Structural equation modeling in pediatric psychology: Overview and review of applications

Journal of Pediatric Psychology

Volumn 33, Issue 7, 2008, Pages 679-687

  Nelson, Timothy D ^a   Aylward, Brandon S ^a   Steele, Ric G ^a  

^a UNIVERSITY OF KANSAS   (United States)

Author keywords

Pediatric psychology; Research methods; SEM; Structural equation modeling

Indexed keywords

CHILD PSYCHOLOGY; INTERVENTION STUDY; MEDICAL RESEARCH; REVIEW; STRUCTURAL EQUATION MODELING; THEORETICAL MODEL;

BIBLIOMETRICS; CHILD; CHILD PSYCHOLOGY; HUMANS; MODELS, STATISTICAL; RESEARCH; RESEARCH DESIGN;

EID: 46849107517     PISSN: 01468693     EISSN: 1465735X     Source Type: Journal    
DOI: 10.1093/jpepsy/jsm107     Document Type: Review

References (51)

1. Audrain-McGovern, J., Rodriguez, D., Tercyak, K., Neuner, G., & Moss, H. B. (2006). The impact of self-control indices on peer smoking and adolescent smoking progression. Journal of Pediatric Psychology, 31, 139-151.
2. Bentler, P. M., & Stein, J. A. (1992). Structural equation models in medical research. Statistical Methods in Medical Research, 1, 159-181.
3. Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley.
4. Brown, K. J., & Roberts, M. C. (2000). Future issues in pediatric psychology: Delphic survey. Journal of Clinical Psychology in Medical Settings, 7, 5-15.
5. Bryne, B. M. (2001). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Mahwah, NJ: Lawrence Erlbaum.
6. Clay, D. L., Mordhorst, M.J., & Lehn, L. (2002). Empirically supported treatments in pediatric psychology: Where is the diversity? Journal of Pediatric Psychology, 27, 325-337.
7. Cnann, A., Laird, N. M., & Slasor, P. (1997). Using the general linear mixed model to analyze unbalance repeated measures and longitudinal data. Statistics in Medicine, 16, 2349-2380.
8. Cole, D. A., & Maxwell, S. E. (2003). Testing mediational models with longitudinal data: Questions and tips in the use of structural equation modeling. Journal of Abnormal Psychology, 112, 558-577.
9. Crowley, S. L., & Fan, X. (1997). Structural equation modeling: Basic concepts and applications in personality assessment research. Journal of Personality Assessment, 68, 508-531.
10. Curran, P. J., & Hussong, A. M. (2003). The use of latent trajectory models in psychopathology research. Journal of Abnormal Psychology, 112, 526-544.
11. DeLucia, C., & Pitts, S. C. (2006). Applications of individual growth curve modeling for pediatric psychology research. Journal of Pediatric Psychology, 31, 1002-1023.
12. DeShon, R. P. (1998). A cautionary note on measurement error corrections in structural equation models. Psychological Methods, 3, 412-423.
13. Eiser, C., Hill, J. J., & Vance, Y. H. (2000). Examining the psychological consequences of surviving childhood cancer: Systematic review as a research method in pediatric psychology. Journal of Pediatric Psychology, 25, 449-460.
14. Hancock, G. R., Kuo, W., & Lawrence, F. R. (2001). An illustration of second-order latent growth models. Structural Equation Modeling, 8, 470-489.
15. Hawley, P. H., & Little, T. D. (1999). On winning some and losing some: A social relations approach to social dominance in toddlers. Merrill-Palmer Quarterly, 45, 185-214.
16. Holmbeck, G. N., Bruno, E. F., & Jandasek, B. (2006). Longitudinal research in pediatric psychology: An introduction to the special issue. Journal of Pediatric Psychology, 31, 995-1001.
17. Holmes, C. S., Chen, R., Streisand, R., Marschall, D. E., Souter, S., Swift, E. E., et al. (2006). Predictors of youth diabetes care behaviors and metabolic control: A structural equation modeling approach. Journal of Pediatric Psychology, 31, 770-784.
18. Hoyle, R. H. (1995). The structural equation modeling approach: Basic concepts and fundamental issues. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 1-15). Thousand Oaks CA: Sage.
19. Hoyle, R. H. (1994). Introduction to the special section: Structural equation modeling in clinical research. Journal of Consulting and Clinical Psychology, 62, 427-428.
20. Hoyle, R. H., & Smith, G. T. (1994). Formulating clinical research hypotheses as structural equation models: A conceptual overview. Journal of Consulting and Clinical Psychology, 62, 429-440.
21. Kazak, A. E. (2002). Journal of pediatric psychology (JPP), 1998-2002: Editor's vale dictum. Journal of Pediatric Psychology, 27, 653-663.
22. Kazak, A. E. (1998). Editorial: Change and continuity in the Journal of Pediatric Psychology. Journal of Pediatric Psychology, 23, 1-3.
23. Kazak, A. E., Rourke, M. T., & Crump, T. A. (2003). Families and other systems in pediatric psychology. In M. C. Roberts (Ed.), Handbook of pediatric psychology (3rd ed., pp. 159-175). New York: Guilford.
24. Kazdin, A. E. (1997). A model for developing effective treatments: Progression and interplay of theory, research, and practice. Journal of Clinical Child Psychology, 26, 114-129.
25. Kazdin, A. E., & Nock, M. K. (2003). Delineating mechanisms of changing in child and adolescent therapy. Journal of Clinical Child Psychology and Psychiatry, 44, 1116-1129.
26. Klein, A., & Moosbrugger, H. (2000). Maximum likelihood estimation of latent interaction effects with the LMS method. Psychometrika, 65, 457-474.
27. Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.), New York: Guilford.
28. LaGreca, A. M. (1997). Reflections and perspectives on pediatric psychology: Editor's vale dictum. Journal of Pediatric Psychology, 22, 759-770.
29. Little, T. D. (1997). Mean and covariance structures (MACS) analyses of cross-cultural data: Practical and theoretical issues. Multivariate Behavioral Research, 32, 53-76.
30. Little, T. D., Bovaird, J. A., & Slegers, D. W. (2006a). Methods for the analysis of change. In D. Mroczek, & T. D. Little (Eds.), Handbook of personality development (pp. 181-211). Mahwah NJ: Erlbaum.
31. Little, T. D., Bovaird, J. A., & Widaman, K. F. (2006b). On the merits of orthogonalizing powered and product terms: Implications for modeling interactions among latent variables. Structural Equation Modeling, 13, 497-519.
32. MacCallum, R. C., & Austin, J. T. (2000). Applications of structural equation modeling in psychological research. Annual Review of Psychology, 51, 201-226.
33. MacKinnon, D. P., Lockwood, C. M., Hoffman, J. M., West, S. G., & Sheets, V. (2002). A comparison of methods to test mediation and other intervening variable effects. Psychological Methods, 7, 83-104.
34. McArdle, J. (1996). Current directions in structural factor analysis. Current Directions in Psychological Science, 5, 11-18.
35. Mehta, P. D., & Neale, M. C. (2005). People are variables too: Multilevel structural equations modeling. Psychological Methods, 10, 259-284.
36. Miller, V. A., Drotar, D., Burant, C., & Kodish, E. (2005). Clinician-parent communication during informed consent for pediatric leukemia trials. Journal of Pediatric Psychology, 30, 219-229.
37. Mueller, R. O. (1997). Structural equation modeling: Back to basics. Structural Equation Modeling, 4, 353-369.
38. Naar-King, S., Idalski, A., Ellis, D., Frey, M., Templin, T., Cunningham, P. B., et al. (2006). Gender difference in adherence and metabolic control in urban youth with poorly controlled type 1 diabetes: The mediating role of mental health symptoms. Journal of Pediatric Psychology, 31, 793-802.
39. Pacifici, C., Stoolmiller, M., & Nelson, C. (2001). Evaluating a prevention program for teenagers on sexual coercion: A differential effectiveness approach. Journal of Consulting and Clinical Psychology, 69, 552-559.
40. Power, T., DuPaul, G., Shapiro, E., & Kazak, A. (2003). Promoting children's health: Integrating school, family, and community. New York: Guilford.
41. Preacher, K. J. (2006). Quantifying parsimony in structural equation modeling. Multivariate Behavioral Research, 41, 227-259.
42. Reid, M. J., Webster-Stratton, C., & Baydar, N. (2004). Halting the development of conduct problems in head start children: The effects of parent training. Journal of Clinical Child and Adolescent Psychology, 33, 279-291.
43. Reis, H. T., & Stiller, J. (1992). Publication trends in JPSP: A three-decade review. Personality and Social Psychology Bulletin, 18, 465-472.
44. Reiter-Purtill, J., Gerhardt, C. A., Vannatta, K., Passo, M. H., & Noll, R. B. (2003). A controlled longitudinal study of the social functioning of children with juvenile rheumatoid arthritis. Journal of Pediatric Psychology, 28, 17-28.
45. Roberts, M. C. (1992). Vale dictum: An editor's view of the field of pediatric psychology and its journal. Journal of Pediatric Psychology, 17, 785-805.
46. Rose, B. M., Holmbeck, G. N., Coakley, R. M., & Franks, E. A. (2004). Mediator and moderator effects in developmental and behavioral pediatric research. Journal of Developmental and Behavioral Pediatrics, 25, 58-67.
47. Schnoll, R. A., Fang, C. Y., & Manne, S. L. (2004). The application of SEM to behavioral research in oncology: Past accomplishments and future opportunities. Structural Equation Modeling, 11, 583-614.
48. Silverman, W. K. (2006). President's message: Shifting our thinking and training from evidence-based treatments to evidence-based explanations of treatments. In Balance: Society of Clinical Child and Adolescent Psychology Newsletter, 21, 1.
49. Spirito, A., & Kazak, A. (2005). Effective treatments in pediatric psychology. New York: Oxford University Press.
50. Streisand, R., Cant, C., Chen, R. S., de Pijem, L. G., & Holmes, C. S. (2003). Brief report: Cross-cultural replication of an anomalous psychometric pattern in children with type 1 diabetes. Journal of Pediatric Psychology, 28, 191-196.
51. Ullman, J. B. (2006). Structural equation modeling: Reviewing the basics and moving forward. Journal of Personality Assessment, 87, 35-50.