Sequential Analysis aims to detect the recurring sequential patterns in a stream of coding categories describing social interaction. These techniques can be employed to study the repertoires of individuals and of dyads and groups. This book is a sequel to Bakeman and Gottman's Observing Interaction: An Introduction to Sequential Analysis (CUP, 1986). It constitutes the first integrated presentation of the major methods of sequential analysis. Gottman and Roy review historical approaches such as stationarity, order, homogeneity, pooling data across subjects, and autocorrelation in inferring cross-correlation. The integrated application of techniques is also discussed. Addressing the behavioral scientist, the authors provide many examples and illustrate everyday computations. They also offer guides to existing computer programs.
|Publisher:||Cambridge University Press|
|Product dimensions:||5.90(w) x 9.00(h) x 0.60(d)|
Table of ContentsPreface; Reading this book quickly; Part I. Introduction: 1. Advertisement; 2. History; 3. The language of sequential analysis; Part II. Fitting the Timetable: 4. The order of the Markov chain; 5. Stationarity of the Markov chain; 6. Homogeneity; 7. Everyday computations of stationarity, order and homogeneity; 8. Sampling distributions; 9. Lag sequential analysis; Part III. The Timetable and the Contextual Design: 10. Log-linear models; 11. Log-linear models: review and examples; 12. A single case analysis of the timetable; 13. Logit models and logistic regression; 14. The problem of autocontingency and its solutions; 15. Recent advances: a brief overview; 16. A brief summary; References; Index.