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Kim, Se-Kang; Davison, Mark L. – 2000
This study described an explicit multidimensional scaling (MDS) model for profile data, the Profile Analysis via Multidimensional Scaling (PAMS) model. It also illustrated the application of this model to the study of the structure of cognitive ability patterns using the Woodcock-Johnson Psychoeducational Battery-Revised (WJPB-R; 1989; 1991) and…
Descriptors: Adults, Cognitive Ability, Factor Analysis, Factor Structure
Peer reviewedDuncan, Terry E.; Duncan, Susan C.; Li, Fuzhong – Structural Equation Modeling, 1998
Presents an application of latent growth curve methodology to the analysis of longitudinal developmental change in alcohol consumption of 586 young adults, illustrating three approaches to the analysis of missing data: (1) multiple-sample structural equation modeling procedures; (2) raw maximum likelihood analyses; and (3) multiple modeling and…
Descriptors: Algorithms, Change, Comparative Analysis, Drinking
Peer reviewedPapa, Frank J.; And Others – Structural Equation Modeling, 1997
Chest pain was identified as a specific medical problem space, and disease classes were modeled to define it. Results from a test taken by 628 medical residents indicate a second-order factor structure that suggests that chest pain is a multidimensional problem space. Implications for medical education are discussed. (SLD)
Descriptors: Classification, Clinical Diagnosis, Factor Structure, Knowledge Level
Peer reviewedHong, Sehee; Malik, Mary L.; Lee, Min-Kyu – Educational and Psychological Measurement, 2003
Used latent means analysis in the framework of structural equation modeling to explore the factor structure and gender differences associated with the Personal Style Inventory (PSI; C. Robins and others, 1994) with 508 Korean undergraduates. Results support the cross-cultural stability of the PSI factor structure. Women had higher scores than men…
Descriptors: Cross Cultural Studies, Factor Structure, Foreign Countries, Higher Education
Peer reviewedHolbert, R. Lance; Stephenson, Michael T. – Human Communication Research, 2002
Notes that structural equation modeling (SEM) is a viable multivariate tool used by communication researchers for the past quarter century. Summarizes the use of this technique from 1995-2000 in 37 communication-based academic journals. Identifies and critically assesses 3 unique methods for testing structural relationships via SEM in terms of the…
Descriptors: Communication (Thought Transfer), Communication Research, Higher Education, Multivariate Analysis
Peer reviewedMarcus, David K.; Kashy, Deborah A. – Journal of Counseling Psychology, 1995
Applies the social relations model (SRM), designed to analyze nonindependent data, as a solution for studying the ways in which group members interrelate and influence one another that avoids some of the data analysis problems indigenous to group psychotherapy research. Discusses examples of applications of SRM to previously inaccessible research…
Descriptors: Context Effect, Group Counseling, Group Dynamics, Group Therapy
Peer reviewedSilberg, Judy L.; And Others – Journal of Consulting and Clinical Psychology, 1994
Applied structural equation modeling to twin data to assess impact of genetic and environmental factors on children's behavioral and emotional functioning. Applied models to maternal ratings of behavior of 515 monozygotic and 749 dizygotic twin pairs. Importance of genetic, shared, and specific environmental factors for explaining variation was…
Descriptors: Adolescents, Behavior Problems, Children, Emotional Problems
Peer reviewedRice, Kenneth G.; Ashby, Jeffrey S.; Slaney, Robert B. – Journal of Counseling Psychology, 1998
The association between adaptive and maladaptive dimensions of perfectionism was examined in relation to self-esteem and depression. Confirmatory factor analysis was used to develop and assess the measurement model used. A mediation model was tested with structural equations. Two perfectionism factors were found and outcomes distinguished by path…
Descriptors: College Students, Counseling Psychology, Depression (Psychology), Higher Education
Peer reviewedRowe, Kenneth J.; Hill, Peter W. – Educational Research and Evaluation (An International Journal on Theory and Practice), 1998
Illustrates an approach to modeling educational effectiveness in classrooms by combining multilevel analysis and structural equation modeling in a two-step process. Data from a longitudinal study of 4,558 students in 334 class groups show how progress can be accounted for by the grouping effects of students within classes and schools. (SLD)
Descriptors: Elementary Education, Elementary School Students, Grouping (Instructional Purposes), Instructional Effectiveness
Peer reviewedBentler, Peter M.; Yuan, Ke-Hai – Multivariate Behavioral Research, 1999
Studied the small sample behavior of several test statistics based on the maximum-likelihood estimator but designed to perform better with nonnormal data. Monte Carlo results indicate the satisfactory performance of the "F" statistic recently proposed by K. Yuan and P. Bentler (1997). (SLD)
Descriptors: Estimation (Mathematics), Maximum Likelihood Statistics, Monte Carlo Methods, Sample Size
Peer reviewedFerrando, Pere J. – Structural Equation Modeling, 2000
Discusses a procedure for testing the equivalence among different item response formats used in personality and attitude measurement. The procedure is based on the assumption that latent response variables underlie the observed item responses. It uses a nested series of confirmatory factor analysis models based on K. Joreskog's (1971) method for…
Descriptors: Attitude Measures, Correlation, Item Response Theory, Personality Assessment
Peer reviewedDarkes, Jack; Greenbaum, Paul E.; Goldman, Mark S. – Psychological Assessment, 1998
Used structural equation modeling to examine factor structure and predictive validity of the Disinhibition subscale of the Sensation Seeking Scales (DIS) with drinking in 1,217 undergraduates. A three-factor model provided the best fit; prediction of drinking varied with intrinsic levels of alcohol relatedness. The relationship between…
Descriptors: Alcohol Abuse, Factor Structure, Higher Education, Predictive Validity
Peer reviewedKnopik, Valerie S.; Defries, John C. – Intelligence, 1998
To study whether individual differences in general cognitive ability differ in males and females, full-scale IQ data from 426 child twin pairs were fitted to a structural equation model of sex limitation. Individual differences in general cognitive ability appear to be substantially due to common genetic influences in males and females. (SLD)
Descriptors: Biological Influences, Cognitive Ability, Genetics, Individual Differences
Peer reviewedFouladi, Rachel T. – Structural Equation Modeling, 2000
Provides an overview of standard and modified normal theory and asymptotically distribution-free covariance and correlation structure analysis techniques and details Monte Carlo simulation results on Type I and Type II error control. Demonstrates through the simulation that robustness and nonrobustness of structure analysis techniques vary as a…
Descriptors: Analysis of Covariance, Correlation, Monte Carlo Methods, Multivariate Analysis
Peer reviewedYang, Baiyin – International Journal of Lifelong Education, 1998
A longitudinal model of participation in adult education was tested with a national sample and assessed via structural-equation modeling. The supported model shows that participation is a social phenomenon embedded in adult development. Socioeconomic status and educational experience have significant effects; attitudes toward education are…
Descriptors: Adult Education, Adults, Educational Attitudes, Educational Experience


