An Illustration of the Exploratory Structural Equation Modeling (ESEM) Framework on the Passion Scale.

ABSTRACT: While exploratory factor analysis (EFA) provides a more realistic presentation of the data with the allowance of item cross-loadings, confirmatory factor analysis (CFA) includes many methodological advances that the former does not. To create a synergy of the two, exploratory structural equation modeling (ESEM) was proposed as an alternative solution, incorporating the advantages of EFA and CFA. The present investigation is thus an illustrative demonstration of the applicability and flexibility of ESEM. To achieve this goal, we compared CFA and ESEM models, then thoroughly tested measurement invariance and differential item functioning through multiple-indicators-multiple-causes (MIMIC) models on the Passion Scale, the only measure of the Dualistic Model of Passion (DMP) which differentiat

SUBMITTER: Toth-Kiraly I 

PROVIDER: S-EPMC5681952 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature