Sequential Analysis and Observational Methods for the Behavioral Sciences

Sequential Analysis and Observational Methods for the Behavioral Sciences

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Behavioral scientists - including those in psychology, infant and child development, education, animal behavior, marketing and usability studies - use many methods to measure behavior. Systematic observation is used to study relatively natural, spontaneous behavior as it unfolds sequentially in time. This book emphasizes digital means to record and code such behavior; while observational methods do not require them, they work better with them. Key topics include devising coding schemes, training observers and assessing reliability, as well as recording, representing and analyzing observational data. In clear and straightforward language, this book provides a thorough grounding in observational methods along with considerable practical advice. It describes standard conventions for sequential data and details how to perform sequential analysis with a computer program developed by the authors. The book is rich with examples of coding schemes and different approaches to sequential analysis, including both statistical and graphical means.
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Product details

  • Electronic book text
  • Cambridge University Press (Virtual Publishing)
  • Cambridge, United Kingdom
  • 53 b/w illus. 48 tables
  • 1139184555
  • 9781139184557

Review quote

"...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
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Table of contents

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.
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