Book Review : Analysing Change: Measurement and Explanation Using Longitudinal Data

Coleman, J.S. (1968). The mathematical study of change. In H. Blalock & A. B. Blalock (Eds.), Methodology in social research. New York: McGraw-Hill.

Cronbach, L.J. , & Furby, L. (1970). How should we measure "change"—or should we? Psychological Bulletin, 74, 68-80.

Duncan, O.D. (1985). New light on the 16-fold table. American Journal of Sociology, 91, 88-128.

Dwyer, J.H. (1983). Statistical models for the social and behavioral sciences. London: Oxford University Press.

Goldstein, H. (1979). The design and analysis of longitudinal studies . London: Academic Press.

Gordon, T. , & Kannel, W. (1970). The Framingham, Massachusetts study—20 years later. In H. Kessler & M. L. Levin (Eds.), The community as an epidemiologic laboratory: A casebook of community studies. Baltimore : Johns Hopkins University Press.

Jöreskog, K.G. (1970). A general method for the analysis of covariance structures. Biometrika, 57, 239-251.

Laird, N.M. , & Ware, J.H. (1982). Random effects models for longitudinal data. Biometrics, 39, 95-101.

Muthén, B. (1979). A structural probit model with latent variables . Journal of the American Statistical Association, 74, 807-811.

Rogosa, D. , Brandt, D. , & Zimowski, M. (1982). A growth curve approach to the measurement of change. Psychological Bulletin, 92, 726-748.

Rosner, B. , Munoz, A. , & Tager, I.B. (in press). The use of an autoregressive model for the analysis of longitudinal data in epidemiological studies. Statistics in Medicine.