This article compares two methods for analyzing small sets of repeated measures data under normal and non-normal heteroscedastic conditions: a mixed model approach with the Kenward-Roger correction and a multivariate extension of the modified Brown-Forsythe (BF) test. These procedures differ in their assumptions about the covariance structure of…

The main purpose of this study is to examine the content structure of the Multistate Bar Examination (MBE) using the "table of specifications" model from the perspective of multivariate generalizability theory. Specifically, using MBE data collected over different years (six administrations: three from the February test and three from July test),…

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…

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…

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…

Canonical correlation analysis is a powerful statistical method subsuming other parametric significance tests as special cases, and which can often best honor the complex reality to which most researchers wish to generalize. However, it has been suggested that the canonical correlation coefficient is positively biased. A Monte Carlo study…

This book looks at quantitative research methods in education. The book is structured to start with chapters on conceptual issues and designing quantitative research studies before going on to data analysis. While each chapter can be studied separately, a better understanding will be reached by reading the book sequentially. This book is intended…

Statistical methods are discussed for studying relations between two sets of variables, when each set contains more than one variable. (Author)

Presents several multivariate analyses of variance (MANOVA) test procedures. Discusses guidelines for choosing an overall MANOVA test statistic and post hoc tests that determine the dependent variable or variables responsible for any significant effects. Concludes that guidelines based on recent comparisons of the various test statistics be used.…

While research on self-regulated learning has been proliferating over the past decade, also within higher education settings, only very few studies apply the notion of self-regulated learning to teaching. We offer this exploratory study as a contribution to our understanding of the role of self-regulated learning in university instructors' growth…

Love is among the most fundamental aspects of the experience of being human. Achieving successful love relationships has been associated by counselors--both counseling theories and researchers--with good mental and good physical health. Yet our knowledge of the nature of love remains primitive, because until recently it was not considered…

Advantages of the use of multivariate commonality analysis are discussed and a small data set is used to illustrate the analysis and as a model to enable readers to conduct such an analysis. A noteworthy advantage of commonality analysis is that commonality honors the relationships among variables by determining the degree to which predictors in a…

A partial least squares method is described for estimating parameters of linear structural relation models. This method is an extension of Herman Wold's proposal for estimation parameters without distributional assumptions, using some algorithms worked out by Paul Horst. The method (LISPLS) determines a different number of latent variables from…