Three-level multilevel growth models for nested change data: A guide for group treatment researchers

Psychotherapy Research

Volumn 19, Issue 4-5, 2009, Pages 453-461

  Tasca, Giorgio A ^a   Illing, Vanessa ^b   Joyce, Anthony S ^c   Ogrodniczuk, John S ^d  

^a UNIVERSITY OF OTTAWA   (Canada)

^b UNIVERSITY OF OTTAWA   (Canada)

^c UNIVERSITY OF ALBERTA   (Canada)

^d UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Group psychotherapy; Multilevel modeling; Outcome research; Statistical methodology

Indexed keywords

ARTICLE; HUMAN; MENTAL DISEASE; METHODOLOGY; PSYCHOLOGICAL MODEL; PSYCHOTHERAPY;

HUMANS; MENTAL DISORDERS; MODELS, PSYCHOLOGICAL; PSYCHOTHERAPY;

EID: 77953143701     PISSN: 10503307     EISSN: 14684381     Source Type: Journal    
DOI: 10.1080/10503300902933188     Document Type: Article

References (27)

1. Atkins, D. C. (2005). Using multilevel models to analyze couple and family treatment data: Basic and advanced issues. Journal of Family Psychology, 19, 98-110.
2. Azim, H. F. A., Piper, W. E., Segal, P. M., Nixon, G. W. H., & Duncan, S. (1991). The Quality of Object Relations Scale. Bulletin of the Menninger Clinic, 55, 323-343.
3. Baldwin, S. A., Murray, D. M., & Shadish, W. R. (2005). Empirically supported treatments or Type I errors? Problems with the analysis of data from group-administered treatments. Journal of Consulting and Clinical Psychology, 73, 924-935.
4. Crits-Christoph, P., & Gallop, R. (2006). Therapist effects in the National Institute of Mental Health Treatment of Depression Collaborative Research Program and other psychotherapy studies. Psychotherapy Research, 16, 178-181.
5. Elkin, I., Falconnier, L., Martinovich, Z., & Mahoney, C. (2006). Therapist effects in the National Institute of Mental Health Treatment of Depression Research Program. Psychotherapy Research, 16, 144-160.
6. Gueorguieva, R., & Krystal, J. H. (2004). Move over ANOVA: Progress in analyzing repeated-measures data and its reflection in papers published in the Archives of General Psychiatry. Archives of General Psychiatry, 61, 310-317.
7. Hedeker, D., & Gibbons, R. D. (2006). Longitudinal data analysis. New York: Wiley.
8. Holden, J. E., Kelley, K., & Argawal, R. (2008). Analysing change: A primer on multilevel models with applications to nephrology. American Journal of Nephrology, 28, 792-801.
9. Hox, J. (2002). Multilevel analysis: Techniques and applications (2nd ed.). Mahwah, NJ: Erlbaum.
10. Imel, Z., Baldwin, S., Bonus, K., & MacCoon, D. (2008). Beyond the individual: Group effects in mindfulness-based stress reduction. Psychotherapy Research, 18, 735-742.
11. Kenny, D. A., & Judd, C. M. (1986). Consequences of violating the independence assumption in analysis of variance. Psychological Bulletin, 99, 422-431.
12. Kreft, I., & de Leeuw, J. (1998). Introducing multilevel modeling. Thousand Oaks, CA: Sage.
13. Lutz, W., Leon, S. C., Martinovich, Z., Lyons, J. S., & Stiles W. B. (2007). Therapist effects in outpatient psychotherapy: A three-level growth curve approach. Journal of Counseling Psychology, 54, 32-39.
14. Maas, C. J. M., & Hox, J. J. (2005). Sufficient sample sizes for multilevel modeling. Methodology, 1, 86-92.
15. McCallum, M., Piper, W. E., & Joyce, A. S. (1995). Manual for time-limited, short term, supportive group therapy for patients experiencing pathological bereavement. Unpublished manuscript.
16. Piper, W. E., McCallum, M., & Joyce, A. S. (1995). Manual for time-limited, short-term, interpretive group therapy for patients experiencing pathological bereavement. Unpublished manuscript.
17. Piper, W. E., Ogrodniczuk, J. S., Weideman, R., Joyce, A. S., & Rosie, J. S. (2007). Group composition and group therapy for complicated grief. Journal of Consulting and Clinical Psychology, 75, 116-125.
18. Pollack, B. (1998). Hierarchical linear modeling and the “unit of analysis” problem: A solution for analyzing responses of intact group members. Group Dynamics, 2, 299-312.
19. Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Thousand Oaks, CA: Sage.
20. Raudenbush, S. W., Bryk, A. S., Cheong, Y. F., Congdon, R., & du Toit, M. (2004). HLM6: Hierarchical linear and non-linear modeling. Lincolnwood, IL: Scientific Software International.
21. Singer, J. D., & Willett, J. B. (2003). Applied longitudinal data analysis; Modeling change and event occurrence. New York: Oxford University Press.
22. Spielberger, C. D. (1983). Manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press.
23. Stevens, J. P. (2002). Applied multivariate statistics for the social sciences (4th ed.). Mahwah, NJ: Erlbaum.
24. Tasca, G. A., & Gallop, R. (2009). Multilevel modeling of longitudinal data for psychotherapy researchers: I. The basics. Psychotherapy Research, 19, 429-437.
25. Task Force on Promotion and Dissemination of Psychological Procedures. (1998). Update on empirically supported therapies: II. Clinical Psychologist, 48, 3-23.
26. Wampold, B. E., & Bolt, D. M. (2006). Therapist effects: Clever ways to make them (and everything else) disappear. Psychotherapy Research, 16, 184-187.
27. Yalom, I. D., & Leszcz, M. (2005). The theory and practice of group psychotherapy (5th ed.). New York: Basic Books.