Solutions for Latent Growth Modeling Following COVID-19-Related Discontinuities in Change and Disruptions in Longitudinal Data Collection

Autor/inn/en	Rioux, Charlie; Stickley, Zachary L.; Little, Todd D.
Titel	Solutions for Latent Growth Modeling Following COVID-19-Related Discontinuities in Change and Disruptions in Longitudinal Data Collection
Quelle	In: International Journal of Behavioral Development, 45 (2021) 5, S.463-473 (11 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Rioux, Charlie) ORCID (Stickley, Zachary L.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0165-0254
DOI	10.1177/01650254211031631
Schlagwörter	Longitudinal Studies; COVID-19; Pandemics; Simulation; Data Collection; Change; Kindergarten; Grade 1; School Closing; Achievement Tests; Child Development; Achievement Gains; Barriers; Research Problems; Crisis Management; Learning Analytics + Suchen Sie Ihr Suchwort? Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Simulation program; Simulationsprogramm; Data capture; Datensammlung; Wandel; School year 01; 1. Schuljahr; Schuljahr 01; School closings; Schule; Schließung; Schließung (von Schulen); Achievement test; Achievement; Testing; Test; Tests; Leistungsbeurteilung; Leistungsüberprüfung; Leistung; Testdurchführung; Testen; Kindesentwicklung; Achievement gain; Leistungssteigerung; Forschungskritik; Krisenmanagement
Abstract	Following the onset of the novel coronavirus disease 2019 (COVID-19) pandemic, daily life significantly changed for the population. Accordingly, researchers interested in examining patterns of change over time may now face discontinuities around the pandemic. Researchers collecting in-person longitudinal data also had to cancel or delay data collection waves, further complicating analyses. Accordingly, the purpose of this article is to aid researchers aiming to examine latent growth models (LGM) in analyzing their data following COVID-19. An overview of basic LGM notions, LGMs with discontinuities, and solutions for studies that had to cancel or delay data collection waves are discussed and exemplified using simulated data. Syntax for R and Mplus is available to readers in online supplemental materials. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01