دانلود رایگان مقاله ارزیابی تغییر ناپذیری اندازه گیری مقیاس هوش فرهنگی چهار بعدی

عنوان فارسی
ارزیابی تغییر ناپذیری اندازه گیری مقیاس هوش فرهنگی چهار بعدی در سراسر کشور: رویکرد مدل ترکیبی
عنوان انگلیسی
Assessing the measurement invariance of the four-dimensional cultural intelligence scale across countries: A composite model approach
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
17
سال انتشار
2016
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E3244
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مدیریت
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مدیریت کسب و کار
مجله
مجله اروپایی مدیریت و اقتصاد کسب و کار - European Journal of Management and Business Economics
دانشگاه
دانشگاه اتو فون Guericke ماگدبورگ، دانشکده اقتصاد و مدیریت، آلمان
کلمات کلیدی
هوش فرهنگی، تغییر ناپذیری اندازه گیری، حداقل مربعات جزئی، PLS-SEM؛ MICOM، مدل های مرکب. قصد مهاجرت
چکیده

Abstract


Over the past decade, the cultural intelligence construct and its underlying dimensions have been used in a number of studies. Prior research has tested the determinants and outcomes of cultural intelligence, using pooled data from different countries and cultures, and has compared the results across contexts. However, these studies often disregarded measurement invariance, which is a necessary requirement for such analyses. We assess the measurement invariance of the commonly used four-dimensional cultural intelligence scale across five countries (China, France, Germany, Turkey, and the U.S.) by means of a composite model logic, using partial least squares structural equation modeling (PLS-SEM). Our results question the scale's dimensionality concerning China and France, and reveal an item set that is invariant across the other countries. Our findings indicate that researchers should be aware of the potential lack of measurement invariance regarding the standard measurement of cultural intelligence. They should therefore be cautious when comparing the results of cross-country and cross-cultural research.

نتیجه گیری

6. Conclusion


We have assessed the measurement invariance of Ang et al.'s (2006) four-dimensional CQ scale across five countries employing a composite model approach to predict expatriation intentions. The PLS-SEM-based MICOM procedure results suggest that the CQ scale's dimensionality is not equal across all the countries, indicating the most commonly used measure of CQ lacks measurement invariance. Further analysis reveals an item set that is invariant across Germany, Turkey, and the U.S. Jointly, these results suggest that researchers should be cautious when comparing the results of cross-country and cross-cultural research.


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