Intensive Longitudinal Methods An Introduction To Diary And Experience Sampling Research - Info and Reading Options
By Niall Bolger

"Intensive Longitudinal Methods An Introduction To Diary And Experience Sampling Research" was published by Guilford Publications in 2012 and it has 256 pages.
“Intensive Longitudinal Methods An Introduction To Diary And Experience Sampling Research” Metadata:
- Title: ➤ Intensive Longitudinal Methods An Introduction To Diary And Experience Sampling Research
- Author: Niall Bolger
- Number of Pages: 256
- Publisher: Guilford Publications
- Publish Date: 2012
“Intensive Longitudinal Methods An Introduction To Diary And Experience Sampling Research” Subjects and Themes:
- Subjects: ➤ Social sciences, methodology - Methodology - Social sciences - Longitudinal studies - Longitudinal method - Longitudinella undersökningar - Forskningsmetodik - Longitudinal methods
Edition Identifiers:
- The Open Library ID: OL25998763M - OL17416641W
- Online Computer Library Center (OCLC) ID: 783142666
- Library of Congress Control Number (LCCN): 2012032402
- ISBN-13: 9781462506781
- All ISBNs: 9781462506781
AI-generated Review of “Intensive Longitudinal Methods An Introduction To Diary And Experience Sampling Research”:
"Intensive Longitudinal Methods An Introduction To Diary And Experience Sampling Research" Description:
The Open Library:
"A complete, practical guide to planning and executing an intensive longitudinal study, this book provides the tools for understanding within-subject social, psychological, and physiological processes in everyday contexts. Intensive longitudinal studies involve many repeated measurements taken on individuals, dyads, or groups, and include diary and experience sampling studies. A range of engaging, worked-through research examples with datasets are featured. Coverage includes how to: select the best intensive longitudinal design for a particular research question, model within-subject change processes for continuous and categorical outcomes, distinguish within-subject from between-subjects effects, assess the reliability of within-subject changes, assure sufficient statistical power, and more. Several end-of-chapter write-ups illustrate effective ways to present study findings for publication. Datasets and output in SPSS, SAS, Mplus, HLM, MLwiN, and R for the examples are available on the companion website."--Publisher's website.
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