Literature DB >> 14654727

Intraindividual variability and short-term change. Commentary.

John R Nesselroade1.   

Abstract

BACKGROUND: Interest in the study of intraindividual variability is growing rapidly.
OBJECTIVE: The present collection of papers deals with both longer-term, growth and change and shorter-term intraindividual variability.
METHODS: The papers emphasize primarily the former within the context of analyzing large, longitudinal data sets. Also discussed are some key methodological matters.
RESULTS: Criteria to help with choosing methods and modeling with missing data are included.
CONCLUSIONS: A promising direction is toward developing a more systematic and intensive conception of the meaning and significance of the wide variety of manifestations of intraindividual variability and integrating them into theories of aging. Copyright 2004 S. Karger AG, Basel

Mesh:

Year:  2004        PMID: 14654727     DOI: 10.1159/000074389

Source DB:  PubMed          Journal:  Gerontology        ISSN: 0304-324X            Impact factor:   5.140


  10 in total

1.  An application of a mixed-effects location scale model for analysis of Ecological Momentary Assessment (EMA) data.

Authors:  Donald Hedeker; Robin J Mermelstein; Hakan Demirtas
Journal:  Biometrics       Date:  2007-10-26       Impact factor: 2.571

2.  Associations between variability of risk factors and health outcomes in longitudinal studies.

Authors:  Michael R Elliott; Mary D Sammel; Jessica Faul
Journal:  Stat Med       Date:  2012-07-20       Impact factor: 2.373

3.  Mean-level change and intraindividual variability in self-esteem and depression among high-risk children.

Authors:  Jungmeen Kim; Dante Cicchetti
Journal:  Int J Behav Dev       Date:  2009-01-30

4.  Ups and downs of alcohol use among first-year college students: Number of drinks, heavy drinking, and stumble and pass out drinking days.

Authors:  Jennifer L Maggs; Lela Rankin Williams; Christine M Lee
Journal:  Addict Behav       Date:  2010-11-04       Impact factor: 3.913

5.  Measurement of stable changes of self-management skills after rehabilitation: a latent state-trait analysis of the Health Education Impact Questionnaire (heiQ™).

Authors:  M Schuler; G Musekamp; J Bengel; M Schwarze; K Spanier; Chr Gutenbrunner; I Ehlebracht-König; S Nolte; R H Osborne; H Faller
Journal:  Qual Life Res       Date:  2014-04-29       Impact factor: 4.147

6.  Modeling mood variation associated with smoking: an application of a heterogeneous mixed-effects model for analysis of ecological momentary assessment (EMA) data.

Authors:  Donald Hedeker; Robin J Mermelstein; Michael L Berbaum; Richard T Campbell
Journal:  Addiction       Date:  2009-02       Impact factor: 6.526

7.  Using derivative estimates to describe intraindividual variability at multiple time scales.

Authors:  Pascal R Deboeck; Mignon A Montpetit; C S Bergeman; Steven M Boker
Journal:  Psychol Methods       Date:  2009-12

8.  MIXREGLS: A Program for Mixed-Effects Location Scale Analysis.

Authors:  Donald Hedeker; Rachel Nordgren
Journal:  J Stat Softw       Date:  2013-03       Impact factor: 6.440

9.  Cognition in Context: Understanding the Everyday Predictors of Cognitive Performance in a New Era of Measurement.

Authors:  Emma Weizenbaum; John Torous; Daniel Fulford
Journal:  JMIR Mhealth Uhealth       Date:  2020-07-23       Impact factor: 4.773

10.  MixWILD: A program for examining the effects of variance and slope of time-varying variables in intensive longitudinal data.

Authors:  Eldin Dzubur; Aditya Ponnada; Rachel Nordgren; Chih-Hsiang Yang; Stephen Intille; Genevieve Dunton; Donald Hedeker
Journal:  Behav Res Methods       Date:  2020-08
  10 in total

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