Description
With improvements in technology, intensive longitudinal studies that permit the investigation of daily and weekly cycles in behavior have increased exponentially over the past few decades. Traditionally, when data have been collected on two variables over time, multivariate time series approaches that remove trends, cycles, and serial dependency have been used.
Download count: 0
Details
Contributors
- Martynova, Elena (M.A.) (Author)
- West, Stephen G. (Thesis advisor)
- Amazeen, Polemnia (Committee member)
- Tein, Jenn-Yun (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2019
Subjects
Resource Type
Collections this item is in
Note
- Partial requirement for: M.A., Arizona State University, 2019Note typethesis
- Includes bibliographical references (pages 107-111)Note typebibliography
- Field of study: Psychology
Citation and reuse
Statement of Responsibility
by Elena Martynova