#9187. Solutions for latent growth modeling following COVID-19-related discontinuities in change and disruptions in longitudinal data collection

August 2026publication date
Proposal available till 26-05-2025
4 total number of authors per manuscript3000 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Social Sciences (miscellaneous);
Education;
Life-span and Life-course Studies;
Social Psychology;
Developmental and Educational Psychology;
Developmental Neuroscience;
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Abstract:
Following the onset of the novel coronavirus disease 20XX (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.
Keywords:
analysis; discontinuity; Growth curve; missing data; SARS-COV-2

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