Longitudinal meta-analysis

Quality and Quantity

Volumn 38, Issue 4, 2004, Pages 381-389

  Maas, Cora J M ^a   Hox, Joop J ^a   Lensvelt Mulders, Gerty J L M ^a  

^a UTRECHT UNIVERSITY   (Netherlands)

Author keywords

longitudinal analysis; meta analysis; multilevel analysis

Indexed keywords

EID: 5044236619     PISSN: 00335177     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:QUQU.0000043125.43736.c4     Document Type: Article

References (13)

1. Bryk, A. S. & Raudenbush, S. W. (1992). Hierarchical linear models. Newbury Park, CA: Sage.
2. Bryk, A. S., Raudenbush, S. W. & Congdon, R. T. (1994). HLM 2/3. Hierarchical linear modeling with the HLM/2L and HLM/3L programs. Chicago: Scientific Software International.
3. Cornell, J. & Mulrow, C. (1999). Meta-analysis. In: H. J. Ader and G. J. Mellenbergh (eds.), Research methodology in the social, behavioral, and life sciences. London: Sage.
4. Glass, G. V. (1976). Primary, secondary and meta analysis of research. Educational Researcher 10: 3-8.
5. Goldstein, H. (1995). Multilevel statistical models. London: Edward Arnold.
6. Hedges, L. V. & Olkin, I. (1985). Statistical methods for meta-analysis. San Diego, CA: Academic Press.
7. Hunter, J. E. & Schmidt, F. L. (1990). Methods of meta-analysis. Newbury Park, CA: Sage.
8. Light, R. J. & Pillemer, D. B. (1984). Summing up: The science of reviewing research. Cambridge, MA: Harvard University Press.
9. Lipsey, M. W. & Wilson, D. B. (2001). Practical meta-analysis. Thousand Oaks, CA: Sage.
10. Rasbash, J. & Woodhouse, G. (1995). MLn command guide. London: Multilevel Models Project, University of London.
11. Raudenbush, S. W. (1994). Random effects models. In: H. Cooper & L. V. Hedges (eds.), The handbook of research synthesis. New York: Russell Sage Foundation.
12. Raudenbush, S. W. & Bryk, A. S. (1985). Empirical Bayes meta analysis. Journal of Educational Statistics 10: 75-98.
13. Schwarzer, R. (1989). Meta-analysis programs. Program manual. Berlijn: Institut für Psychologie, Freie Universität Berlin.