We propose a functional version of extended redundancy analysis that examines directional relationships among several sets of multivariate variables. As in extended redundancy analysis, the proposed method posits that a weighed composite of each set of exogenous variables influences a set of endogenous variables. It further considers endogenous…

Introduction: The stability of the achievement goal orientation across different contexts has been a source of further research since the new millennium. Through theoretically-driven and empirically-based analyses, this study investigated the psychometric properties of the Elliot and McGregor 2x2 framework for achievement goal questionnaire within…

The purpose of this study was to advance measurement of sexual identity management for lesbian, gay, and bisexual workers. Psychometric properties of a revised version of the Workplace Sexual Identity Management Measure (WSIMM; Anderson, Croteau, Chung, & DiStefano, 2001) were examined on a sample of 64 predominantly White K-12 teachers.…

The types of difficulties associated with career attitudes were studied using Super's model of career maturity (1990) in a group of 620 Portuguese students from grades 9 and 12. A cluster analysis identified four styles with different patterns of association between time perspective, attributional beliefs, self-esteem and career attitudes. The…

Introduction: The main goal of this study is to evaluate the psychometric and assessment features of the Scale for the "Assessment of the Teaching-Learning Process, Student Version" (ATLP-S), for both practical and theoretical reasons. From an applied point of view, this self-report measurement instrument has been designed to encourage…

The Danger Assessment (DA) is an instrument designed to assess the likelihood of lethality or near lethality occurring in a case of intimate partner violence. This article describes the development, psychometric validation, and suggestions for use of the DA. An 11-city study of intimate partner femicide used multivariate analysis to test the…

The frequencies of "m" independent "p-way" contingency tables are analyzed by a model that assumes that the ordinal category data in each of "m" groups are generated from a latent continuous multivariate normal distribution. The model permits analysis of several groups of individuals simultaneously. (TJH)

One theoretical feature that makes item response theory (IRT) models those of choice for many psychometric data analysts is parameter invariance, the equality of item and examinee parameters from different examinee populations or measurement conditions. In this article, using the well-known fact that item and examinee parameters are identical only…

Use of internal correlation for statistical analysis--as proposed by G. W. Joe and J. L. Mendoza (1989)--is discussed. Use of the bootstrap technique to deal with the distributional problem is questioned. Joe and Mendoza attempt the interpretation of the two linear composites that produce the largest internal correlation. (TJH)

The use of internal correlation for statistical analysis, as proposed by G. W. Joe and J. L. Mendoza (1989), is discussed. The suggestion of using bootstrapping is received well. Applications to collinearity are suggested. (TJH)

Lazraq and Cleroux (Psychometrika, 2002, 411-419) proposed a test for identifying the number of significant components in redundancy analysis. This test, however, is ill-conceived. A major problem is that it regards each redundancy component as if it were a single observed predictor variable, which cannot be justified except for the rare…

Recently, nonparametric methods have been proposed that provide a dimensionally based description of test structure for tests with dichotomous items. Because such methods are based on different notions of dimensionality than are assumed when using a psychometric model, it remains unclear whether these procedures might lead to a different…

Three important methods areas of multivariate analysis that are not always thought of in terms of latent variable constructs, but for which latent variable modeling can be used to great advantage, are discussed. These methods are: (1) random coefficients describing individual differences in growth; (2) unobserved variables corresponding to missing…

The internal correlation--a measure of dependency in a set of variables--is discussed and generalized. Applications of the internal correlation coefficient and its generalizations are given for several data-analytic situations. The internal correlation is illustrated and the concept is expanded to a series of additional indices. (TJH)

Use of internal correlation for statistical analysis--proposed by G. W. Joe and J. L. Mendoza (1989)--is discussed. Focus is on the "content" question (what this application can do with the information that statistics contain) and the "eloquence" question (the advantages of this means of encoding information over other means). (TJH)