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
Analysis
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