating and sustaining an adequate health professional workforce. Purpose: To identify factors associated with rural recruitment and retention of graduates from a variety of health professional programs in the southwestern United States. Methods: A survey…

A Monte Carlo study was used to examine the Type I error rates of five multivariate tests for the single-factor repeated measures model. The performance of Hotelling's T-squared and four nonparametric tests, including a chi-square and an "F" test version of a rank-transform procedure, was investigated for different distributions, sample…

Statistical invariance procedures provide a way of looking at the generalizability of research results from sample to sample when the research has not been validated by replication. This paper discusses the Procrustean Rotation invariance procedure following a canonical correlation analysis. The computer program RELATE is used to gauge the…

New multivariate permutation tests are proposed that may be effectively substituted for Hotelling's T-Square test in situations commonly arising in educational research. The new tests: (1) are distribution-free; (2) provide tests of directional as well as non-directional hypotheses; (3) may be tailored for sensitivity to specific treatment…

It has been increasingly realized that (1) multivariate methods are essential in most quantitative studies (Fish, 1988; Thompson, 1992), and (2) all conventional parametric analytic methods are correlational and invoke least squares weights (e.g., the beta weights in regression) (Knapp, 1978; Thompson, 1991). The present paper reviews one very…

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…

Commonality analysis may be used as an adjunct to general linear methods as a means of determining the degree of predictive ability shared by two or more independent variables. For each independent variable, commonality analysis indicates how much of the variance of the dependent variable is unique to the predictor and how much of the predictor's…