The present study aims to illustrate an encompassing approach to the evaluation of personality factor structure replicability based on novel exploratory structural equation modeling (ESEM) methods. This approach comprises formal tests of measurement invariance applied to the flexible ESEM framework and overcomes the limitations of congruence measures that have traditionally been used to assess factor replicability in personality research. On the basis of 1566 responses to the widely-used NEO Five-Factor-Inventory (NEO-FFI), we demonstrate this ESEM approach in the context of examining the invariance of the NEO-FFI factor structure across gender. The approach is shown to converge with traditional congruence measures and extend these measures for examining factorial structure consistency. In addition, more general replicative data supporting the validity of the NEO-FFI are reported. We discuss the ESEM approach as a viable alternative to the congruence approach and acknowledge some important limitations of the method. (C) 2015 Elsevier Ltd. All rights reserved.
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Yonsei Univ, Dept Sport & Leisure Studies, 50 Yonsei Ro, Seoul 120749, South KoreaYonsei Univ, Dept Sport & Leisure Studies, 50 Yonsei Ro, Seoul 120749, South Korea
Chiu, Weisheng
Rodriguez, Fernando M.
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Kenyon Coll, Athlet Dept, Gambier, OH 43022 USAYonsei Univ, Dept Sport & Leisure Studies, 50 Yonsei Ro, Seoul 120749, South Korea
Rodriguez, Fernando M.
Won, Doyeon
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Yonsei Univ, Dept Sport & Leisure Studies, 50 Yonsei Ro, Seoul 120749, South KoreaYonsei Univ, Dept Sport & Leisure Studies, 50 Yonsei Ro, Seoul 120749, South Korea
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North West Univ, Africa Unit Transdisciplinary Hlth Res, Potchefstroom Campus, ZA-2531 Potchefstroom, South AfricaNorth West Univ, Africa Unit Transdisciplinary Hlth Res, Potchefstroom Campus, ZA-2531 Potchefstroom, South Africa
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Univ Oxford, Dept Educ, Oxford OX1 2JD, England
Univ Western Sydney, Dept Educ Psychol, Penrith, NSW 1797, Australia
King Saud Univ, Dept Educ, Riyadh, Saudi ArabiaUniv Oxford, Dept Educ, Oxford OX1 2JD, England
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Guizhou Normal Univ, Sch Psychol, Guiyang, Peoples R China
Guizhou Normal Univ, Ctr Big Data Res Psychol, Guiyang, Peoples R ChinaGuizhou Normal Univ, Sch Psychol, Guiyang, Peoples R China
Chen, Wei
Peng, Kaijing
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Guizhou Normal Univ, Sch Psychol, Guiyang, Peoples R China
Guizhou Normal Univ, Ctr Big Data Res Psychol, Guiyang, Peoples R ChinaGuizhou Normal Univ, Sch Psychol, Guiyang, Peoples R China
Peng, Kaijing
Gao, Meihui
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Guizhou Normal Univ, Sch Psychol, Guiyang, Peoples R China
Guizhou Normal Univ, Ctr Big Data Res Psychol, Guiyang, Peoples R ChinaGuizhou Normal Univ, Sch Psychol, Guiyang, Peoples R China
Gao, Meihui
Meng, Zhu
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Guizhou Normal Univ, Sch Psychol, Guiyang, Peoples R China
Guizhou Normal Univ, Ctr Big Data Res Psychol, Guiyang, Peoples R ChinaGuizhou Normal Univ, Sch Psychol, Guiyang, Peoples R China
Meng, Zhu
Wang, Luolan
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Guizhou Normal Univ, Sch Psychol, Guiyang, Peoples R China
Guizhou Normal Univ, Ctr Big Data Res Psychol, Guiyang, Peoples R ChinaGuizhou Normal Univ, Sch Psychol, Guiyang, Peoples R China
Wang, Luolan
Liao, Yaxi
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Guizhou Normal Univ, Sch Psychol, Guiyang, Peoples R China
Guizhou Normal Univ, Ctr Big Data Res Psychol, Guiyang, Peoples R ChinaGuizhou Normal Univ, Sch Psychol, Guiyang, Peoples R China