1. Introduction -- 2. Analysis of discrete variables -- A. Markov models -- Steady state -- Second-order process -- Markov models for heterogeneous populations -- Mover-stayer model -- Some limitations of markov models -- B. Wiggins models -- Wiggins examples -- Evaluation of the Wiggins model -- C. Coleman model -- Coleman model example -- Evaluation of the Coleman model -- D. Log-linear models -- Log-linear regression models -- Log-linear analysis example -- An alternative model -- Example of the dummy dependent-variable model -- Evaluation of the Goodman and dummy dependent-variable model -- Evaluation of the Goodman and dummy dependent-variable models -- 3. Analysis of interval level variables -- A. Regression effects -- B. Causal inference -- Autocorrelated disturbances -- Example of a dynamic causal system with an autocorrelated disturbance -- C. Measurement error -- Wiley and Wiley model -- An application of the Wiley-Wiley approach -- The LISREL model -- A LISREL application -- 4. Concluding note
Summary
An introduction to a variety of techniques that may be used in the analysis of data from a panel study - information obtained from a large number of entities at two or more points in time. The focus of this volume is on analysis rather than problems of sampling or design, and its emphasis is on application rather than theory
