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Peer reviewedBurkholder, Gary J.; Harlow, Lisa L. – Structural Equation Modeling, 2003
Tested a model of HIV behavior risk, using a fully cross-lagged, longitudinal design to illustrate the analysis of larger structural equation models. Data from 527 women who completed a survey at three time points show excellent fit of the model to the data. (SLD)
Descriptors: Acquired Immunodeficiency Syndrome, At Risk Persons, Females, Longitudinal Studies
Peer reviewedHarlow, Lisa L.; Burkholder, Gary J.; Morrow, Jennifer A. – Structural Equation Modeling, 2002
Used a structural modeling approach to evaluate relations among attitudes, initial skills, and performance in a Quantitative Methods course that involved students in active learning. Results largely confirmed hypotheses offering support for educational reform efforts that propose actively involving students in the learning process, especially in…
Descriptors: Active Learning, Attitudes, Higher Education, Mathematics
Peer reviewedConway, Neil; Briner, Rob B. – Journal of Vocational Behavior, 2002
Analysis of psychological contract variables (affective and continuance commitment, intention to quit, well-being, job satisfaction, organizational citizenship behavior)was conducted on two samples: 1,608 banking employees (71% part time) and 366 supermarket employees (65% part time). Part- and full-time workers had different attitudes; fulfilment…
Descriptors: Employment Level, Job Satisfaction, Part Time Employment, Structural Equation Models
Peer reviewedDing, Cody S.; Hershberger, Scott L. – Structural Equation Modeling, 2002
Describes an alternative approach to assessing content validity and content equivalence in terms of item-content structures and content area constructs. Results from applying structural equation modeling to item-response data from two Regents College examinations to verify content constructs suggest the different degrees of inconsistency and bias…
Descriptors: Content Validity, Item Response Theory, Standardized Tests, Structural Equation Models
Peer reviewedDuncan, Terry E.; And Others – Applied Psychological Measurement, 1994
An example application of latent growth methodology used to analyze developmental change in adolescent alcohol consumption is presented. Findings are discussed with reference to the utility of latent growth curve models for assessing developmental processes of both the inter- and intra-individual level across a variety of behavioral domains. (SLD)
Descriptors: Adolescents, Behavior Patterns, Change, Drinking
Peer reviewedMcDonald, Roderick P.; Hartmann, Wolfgang M. – Multivariate Behavioral Research, 1992
An algorithm for obtaining initial values for the minimization process in covariance structure analysis is developed that is more generally applicable for computing parameters connected to latent variables than the currently existing ones. The algorithm is formulated in terms of the RAM model but can be extended. (SLD)
Descriptors: Algorithms, Correlation, Equations (Mathematics), Estimation (Mathematics)
Peer reviewedPentz, Mary Ann; Chou, Chih-Ping – Journal of Consulting and Clinical Psychology, 1994
Used empirical example of longitudinal experimental prevention study with two groups to illustrate use of structural equation modeling, first, to systematically test measurement invariance across groups at each wave of measurement, and second, after establishing measurement invariance, to test structural invariance longitudinally. (Author/NB)
Descriptors: Change, Data Analysis, Individual Development, Longitudinal Studies
Peer reviewedDuncan, Terry E.; Alpert, Anthony; Duncan, Susan C. – Structural Equation Modeling, 1998
An analysis of sibling data from the National Youth Survey shows the pitfalls of ignoring issues of independence and demonstrate how conventional covariance structure software can be easily adapted to handle hierarchical models, providing a new approach that models within-level and between-level covariance matrices in familial antisocial behavior.…
Descriptors: Antisocial Behavior, Computer Software, Matrices, National Surveys
Peer reviewedSteiger, James H. – Structural Equation Modeling, 2000
Discusses two criticisms raised by L. Hayduk and D. Glaser of the most commonly used point estimate of the Root Mean Square Error (RMSEA) and points out misconceptions in their discussion. Although there are apparent flaws in their arguments, the RMSEA is open to question for several other reasons. (SLD)
Descriptors: Error of Measurement, Estimation (Mathematics), Factor Analysis, Hypothesis Testing
Peer reviewedParshall, Cynthia G.; Houghton, Pansy Du Bose; Kromrey, Jeffrey D. – Journal of Educational Measurement, 1995
Sample sizes (n=15, 25, 50, 100) were examined (1,000 times each) with replacement from each of 5 data files from teacher subject test areas to compare statistical bias and standard error. Trivial levels of equating bias were present with small samples, and substantial increases in standard errors were found as the sample size decreased. (MAK)
Descriptors: Error of Measurement, Sample Size, Statistical Analysis, Statistical Bias
Peer reviewedSivo, Stephen A.; Willson, Victor L. – Journal of Experimental Education, 1998
Critiques H. W. Marsh and K.-T. Hau's (1996) assertion that parsimony is not always desirable when assessing model-fit on a particular counterexample drawn from Marsh's previous research. This counterexample is neither general nor valid enough to support such a thesis and it signals an oversight of extant, stochastic models justifying correlated…
Descriptors: Correlation, Error of Measurement, Goodness of Fit, Statistical Studies
Peer reviewedHoyle, Rick H. – Journal of Experimental Education, 1998
In response to H. W. Marsh and K.-T. Hau's (1996) article on the potential for inferential errors when parsimony is rewarded in the evaluation of overall fit of structural equation models, a design-sensitive adjustment to the standard parsimony ratio is proposed. This ratio renders a more reasonable upper bound than does the standard parsimony…
Descriptors: Correlation, Error of Measurement, Goodness of Fit, Statistical Studies
Peer reviewedDolan, Conor V.; van der Maas, Han L. J. – Psychometrika, 1998
Discusses fitting multivariate normal mixture distributions to structural equation modeling. The model used is a LISREL submodel that includes confirmatory factor and structural equation models. Two approaches to maximum likelihood estimation are used. A simulation study compares confidence intervals based on the observed information and…
Descriptors: Goodness of Fit, Maximum Likelihood Statistics, Multivariate Analysis, Simulation
Peer reviewedNevitt, Jonathan; Hancock, Gregory R. – Journal of Experimental Education, 2000
Studied incorporating adjusted model fit information into the root mean square error of approximation fit index (RMSEA). Monte Carlo simulation results show that incorporating robust information into the RMSEA may yield improved performance for assessing model fit under nonnormal data situations. (SLD)
Descriptors: Error of Measurement, Goodness of Fit, Monte Carlo Methods, Structural Equation Models
Peer reviewedNeuman, George A.; Bolin, Aaron U.; Briggs, Thomas E. – Educational and Psychological Measurement, 2000
Tested J. Gustafsson's second-order factor model of intelligence (1984) through structural equation modeling using the Ball Aptitude Battery (BAB). Results for 1,390 adults and high school seniors indicate that the factor structure of the BAB is consistent with Gustafsson's model. (SLD)
Descriptors: Adults, High School Students, High Schools, Intelligence


