Utility of a slopes difference test for probing longitudinal multilevel aptitude treatment interactions: a simulation.
aptitude-treatment interaction
longitudinal
multilevel
precision education
simulation
skill-by-treatment interaction
slopes difference test
Journal
Frontiers in psychology
ISSN: 1664-1078
Titre abrégé: Front Psychol
Pays: Switzerland
ID NLM: 101550902
Informations de publication
Date de publication:
2023
2023
Historique:
received:
02
02
2023
accepted:
01
06
2023
medline:
13
7
2023
pubmed:
13
7
2023
entrez:
13
7
2023
Statut:
epublish
Résumé
To determine which interventions work best for which students, precision education researchers can examine aptitude-treatment interactions (ATI) or skill-by-treatment interactions (STI) using longitudinal multilevel modeling. Probing techniques like the slopes difference test fit an ATI or STI framework, but power for using slopes difference tests in longitudinal multilevel modeling is unknown. The current study used simulation to determine which design factors influence the power of slopes difference tests. Design factors included effect size, number of waves, number of clusters, participants per cluster, proportion of assignment to the treatment group, and intraclass correlation. Of these factors, effect size, number of waves, number of clusters, and participants per cluster were the strongest determinants of power, model convergence, and rates of singularity. Slopes difference tests had greater power in longitudinal multilevel modeling than where it is originally utilized: multiple regression.
Identifiants
pubmed: 37441330
doi: 10.3389/fpsyg.2023.1156962
pmc: PMC10335001
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1156962Informations de copyright
Copyright © 2023 DeJong and Chen.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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