کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
892175 | 914070 | 2009 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Using hybrid Rasch-latent class modeling to improve the detection of fakers on a personality inventory
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موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب رفتاری
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چکیده انگلیسی
We investigated the ability of hybrid Rasch-latent class modeling to discriminate between respondents instructed either to answer honestly or to fake on a self-report personality inventory. For 347 undergraduate participants in a military induction scenario, modeling applications identified a posteriori either two or three distinct Rasch class types of respondents for a scale of socially desirable responding. Subsequently, both the two- and the three-class typologies differentiated significantly between honest and faking respondents. Further, these typologies had incremental validity, relative to the standard scoring of a validity scale, for the identification of respondents who were faking.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Personality and Individual Differences - Volume 47, Issue 3, August 2009, Pages 185–190
Journal: Personality and Individual Differences - Volume 47, Issue 3, August 2009, Pages 185–190
نویسندگان
Ronald R. Holden, Angela S. Book,