This book provides a thorough introduction to methods for detecting and describing cyclic patterns in time-series data. It is written both for researchers and students new to the area and for those who have already collected time-series data but wish to learn new ways of understanding and presenting them. Facilitating the interpretation of observations of behavior, physiology, mood, perceptual threshold, social indicator variables, and other responses, the book focuses on practical applications and requires much less mathematical background than most comparable texts. Using real data sets and currently available software (SPSS for Windows), the author employs extensive examples to clarify key concepts. Topics covered include research design issues, preliminary data screening, identification and description of cycles, summary of results across time series, and assessment of relations between time series. Also considered are theoretical questions, problems of interpretation, and potential sources of artifact.
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Rebecca M. Warner, PhD, is Professor of Psychology at the University of New Hampshire. Her research interests include communication style, cardiovascular reactivity and modulation of physiological rhythms in social interactions, and coordination of talk patterns in conversation.
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Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Hardback. Condizione: Good. This text provides a thorough introduction to methods for detecting and describing cyclic patterns by clarifying key concepts and covering topics such as research design issues, preliminary data screening and identification and description of cycles. Codice articolo 00109651987
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Hardback. Condizione: Good. This text provides a thorough introduction to methods for detecting and describing cyclic patterns by clarifying key concepts and covering topics such as research design issues, preliminary data screening and identification and description of cycles. Codice articolo CIN1572303387G
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