Sequential Analysis and Observational Methods for the Behavioral Sciences - Bakeman, Roger

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Résumé :
This book emphasizes digital means to record and code behavior; while observational methods do not require them, they work better with them.

Biographie:
Roger Bakeman is professor emeritus in the Psychology Department at Georgia State University. A graduate of Antioch College, Bakeman earned his PhD from the University of Texas, Austin in 1973 and previously worked in computer programming at the Yale University Computer Center and at the Brookings Institution. He is a fellow of the American Psychology Association and the Association for Psychological Science and has served as program co-chair for biennial meetings of the Society for Research in Child Development (SRCD) and the International Conference of Infant Studies (ICIS). For the National Institutes of Health (NIH), he served on the Advisory Board for the Study of Early Child Care, the Advisory Committee for the Division of Research Grants and on various review panels. He was an associate editor for Infancy and has served on editorial boards for Behavior Research Methods, Child Development, Developmental Psychology, Infant Behavior and Development and Psychological Methods. He is author, with John M. Gottman, of Observing Interaction: An Introduction to Sequential Analysis; with Vicen? Quera, of Analyzing Interaction: Sequential Analysis with SDIS and GSEQ; and with Byron F. Robinson, of Understanding Statistics in the Behavioral Sciences and Understanding Log-linear Analysis with ILOG. He has consulted widely, primarily on topics related to infant and child typical and atypical development and health matters.

Sommaire:
1. Introduction to observational methods; 2. Coding schemes and observational measurement; 3. Recording observational data; 4. Representing observational data; 5. Observer agreement and Cohen's kappa; 6. Kappas for point-by-point agreement; 7. The intraclass correlation coefficient (ICC) for summary measures; 8. Summary statistics for individual codes; 9. Cell and summary statistics for contingency tables; 10. Preparing for sequential and other analyses; 11. Time-window and log-linear sequential analysis; 12. Recurrence analysis and permutation tests.

...Bakeman and Quera's text is a useful reference guide for how to apply sequential analysis, with several examples of its actual use. It should be a useful guide to those sequential analysis researchers already applying such methods to their work but would have benefited from more discussion of when to apply such methods (to alert nonusers to its potential applicability to their work)... --Dr. David P. Nalbone, Purdue University Calumet, PsycCRITIQUES