A review of syllabi for a sample of structural equation modeling courses

Structural Equation Modeling

Volumn 12, Issue 4, 2005, Pages 642-664

  Stapleton, Laura M ^a,b   Leite, Walter L ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^b UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COURSE CONTENTS; DESCRIPTIVE STATISTICS; GRADUATE COURSE; SOFTWARE USE; STATISTICAL TECHNIQUES; STRUCTURAL EQUATION MODELING; STUDENT LEARNING;

STATISTICAL METHODS;

CURRICULA;

EID: 32944478435     PISSN: 10705511     EISSN: None     Source Type: Journal    
DOI: 10.1207/s15328007sem1204_7     Document Type: Review

References (12)

1. Boomsma, A. (2000). Reporting analyses of covariance structures. Structural Equation Modeling, 7, 461-483.
2. Byrne, B. M. (1994). Structural equation modeling with EQS and EQS/Windows: Basic concepts, applications, and programming. Thousand Oaks, CA: Sage.
3. Byrne, B. M. (1998). Structural equation modeling with LISREL, PRELIS, and SIMPUS: Basic concepts, applications, and programming. Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
4. Byrne, B. M. (2001). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
5. Gillespie, D. F., Alsup, R., & Rubio, D. M. (1995). Structural equation modeling: An innovation for doctoral social work curricula. Journal of Social Work Education, 31, 219-228.
6. Hallén, L., Johanson, J., & Seyed-Mohamed, N. (1991). Interfirm adaptation in business relationships. Journal of Marketing, 55, 29-37.
7. Hershberger, S. L. (2003). The growth of structural equation modeling: 1994-2001. Structural Equation Modeling, 10, 35-46.
8. Hittner, J. B., & Carpenter, K. M. (1994). Theoretical and applied sources for teachers of structural equation modeling. Teaching of Psychology, 21, 179-181.
9. Hoyle, R. H., & Panter, A. T. (1995). Writing about structural equation models. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 158-176). Thousand Oaks, CA: Sage.
10. Plucker, J. A., & Quaglia, R. J. (1998). The student aspirations survey: Assessing student effort and goals. Educational and Psychological Measurement, 58, 252-257.
11. Wolfle, L. M. (2000). Sewall Wright on the method of path coefficients: An annotated bibliography. Structural Equation Modeling, 6, 280-291.
12. Wolfle, L. M. (2003). The introduction of path analysis to the social sciences, and some emergent themes: An annotated bibliography. Structural Equation Modeling, 10, 1-34.