The impact of centering first-level predictors on individual and contextual effects in multilevel data analysis

Nursing Research

Volumn 54, Issue 3, 2005, Pages 212-216

  Wu, Yow Wu B ^a   Wooldridge, Powhatan J ^a  

^a UNIVERSITY AT BUFFALO   (United States)

Author keywords

Centering; Contextual effect; HLM

Indexed keywords

ARTICLE; DATA ANALYSIS; DECISION MAKING; INTERMETHOD COMPARISON; LINEAR SYSTEM; MULTILEVEL DATA ANALYSIS; PREDICTION; STATISTICAL CONCEPTS;

EID: 20444465649     PISSN: 00296562     EISSN: None     Source Type: Journal    
DOI: 10.1097/00006199-200505000-00009     Document Type: Article

References (10)

1. Hofmann, D. A., & Gavin, M. B. (1998). Centering decisions in hierarchical linear models: Implications for research in organizations. Journal of Management, 24, 623-641.
2. Huitema, B. E. (1980). The analysis of covariance and alternatives. New York: Wiley.
3. Kreft, I. G. G. (1995). The effects of centering in multilevel analysis: Is the public school the loser or the winner? A new analysis of an old question. Multilevel Modeling Newsletter, 7(3), 5-8.
4. Kreft, I. G. G., & de Leeuw, J. (1998). Introducing multilevel modeling. London; Sage Publications.
5. Longford, N. (1989a). Contextual effects and group means. Multilevel Modeling Newsletter, 1(3), 5, 11.
6. Longford, N. (1989b). To center or not to center. Multilevel Modeling Newsletter, 1(3), 7, 11.
7. Plewis, I. (1989). Comment on "Centering" predictors in multilevel analysis. Multilevel Modeling Newsletter, 1(3), 6, 11.
8. Raudenbush, S. W. (1989a). "Centering" predictors in multilevel analysis: Choices and consequences. Multilevel Modeling Newsletter, 1(2), 10-12.
9. Raudenbush, S. W. (1989b). A response to Longford and Plewis. Multilevel Modeling Newsletter, 1(3), 8-11.
10. Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods. Thousand Oaks, CA; Sage.