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Fan, Xitao; Fan, Xiaotao – Structural Equation Modeling: A Multidisciplinary Journal, 2005
This article illustrates the use of the SAS system for Monte Carlo simulation work in structural equation modeling (SEM). Data generation procedures for both multivariate normal and nonnormal conditions are discussed, and relevant SAS codes for implementing these procedures are presented. A hypothetical example is presented in which Monte Carlo…
Descriptors: Monte Carlo Methods, Structural Equation Models, Simulation, Sample Size

Winstok, Zeev; Eisikovits, Zvi; Fishman, Gideon – Journal of Youth and Adolescence, 2004
The aim of this study was to present and initially test a model of escalation to verbal and physical aggression among Israeli youths. Stratified sampling was used to obtain data from 799 students in the 7th, 8th, and 9th grades of junior high schools in a northern Israeli city and its suburbs. A structural equation model (SEM) analysis confirmed…
Descriptors: Junior High Schools, Correlation, Conflict, Aggression
Bauer, Daniel J. – Structural Equation Modeling: A Multidisciplinary Journal, 2005
To date, finite mixtures of structural equation models (SEMMs) have been developed and applied almost exclusively for the purpose of providing model-based cluster analyses. This type of analysis constitutes a direct application of the model wherein the estimated component distributions of the latent classes are thought to represent the…
Descriptors: Structural Equation Models, Multivariate Analysis, Data Analysis, Evaluation Methods
Raykov, Tenko – Structural Equation Modeling: A Multidisciplinary Journal, 2003
A covariance structure modeling method to test equality in proportions explained variance in studied unobserved dimensions by means of latent predictors is outlined. The procedure is applicable with multiple-indicator, structural equation models where of interest is to compare the predictive power of sets of latent independent variables for given…
Descriptors: Error of Measurement, Structural Equation Models, Intervention, Cognitive Processes
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

Rosen-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
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
Diseth, Age – Studies in Higher Education, 2007
The purpose of this study was to investigate the relationship between course experience, students' approaches to learning, effort, ability and examination grade, and to examine aspects of construct validity in the present versions of the Course Experience Questionnaire and the Approaches and Study Skills Inventory for Students in a sample of 206…
Descriptors: Psychology, Grades (Scholastic), Study Skills, Construct Validity
Do Teachers' Own Learning Behaviors Influence Their Classroom Goal Orientation and Control Ideology?
Gordon, Scarlette C.; Dembo, Myron H.; Hocevar, Dennis – Teaching & Teacher Education: An International Journal of Research and Studies, 2007
This study explored the relationship between teachers' own learning behaviors and their teaching practices. Experienced teachers taking graduate courses responded to an instrument measuring their self-regulated learning as students and their teaching practices as indicated by how they conveyed the purpose of engaging in academic work (i.e., goal…
Descriptors: Goal Orientation, Classroom Techniques, Ideology, Teaching Methods