| Literature DB >> 26989350 |
Nilam Ram1, David E Conroy1, Aaron L Pincus1, Amy Lorek1, Amanda Rebar1, Michael J Roche1, Michael Coccia1, Jennifer Morack1, Josh Feldman1, Denis Gerstorf1.
Abstract
Human development is characterized by the complex interplay of processes that manifest at multiple levels of analysis and time-scales. We introduce the Intraindividual Study of Affect, Health and Interpersonal Behavior (iSAHIB) as a model for how multiple time-scale study designs facilitate more precise articulation of developmental theory. Combining age heterogeneity, longitudinal panel, daily diary, and experience sampling protocols, the study made use of smartphone and web-based technologies to obtain intensive longitudinal data from 150 persons age 18-89 years as they completed three 21-day measurement bursts (t = 426 bursts, t = 8,557 days) wherein they provided reports on their social interactions (t = 64,112) as they went about their daily lives. We illustrate how multiple time-scales of data can be used to articulate bioecological models of development and the interplay among more 'distal' processes that manifest at 'slower' time-scales (e.g., age-related differences and burst-to-burst changes in mental health) and more 'proximal' processes that manifest at 'faster' time-scales (e.g., changes in context that progress in accordance with the weekly calendar and family influence processes).Entities:
Keywords: aging; depression; ecological momentary assessment; emotion; family; multi-scale analysis
Year: 2014 PMID: 26989350 PMCID: PMC4792298 DOI: 10.1080/15427609.2014.906739
Source DB: PubMed Journal: Res Hum Dev ISSN: 1542-7609