کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
893275 | 914123 | 2007 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Multi-factor modeling in individual differences research: Some recommendations and suggestions
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب رفتاری
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چکیده انگلیسی
This paper offers some commentary and recommendations relevant the multi-factor modeling in individual differences research. Several similarities and distinctions between oblique factor modeling, higher-order modeling, Schmid–Leiman transformations, and nested factors modeling are discussed. An empirical illustration of the various multi-factor models is presented, based on 18 items derived from three Neuroticism facets within the NEO PI-R. Researchers are encouraged to always perform a Schmid–Leiman transformation to a higher-order model solution, as well as to consider the possibility that a nested factors model will yield superior model fit, in comparison to a higher-order model, as well as less ambiguous factor solutions.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Personality and Individual Differences - Volume 42, Issue 1, January 2007, Pages 37–48
Journal: Personality and Individual Differences - Volume 42, Issue 1, January 2007, Pages 37–48
نویسندگان
Gilles E. Gignac,