Preface; 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.
"...a reasonably comprehensive introduction to the topic, with an extensive bibliography to help those readers who wish to pursue further reading. The coverage of research literature is impressively up to date. The derivations of statistical models and procedures are generally very clear and technically sound. I particularly like the authors' approach to data analysis, which stresses working within a framework provided by substantive theory rather than testing parametric variations of a model...To those researchers whose substantive research questions are leading them into the new territory of sequential analysis, I recommend this book. A careful reading will help most invesigators gain the skills necessary to begin applying sequential analysis, and will point them in the right direction for gaining additional expertise." Linda M. Collins, Merrill-Palmer Quarterly "...the reader who is interested in exploring sequential analysis can do no better than to begin with this book..." Dennis Delprato, The Psychological Record