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| Research article summary (published 28 Feb 2008): |
Pooling data from multiple longitudinal studies: the role of item response theory in integrative data analysis.
Full Abstract
There are a number of significant challenges researchers encounter when studying development over an extended period of time, including subject attrition, the changing of measurement structures across groups and developmental periods, and the need to invest substantial time and money. Integrative data analysis is an emerging set of methodologies that allows researchers to overcome many of the challenges of single-sample designs through the pooling of data drawn from multiple existing developmental studies. This approach is characterized by a host of advantages, but this also introduces several new complexities that must be addressed prior to broad adoption by developmental researchers. In this article, the authors focus on methods for fitting measurement models and creating scale scores using data drawn from multiple longitudinal studies. The authors present findings from the analysis of repeated measures of internalizing symptomatology that were pooled from three existing developmental studies. The authors describe and demonstrate each step in the analysis and conclude with a discussion of potential limitations and directions for future research.
Author information
Author/s: Curran, Patrick J (PJ); Hussong, Andrea M (AM); Cai, Li (L); Huang, Wenjing (W); Chassin, Laurie (L); Sher, Kenneth J (KJ); Zucker, Robert A (RA);
Affiliation: Department of Psychology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3270, USA. curran(-atsign-)unc.edu
Grants: AA013987 (Agency:NIAAA NIH HHS) ; AA07065 (Agency:NIAAA NIH HHS) ; AA16213 (Agency:NIAAA NIH HHS) ; DA013148 (Agency:NIDA NIH HHS) ; DA05227 (Agency:NIDA NIH HHS) ; DA15398 (Agency:NIDA NIH HHS)
Journal and publication information
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal: Developmental psychology (Dev Psychol), published in United States. (Language: eng)
Reference: 2008-Mar; vol 44 (issue 2) : pp 365-80
Dates: Created 2008/03/11; Completed 2008/06/09;
PMID: 18331129, status: MEDLINE (last retrieval date: 2/18/2009, IMS Date: )
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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