Lag as Moderator Meta-Analysis: A Methodological Approach for Synthesizing Longitudinal Data

Autor/in	Card, Noel A.
Titel	Lag as Moderator Meta-Analysis: A Methodological Approach for Synthesizing Longitudinal Data
Quelle	In: International Journal of Behavioral Development, 43 (2019) 1, S.80-89 (10 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0165-0254
DOI	10.1177/0165025418773461
Schlagwörter	Meta Analysis; Longitudinal Studies; Synthesis; Research + Suchen Sie Ihr Suchwort? Meta-analysis; Metaanalyse; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Forschung
Abstract	Longitudinal data are common and essential to understanding human development. This paper introduces an approach to synthesizing longitudinal research findings called lag as moderator meta-analysis (LAMMA). This approach capitalizes on between-study variability in time lags studied in order to identify the impact of lag on estimates of stability and longitudinal prediction. The paper introduces linear, nonlinear, and mixed-effects approaches to LAMMA, and presents an illustrative example (with syntax and annotated output available as online Supplementary Materials). Several extensions of the basic LAMMA are considered, including artifact correction, multiple effect sizes from studies, and incorporating age as a predictor. It is hoped that LAMMA provides a framework for synthesizing longitudinal data to promote greater accumulation of knowledge in developmental science. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01