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Synopsis
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...
About the Author
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.
Excerpt. © Reprinted by permission. All rights reserved.
Contents
1. Research Questions for Time-Series and Spectral Analysis Studies
2. Issues in Time-Series Research Design, Data Collection, and Data Entry: Getting Started
3. Preliminary Examination of Time-Series Data
4. Harmonic Analysis
5. Periodogram Analysis
6. Spectral Analysis
7. Summary of Issues for Univariate Time-Series Data
8. Assessing Relationships between Two Time Series
9. Cross-Spectral Analysis
10. Applications of Bivariate Time-Series and Cross-Spectral Analyses
11. Pitfalls for the Unwary: Examples of Common Sources...
"About this title" may belong to another edition of this title.
- PublisherThe Guilford Press
- Publication date1998
- ISBN 10 1572303387
- ISBN 13 9781572303386
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages225
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SPECTRAL ANALYSIS OF TIME-SERIES DATA
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Spectral Analysis of Time-Series Data
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