Intensive Longitudinal Methods

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A01=Harry T. Reis
A01=Jean-Philippe Laurenceau
A01=Niall Bolger
A01=Nilam Ram
A01=Tamlin S. Conner
advanced longitudinal data modelling
Age Group_Uncategorized
Age Group_Uncategorized
ambulatory assessments
Author_Harry T. Reis
Author_Jean-Philippe Laurenceau
Author_Niall Bolger
Author_Nilam Ram
Author_Tamlin S. Conner
automatic-update
Category1=Non-Fiction
Category=JHBC
confirmatory factor analysis
COP=United States
daily life
Delivery_Delivery within 10-20 working days
diaries
diary methods
dyadic data analysis
ecological momentary assessment
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
experience sampling
generalisability theory
intensive longitudinal data
intensive longitudinal designs
Language_English
multilevel modelling
PA=Available
Price_€50 to €100
PS=Active
real-time data capture
research methods
SN=Methodology in the Social Sciences
softlaunch
statistical power analysis
statistics
studies
within-subject variability

Product details

  • ISBN 9781462506781
  • Weight: 524g
  • Dimensions: 156 x 234mm
  • Publication Date: 09 Apr 2013
  • Publisher: Guilford Publications
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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This book offers a complete, practical guide to doing an intensive longitudinal study with individuals, dyads, or groups. It provides the tools for studying social, psychological, and physiological processes in everyday contexts, using methods such as diary and experience sampling. 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, apply multilevel models to within-subject designs, model within-subject change processes for continuous and categorical outcomes, 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 (www.intensivelongitudinal.com).

Niall Bolger, PhD, is Professor and Chair of Psychology at Columbia University. He is a Charter Member and Fellow of the Association for Psychological Science and a Fellow of the Society of Experimental Social Psychology and the Society for Personality and Social Psychology. Dr. Bolger's main research interests include adjustment processes in close relationships using intensive longitudinal methods and laboratory-based studies of dyadic behavior, emotion and physiology, and personality processes as they are revealed in patterns of behavior, emotion, and physiology in daily life. He is also interested in statistical methods for analyzing longitudinal and multilevel data.

Jean-Philippe Laurenceau, PhD, is Professor of Psychology at the University of Delaware. He is an appointed member of the Social, Personality, and Interpersonal Processes grant review panel of the National Institutes of Health. Dr. Laurenceau's research focuses on understanding the processes by which partners in marital and romantic relationships develop and maintain intimacy in the context of everyday life. His methodological interests include intensive longitudinal methods for studying close relationship processes and applications of modern methods for the analysis of change in individuals and dyads.

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