Analysis of longitudinal data using the hierarchical linear model

Quality and Quantity

Volumn 30, Issue 4, 1996, Pages 405-426

  Snijders, Tom ^a  

^a UNIVERSITY OF GRONINGEN   (Netherlands)

Author keywords

Hierarchical linear model; Multilevel analysis; Random coefficients

Indexed keywords

EID: 0030504646     PISSN: 00335177     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF00170145     Document Type: Article

References (31)

1. Alasker, F.D. (1992). Modeling quantitative developmental change, in J.B. Asendorpf & J. Valsiner (eds.), Stability and Change in Development. Newbury Park: Sage, pp. 88-109.
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. Bryk, A.S. & Raudenbush, S.W. (1992). Hierarchical Linear Models, Applications and Data Analysis Methods. London: Sage.
4. Dale, A. & Davies, R.B. (1994). Analyzing Social and Political Change. London: Sage.
5. Diggle, P.J. (1988). An approach to the analysis of repeated measurements, Biometrics 44: 959-971.
6. Diggle, P.J., Liang, K.-Y., & Zeger, S.L. (1994). Analysis of Longitudinal Data. Oxford: Clarendon Press.
7. Goldstein, H. (1987). Multilevel Models in Educational and Social Research. London: Charles Griffin & Co.
8. Goldstein, H. (1989). Flexible models for the analysis of growth data with an application to height prediction, Revue d'Epidémiologie et Santé Publique 37: 477-484.
9. Goldstein, H., Healy, M.J.R., & Rasbash, J. (1994). Multilevel time series models with applications to repeated measures data, Statistics in Medicine 13: 1643-1655.
10. Hoeksma, J.B. & Koomen, M.Y. (1992). Multilevel models in developmental psychological research: rationales and applications. Early Development and Parenting 1: 157-167.
11. Hsiao, C. (1986). Analysis of Panel Data. Cambridge: Cambridge University Press.
12. Jones, R.H. (1993). Longitudinal Data with Serial Correlation: A State Space Approach. London: Chapman and Hall.
13. Kmenta, J. (1986). Elements of Econometrics, 2nd ed. New York: MacMillan.
14. Laird, N.M. & Ware, J.H. (1982). Random-effects models for longitudinal data', Biometrics 38: 963-974.
15. Lindsey, J.K. (1993). Models for Repeated Measurements. Oxford: Clarendon Press.
16. Longford, N.T. (1993). VARCL: Software for Variance Component Analysis of Data with Nested Random Effects (maximum likelihood). Manual. Groningen: ProGAMMA.
17. Maas, C. & Snijders, T.A.B. (1995). Analysis of repeated measures with missing data using the Hierarchical Linear Model, forthcoming.
18. Marsh, H.W., & Grayson, D. (1994). Longitudinal confirmatory factor analysis: common, time-specific, item-specific, and residual-error components of variance, Structural Equation Modeling 1: 116-145.
19. Ormel, J. & Schaufeli, W.B. (1991). Stability and change in psychological distress and their relationship with self-esteem and locus of control: a dynamic equilibrium model, Journal of Personality and Social Psychology 60: 288-299.
20. Ormel, J. & Wohlfarth, T. (1991). How neuroticism, long-term difficulties, and life situation change influence psychological distress: a longitudinal model, Journal of Personality and Social Psychology 60 744-755.
21. Plewis, I. (1994). Longitudinal multilevel models, in A. Davis and R.B. Davies (eds.), Analyzing Social and Political Change. London: Sage.
22. Prosser, R., Rasbash, J., & Goldstein, H. (1991). ML3: Software for Three-level Analysis. London: Institute of Education, University of London.
23. Raudenbush, S.W. & Chan, W.-S. (1994). Application of a hierarchical linear model to the study of adolescent deviance in an overlapping cohort design, Journal of Consulting and Clinical Psychology 61: 941-951.
24. Rogosa, D., Brandt, D., & Zimowski, M. (1982). A growth curve approach to the measurement of change, Psychological Bulletin 92: 726-748.
25. Rogosa, D.R. & Willett, J.B., (1985). Understanding correlates of change by modeling individual differences in growth, Psychometrika 5o: 203-228.
26. Rutter, C.M., & Elashoff, R.M. (1994). Analysis of longitudinal data: Random coefficient regression modelling, Statistics in Medicine 13: 1211-1231.
27. Seber, G.A.F., & Wild, C.J. (1989). Nonlinear Regression. New York: Wiley and Sons.
28. Snijders, T.A.B. & Bosker, R.J. (1994). Modeled variance in two level models, Sociological Methods and Research 22: 342-363.
29. Sternio, J.L.F., Weisberg, H.I., & Bryk, A.S. (1983). Empirical Bayes estimation of individual growth curves parameters and their relationship to covariates. Biometrics 39: 71-86.
30. Swamy, P.A.V.B. (1974). Linear models with random coefficients, in P. Zarembka (ed.), Frontiers in Econometrics. New York: Academic Press.
31. Willett, J.B. & Sayer A.G. (1994). Using covariance structure analysis to detect correlates and predictors of individual change over time, Psychological Bulletin 116: 363-381.