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

被引:103
作者
Toth-Kiraly, Istvan [1 ,2 ]
Bothe, Beata [1 ,3 ]
Rigo, Adrien [2 ]
Orosz, Gabor [4 ,5 ]
机构
[1] Eotvos Lorand Univ, Doctoral Sch Psychol, Budapest, Hungary
[2] Eotvos Lorand Univ, Inst Psychol, Dept Personal & Hlth Psychol, Budapest, Hungary
[3] Eotvos Lorand Univ, Inst Psychol, Dept Clin Psychol & Addict, Budapest, Hungary
[4] Eotvos Lorand Univ, Inst Psychol, Dept Social Psychol, Budapest, Hungary
[5] Hungarian Acad Sci MTA, Inst Cognit Neurosci & Psychol, Res Ctr Nat Sci, Budapest, Hungary
关键词
differential item functioning (DIF); dualistic model of passion (DMP); exploratory structural equation modeling (ESEM); Hungarian version; hybrid modeling approach; measurement invariance; multiple indicators multiple causes (MIMIC) model; passion scale; GOODNESS-OF-FIT; CONFIRMATORY FACTOR-ANALYSIS; SHORT-FORM; MEASUREMENT INVARIANCE; FACTORIAL INVARIANCE; CUTOFF VALUES; INDEXES; REPRESENTATION; RECOMMENDATIONS; QUESTIONNAIRE;
D O I
10.3389/fpsyg.2017.01968
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
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 differentiates between harmonious and obsessive forms of passion. Moreover, a hybrid model was also created to overcome the drawbacks of the two methods. Analyses of the first large community sample (N = 7,466; 67.7% females; M-age = 26.01) revealed the superiority of the ESEM model relative to CFA in terms of improved goodness-of-fit and less correlated factors, while at the same time retaining the high definition of the factors. However, this fit was only achieved with the inclusion of three correlated uniquenesses, two of which appeared in previous studies and one of which was specific to the current investigation. These findings were replicated on a second, comprehensive sample (N = 504; 51.8% females; M-age = 39.59). After combining the two samples, complete measurement invariance (factor loadings, item intercepts, item uniquenesses, factor variances-covariances, and latent means) was achieved across gender and partial invariance across age groups and their combination. Only one item intercept was non-invariant across both multigroup and MIMIC approaches, an observation that was further corroborated by the hybrid model. While obsessive passion showed a slight decline in the hybrid model, harmonious passion did not. Overall, the ESEM framework is a viable alternative of CFA that could be used and even extended to address substantially important questions and researchers should systematically compare these two approaches to identify the most suitable one.
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页数:15
相关论文
共 70 条
[1]   Examination of the Structure and Grade-Related Differentiation of Multidimensional Self-Concept Instruments for Children Using ESEM [J].
Arens, A. Katrin ;
Morin, Alexandre J. S. .
JOURNAL OF EXPERIMENTAL EDUCATION, 2016, 84 (02) :330-355
[2]   Bayesian Structural Equation Modeling With Cross-Loadings and Residual Covariances: Comments on Stromeyer et al. [J].
Asparouhov, Tihomir ;
Muthen, Bengt ;
Morin, Alexandre J. S. .
JOURNAL OF MANAGEMENT, 2015, 41 (06) :1561-1577
[3]   Exploratory Structural Equation Modeling [J].
Asparouhov, Tihomir ;
Muthen, Bengt .
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 2009, 16 (03) :397-438
[4]   A More General Model for Testing Measurement Invariance and Differential Item Functioning [J].
Bauer, Daniel J. .
PSYCHOLOGICAL METHODS, 2017, 22 (03) :507-526
[5]   Guidelines for the process of cross-cultural adaptation of self-report measures [J].
Beaton, DE ;
Bombardier, C ;
Guillemin, F ;
Ferraz, MB .
SPINE, 2000, 25 (24) :3186-3191
[6]  
Brown T. A., 2015, Confirmatory Factor Analysis for Applied Research, V2nd ed., DOI DOI 10.19030/AJBE.V6I3.7818
[7]   An overview of analytic rotation in exploratory factor analysis [J].
Browne, MW .
MULTIVARIATE BEHAVIORAL RESEARCH, 2001, 36 (01) :111-150
[8]   Psychometric properties of the Spanish version of the Passion Scale [J].
Chamarro, Andres ;
Penelo, Eva ;
Fornieles, Albert ;
Oberst, Ursula ;
Vallerand, Robert J. ;
Fernandez-Castro, Jordi .
PSICOTHEMA, 2015, 27 (04) :402-409
[9]   An empirical evaluation of the use of fixed cutoff points in RMSEA test statistic in structural equation models [J].
Chen, Feinian ;
Curran, Patrick J. ;
Bollen, Kenneth A. ;
Kirby, James ;
Paxton, Pamela .
SOCIOLOGICAL METHODS & RESEARCH, 2008, 36 (04) :462-494
[10]   Sensitivity of goodness of fit indexes to lack of measurement invariance [J].
Chen, Fang Fang .
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 2007, 14 (03) :464-504