2023
DOI: 10.1016/j.jsp.2023.03.003
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Demystifying longitudinal data analyses using structural equation models in school psychology

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Cited by 6 publications
(2 citation statements)
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“…The statistical procedure used to assess the assumptions of both studies was established for the modeling of latent variables using PLS-SEM [75][76][77][78][79][80]. The latent variable approach, widely applied in certain fields such as psychology [81,82], aims to measure relationships between latent variables or dimensions that have the characteristic of reflecting constructs that are not immediately observable. Using two separate regression models, it is possible to measure latent factors using manifest indicators (items on a questionnaire, for example) and verify the relationship between these dimensions.…”
Section: Latent Variables Approach: Pls-sem and Cb-semmentioning
confidence: 99%
“…The statistical procedure used to assess the assumptions of both studies was established for the modeling of latent variables using PLS-SEM [75][76][77][78][79][80]. The latent variable approach, widely applied in certain fields such as psychology [81,82], aims to measure relationships between latent variables or dimensions that have the characteristic of reflecting constructs that are not immediately observable. Using two separate regression models, it is possible to measure latent factors using manifest indicators (items on a questionnaire, for example) and verify the relationship between these dimensions.…”
Section: Latent Variables Approach: Pls-sem and Cb-semmentioning
confidence: 99%
“…In the current study, we used structural equation modeling (SEM) to examine the relationships among the three and verify the mediating effect of negative emotions on the relationship between trait impulsivity and EFs. SEM is a set of multivariate statistical techniques used to measure latent (unobserved) variables with sets of observed indicators and then to analyze the structural relationships between the latent variables or between observed covariates and latent variables [27][28][29]. Based on previous studies, we propose two hypotheses: (H1) trait impulsivity positively predicts EF decline among patients with T2DM, and (H2) negative emotions such as depression, anxiety, and stress mediate the relationship between trait impulsivity and EFs.…”
Section: Introductionmentioning
confidence: 99%