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Performance of second-order latent growth model under partial longitudinal measurement invariance: A comparison of two scaling approaches

Title
Performance of second-order latent growth model under partial longitudinal measurement invariance: A comparison of two scaling approaches
Authors
Jeon, MinjeongKim, Su-Young
Ewha Authors
김수영
SCOPUS Author ID
김수영scopus
Issue Date
2021
Journal Title
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
ISSN
1070-5511JCR Link

1532-8007JCR Link
Citation
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL vol. 28, no. 2, pp. 261 - 277
Keywords
Second-order latent growth modelsscaling methodsmarker variableeffects codinglongitudinal measurement invariance
Publisher
ROUTLEDGE JOURNALS, TAYLOR &

FRANCIS LTD
Indexed
SCIE; SSCI; SCOPUS WOS
Document Type
Article
Abstract
Second-order latent growth models (SLGMs) have recently been highlighted over the traditional first-order latent growth model. Although SLGMs can show several intuitive strengths, the model has remained less understood due to the issue of scaling-related misspecification. As one source of model misspecification, scaling could influence the estimation of SLGM. Since the impact could differ depending on which scaling method is employed, selecting a scaling method becomes crucial for the practical use of SLGM. The present study investigated and compared the impact of two different scaling methods for the estimation of SLGM under various partial measurement invariance situations. The results of comprehensive Monte Carlo simulations do not support a single superior scaling method under all generated partial MI conditions. In this regard, the careful and strategic selection of a scaling method in the context of SLGM is required, as discussed in the final section of the study.
DOI
10.1080/10705511.2020.1783270
Appears in Collections:
사회과학대학 > 심리학전공 > Journal papers
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