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Lee, Sik-Yum; Song, Xin-Yuan; Skevington, Suzanne; Hao, Yua-Tao – Structural Equation Modeling, 2005
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,…
Descriptors: Questionnaires, Quality of Life, Factor Analysis, Structural Equation Models
Peer reviewedRosen-Grandon, Jane R.; Myers, Jane E.; Hattie, John A. – Journal of Counseling and Development, 2004
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,…
Descriptors: Interaction, Structural Equation Models, Factor Analysis, Marital Satisfaction
Wicherts, Jelte M.; Dolan, Conor V. – Structural Equation Modeling, 2004
Information fit indexes such as Akaike Information Criterion, Consistent Akaike Information Criterion, Bayesian Information Criterion, and the expected cross validation index can be valuable in assessing the relative fit of structural equation models that differ regarding restrictiveness. In cases in which models without mean restrictions (i.e.,…
Descriptors: Goodness of Fit, Structural Equation Models, Factor Structure, Indexes
Martens, Matthew P. – Counseling Psychologist, 2005
Structural equation modeling (SEM) has become increasingly popular for analyzing data in the social sciences, although several broad reviews of psychology journals suggest that many SEM researchers engage in questionable practices when using the technique. The purpose of this study is to review and critique the use of SEM in counseling psychology…
Descriptors: Structural Equation Models, Counseling Psychology, Research Methodology, Data Analysis
Martens, Matthew P. – Counseling Psychologist, 2005
The four reactions in the May 2005 issue of "The Counseling Psychologist" address several considerations regarding the use of structural equation modeling (SEM) in counseling psychology research, including its appropriateness for analyzing one's data and testing one versus multiple theoretical models. In addition, points that are not mentioned in…
Descriptors: Models, Counseling Psychology, Structural Equation Models, Item Analysis
Dinauer, Leslie D.; Fink, Edward L. – Human Communication Research, 2005
Theories of attitude change have failed to identify the architecture of interattitudinal structures and relate it to attitude change. This article examines two models (a hierarchical and a spatial-linkage model) of interattitudinal structure that explicitly posit consequences for attitude change. An experiment (N=391) was conducted that…
Descriptors: Attitude Change, College Students, Structural Equation Models, Interpersonal Communication
Rotolo, Thomas; Wilson, John – Journal of Marriage and Family, 2006
Social scientists have documented the influence of family statuses on volunteering, ignoring intrafamily effects. Using newly issued data from the Current Population Survey on the volunteer behavior of 19,626 American couples, we test two competing theories concerning spousal influences on volunteering. Substitution theory predicts that spouses…
Descriptors: Spouses, Volunteers, Structural Equation Models, Interpersonal Relationship
Krijnen, Wim P. – Psychometrika, 2004
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…
Descriptors: Test Theory, Structural Equation Models, Factor Analysis, Prediction
Beier, Margaret E.; Ackerman, Phillip L. – Intelligence, 2004
This paper examines the relationship between span memory [e.g., immediate memory, short-term memory (STM), simple span] and general ability ("g") though a reanalysis of two data sets [Christal, R. E. (1959). "Factor analytic study of visual memory." "Psychological Monographs: General and Applied," 72 (13, Whole No. 466); Kelley, H.P. (1964).…
Descriptors: Short Term Memory, Intelligence, Ability, Synthesis
de Frias, Cindy M.; Dixon, Roger A. – Psychological Assessment, 2005
Recent research with the Memory Compensation Questionnaire (MCQ) has examined changes, functions, and correlates of compensatory strategy use in older adults. The twofold aim of this study was to test (a) the hypothesized structure of the MCQ and (b) structural equivalence across age, gender, and time. The 7-scale MCQ was designed to measure 5…
Descriptors: Measures (Individuals), Memory, Factor Structure, Structural Equation Models
Maydeu-Olivares, Albert – Psychometrika, 2006
Discretized multivariate normal structural models are often estimated using multistage estimation procedures. The asymptotic properties of parameter estimates, standard errors, and tests of structural restrictions on thresholds and polychoric correlations are well known. It was not clear how to assess the overall discrepancy between the…
Descriptors: Structural Equation Models, Multivariate Analysis, Correlation, Error of Measurement
Sharkey, Jill D.; You, Sukkyung; Schnoebelen, Katrina – Psychology in the Schools, 2008
Given the importance of student engagement for healthy outcomes, research needs to investigate whether school-based assets promote student engagement beyond individual and family influences. Unfortunately, such research has been limited by a lack of valid instrumentation. After examining the psychometrics of the California Healthy Kids Survey…
Descriptors: Research Needs, Structural Equation Models, Academic Achievement, Risk
Chen, Jennifer Jun-Li – School Psychology International, 2008
Researchers have long been interested in understanding factors affecting student achievement. To contribute new insights to the literature, this study investigated grade-level differences in the relationships of students' perceived academic support (from parents, teachers and peers) to academic achievement directly and also indirectly through…
Descriptors: Academic Achievement, Adolescents, Foreign Countries, Secondary School Students
Severiens, Sabine; Wolff, Rick – Studies in Higher Education, 2008
This article examines students from ethnic minorities and majorities with regard to the relationships between their social and academic integration and their quality of learning. A total of 523 students at four universities completed a questionnaire: analyses of variance were used to examine mean differences, and structural equation modelling…
Descriptors: Minority Groups, Integration Studies, Social Integration, Questionnaires
Lu, Irene R. R.; Thomas, D. Roland – Structural Equation Modeling: A Multidisciplinary Journal, 2008
This article considers models involving a single structural equation with latent explanatory and/or latent dependent variables where discrete items are used to measure the latent variables. Our primary focus is the use of scores as proxies for the latent variables and carrying out ordinary least squares (OLS) regression on such scores to estimate…
Descriptors: Least Squares Statistics, Computation, Item Response Theory, Structural Equation Models

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