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Peer reviewedBachman, Lyle F. – Annual Review of Applied Linguistics, 1988
Discusses three research/testing interfaces in second-language (L2) testing: the covariance structure analysis of ex post facto correlational data, the qualitative investigation of test-taking processes, and the development of L2 assessment instruments based on developmental sequences in L2 acquisition. (61 references) (GLR)
Descriptors: Language Proficiency, Language Research, Language Tests, Multivariate Analysis
Peer reviewedGames, Paul A. – Journal of Experimental Education, 1990
The logical flaw of using the methods of path analysis and structural equation modeling to make causative conclusions is demonstrated. A proper evaluation of the role of investigation versus experimentation is cited in the work of W. G. Cochran as explicated by D. R. Rubin (1983). (TJH)
Descriptors: Causal Models, Correlation, Experiments, Methods Research
Peer reviewedFinlay, Karen; Finlay, Thomas – Library Quarterly, 1996
Reports on a study of 101 Canadian librarians that tested individual differences important to enhanced use of the Internet. Analysis of covariance, hierarchical regression, and structural equation modeling provided evidence that technical and procedural knowledge had a significant influence on attitudes toward the Internet and the frequency of…
Descriptors: Analysis of Covariance, Foreign Countries, Individual Differences, Innovation
Peer reviewedKreindler, David M.; Lumsden, Charles J. – Journal of Experimental Child Psychology, 1994
Suggests that the ability to process narrative information is fundamental to understanding human psychological development. Notes that a culture's system of understanding and interpreting the world is carried mostly by stories and texts. Explores how narrative understanding can be modeled in Fuzzy Trace Theory by using the principles of this…
Descriptors: Cognitive Development, Language Processing, Learning Processes, Learning Theories
Peer reviewedSugawara, Hazuki M.; MacCallum, Robert C. – Applied Psychological Measurement, 1993
Alternative models for a large dataset were analyzed by asymptotically distribution-free, generalized least squares, maximum likelihood, and ordinary least squares estimation methods, comparing incremental and nonincremental fit indexes. Incremental methods were quite unstable across estimation methods. This phenomenon is explained. (SLD)
Descriptors: Estimation (Mathematics), Goodness of Fit, Least Squares Statistics, Maximum Likelihood Statistics
Peer reviewedGoffin, Richard D. – Multivariate Behavioral Research, 1993
Two recent indices of fit, the Relative Noncentrality Index (RNI) (R. P. McDonald and H. W. Marsh, 1990) and the Comparative Fit Index (P. M. Bentler, 1990), are shown to be algebraically equivalent in most applications, although one condition in which the RNI may be advantageous for model comparison is identified. (SLD)
Descriptors: Comparative Analysis, Equations (Mathematics), Evaluation Methods, Goodness of Fit
Peer reviewedSands, Deanna J.; Spencer, Karen C.; Gliner, Jeff; Swaim, Randall – Focus on Autism and Other Developmental Disabilities, 1999
Structural equation modeling was used to examine the relationship among student skills, family climate, and educational opportunities, and self-determination and student action in 237 secondary students with disabilities. Results indicate educational opportunities were related to student self-determination and action taking, with a lack of a…
Descriptors: Disabilities, Educational Opportunities, Family Environment, Secondary Education
Peer reviewedOlsson, Ulf Henning; Troye, Sigurd Villads; Howell, Roy D. – Multivariate Behavioral Research, 1999
Used simulation to compare the ability of maximum likelihood (ML) and generalized least-squares (GLS) estimation to provide theoretic fit in models that are parsimonious representations of a true model. The better empirical fit obtained for GLS, compared with ML, was obtained at the cost of lower theoretic fit. (Author/SLD)
Descriptors: Estimation (Mathematics), Goodness of Fit, Least Squares Statistics, Maximum Likelihood Statistics
Peer reviewedMelby, Janet M.; And Others – Journal of Marriage and the Family, 1995
Multiple observer ratings of 424 families were obtained across 2 observational task situations using the Iowa Family Interaction Rating Scales. Observer ratings and family member reports were assessed simultaneously through structural equation modeling. Findings support the reliability of the global assessments of warm/supportive marital…
Descriptors: Affective Behavior, Higher Education, Interpersonal Relationship, Interrater Reliability
Peer reviewedCheng, Eddie W. L.; Ho, Danny C. K. – Career Development International, 2001
Structural equation modeling was used to test a model's goodness of fit using data from 81 Hong Kong business graduates. The validated model demonstrated that career commitment is positively related to learning motivation and transfer. Suppression effect may explain the lack of relationship between job involvement and motivation/transfer.…
Descriptors: Foreign Countries, Identification (Psychology), Job Satisfaction, Learning Motivation
Peer reviewedCheung, Derek – Structural Equation Modeling, 2000
Applied structural equation modeling to the investigation of the second-order factors structure in student ratings of teaching effectiveness. Data from 2,021 distance education students show the presence of a single second-order factor, which serves as a general factor of teaching effectiveness. Discusses future research on higher-order factors…
Descriptors: College Students, Distance Education, Higher Education, Instructional Effectiveness
Peer reviewedMoulder, Bradley C.; Algina, James – Structural Equation Modeling, 2002
Used simulation to compare structural equation modeling methods for estimating and testing hypotheses about an interaction between continuous variables. Findings indicate that the two-stage least squares procedure exhibited more bias and lower power than the other methods. The Jaccard-Wan procedure (J. Jaccard and C. Wan, 1995) and maximum…
Descriptors: Comparative Analysis, Estimation (Mathematics), Hypothesis Testing, Least Squares Statistics
Herrero, Juan; Gracia, Enrique – Journal of Community Psychology, 2004
This article aims to examine determinants of social integration in the community among college students. Two-wave panel data from an undergraduate student sample (N = 310) was used to explore the effects of multiple sets of variables (personal, interpersonal, and situational) on social integration in the community. Structural equation analysis…
Descriptors: Undergraduate Students, Social Integration, Self Esteem, Structural Equation Models
Ashby, Jeffrey S.; Rice, Kenneth G. – Journal of Counseling & Development, 2002
The researchers in this study examined the association between adaptive and maladaptive dimensions of perfectionism and self-esteem. Confirmatory factor analysis and structural equations modeling were used to develop and test a model derived from theoretical links between perfectionism and self-esteem. Path models revealed that adaptive…
Descriptors: Personality Traits, Correlation, Path Analysis, Factor Analysis
Ghisletta, Paolo; Lindenberger, Ulman – Intelligence, 2005
Cross-sectional and longitudinal analyses of age-heterogeneous samples have revealed correlational links between and within intellectual, sensory, and sensorimotor domains. Due to basic limitations of cross-sectional designs and a reluctance to disentangle antecedent-consequent relations in longitudinal designs, the functional significance and…
Descriptors: Older Adults, Visual Acuity, Intelligence, Structural Equation Models

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