دانلود مقاله ISI انگلیسی شماره 51127
ترجمه فارسی عنوان مقاله

آزمون های تغییر ناپذیری اندازه گیری مدیریت تأثیر تحت مقیاس پرسشنامه متوازن پاسخ مطلوب

عنوان انگلیسی
Measurement invariance tests of the Impression Management sub-scale of the Balanced Inventory of Desirable Responding
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
51127 2014 5 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Personality and Individual Differences, Volume 63, June 2014, Pages 36–40

ترجمه کلمات کلیدی
تغییر ناپذیری اندازه گیری؛ تجزیه و تحلیل گروه های متعدد؛ هم ارزی اندازه گیری؛ مدیریت تأثیر - ناشناس؛ محرمانه؛ تحلیل عاملی تأییدی؛ شبه آزمایش
کلمات کلیدی انگلیسی
Measurement invariance; Multiple group analysis; Measurement equivalence; Impression Management; Anonymous; Confidential; Confirmatory factor analysis; Quasi-experiment
پیش نمایش مقاله
پیش نمایش مقاله  آزمون های تغییر ناپذیری اندازه گیری مدیریت تأثیر تحت مقیاس پرسشنامه متوازن پاسخ مطلوب

چکیده انگلیسی

The Impression Management (IM) subscale of the Balanced Inventory of Desirable Responding (Paulhus, 1988) has been used as a proxy for common method variance in anonymous settings and as a cause of faking on personality testing in confidential settings. This study uses confirmatory factor analysis to conduct measurement invariance/equivalence tests (also known as multiple group analysis) on the IM subscale in a quasi-experiment in anonymous and confidential data collection settings. Using Brown’s (2006) bottom-up approach to Cheung and Rensvold’s (1999) model testing steps and Cheung and Rensvold’s (2002) statistical tests, the IM sub-scale was determined to have equal form, equal factor loadings, equal indicator error variances, equal factor variance, and an equal factor covariance in both 1-factor and 2-factor models in both data collection settings. Mean scale scores were significantly higher in the confidential group than in the anonymous group. These results suggest that using the IM sub-scale as a cause of faking and as a proxy for common method variance (CMV) is likely to be acceptable because the psychometric properties of the instrument are invariant across testing conditions.