The use of an independent clusters basis for restricted factor analysis can be recommended in cases where the known structure of a subset of variables serves to determine the structure of the remaining variables in the set. A comparison of this technique with an appropriate form of restricted factor analysis is illustrated on a large set of…

The authors report on the development and assessment of an instrument to measure baseline campus cigarette use and outcomes from prevention programs, including those using a social norms approach combined with environmental policy change. They administered the 37-item College Tobacco Survey (CTS) to a convenience sample of 1,279 college students…

The new correlated 8-factor measurement structure of the Child Behavior Checklist for ages 6-18 (CBCL/6-18; T. M. Achenbach & L. A. Rescorla, 2001) derived from an American sample was used as a benchmark to evaluate its generalizability to Turkish general population (N = 5, 195) and clinical (N = 963) samples. Item-level confirmatory factor…

Purpose: The objective of this study is to develop an instrument to evaluate satisfaction with care for older adults in capitated environments. Although satisfaction with care is now widely accepted as an important outcome measure, there are relatively few satisfaction measures developed or validated on older persons. Because many older persons…

Quality of life (QOL) has become an important concept for health care. As QOL is a multidimensional concept that is best evaluated by a number of latent constructs, it is well recognized that latent variable models, such as exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are useful tools for analyzing QOL data. Recently,…

Structural Equation Modeling techniques were used to clarify the relationship between marital characteristics, marital processes, and the dependent variable--marital satisfaction--in a sample of 201 participants who were in 1st marriages. The Dyadic Adjustment Scale (DAS; G. B. Spanier, 1976) and the Enriching and Nurturing Relationship Issues,…

High stress is known to affect health, but stress impact, determined by events and responses to them, has not been studied systematically. For the Salient Stressor Impact Questionnaire (SSIQ), the impact of events was assumed to depend on their salience and chronicity and the impact of responses on their chronicity and intensity with greater…

This study examines the factor structure of scores on the English-language version of the Structure of Temperament Questionnaire. Scores from 300 college students were subjected to maximum-likelihood confirmatory factor analyses (CFA). A first-order model consisting of eight correlated factors and a second-order model consisting of two…

Treating Likert rating scale data as continuous outcomes in confirmatory factor analysis violates the assumption of multivariate normality. Given certain requirements pertaining to the number of categories, skewness, size of the factor loadings, and so forth, it seems nevertheless possible to recover true parameter values if the data stem from a…

Although hypochondriasis is associated with the costly use of unnecessary medical resources, this mental health problem remains largely neglected. A lack of clear conceptual models and valid measures has impeded accurate assessment and hindered progress. The Multidimensional Inventory of Hypochondriacal Traits (MIHT) addresses these deficiencies…

The present study is a preliminary investigation into the development of a parent self-report instrument, the Juvenile Offender Parent Questionnaire (JOPQ). A large pool of items was rationally derived from a model of parent competency and then administered to 243 parents of children who were making appearances in juvenile court. Exploratory…

A key feature of the analysis of three-way arrays by Candecomp/Parafac is the essential uniqueness of the trilinear decomposition. We examine the uniqueness of the Candecomp/Parafac and Indscal decompositions. In the latter, the array to be decomposed has symmetric slices. We consider the case where two component matrices are randomly sampled…

The purpose of this study was to investigate and compare the performance of a stepwise variable selection algorithm to traditional exploratory factor analysis. The Monte Carlo study included six factors in the design; the number of common factors; the number of variables explained by the common factors; the magnitude of factor loadings; the number…

In many instances it is reasonable to assume that the population covariance matrix has positive elements. This assumption implies for the single factor analysis model that the loadings and regression weights for best linear factor prediction are positive. For the multiple factor analysis model where each variable loads on a single factor and a…

An alternative formulation of the multigroup common factor model with minimal uniqueness constraints is considered. This alternative formulation is based on a simple identification constraint that is related to the standard maximum likelihood constraint used in single-group common factor analysis. It is argued that the alternative formulation…