کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5038902 1473029 2017 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The Looming Maladaptive Style Questionnaire: Measurement invariance and relations to anxiety and depression across 10 countries
ترجمه فارسی عنوان
پرسشنامه سبک ناسازگاری نوظهور: تغییر نگرش اندازه گیری و ارتباط با اضطراب و افسردگی در 10 کشور
کلمات کلیدی
سبک شناختی آموزشی، انحراف اندازه گیری، فرهنگی متقابل، مدلسازی معادلات ساختاری متاآنالیز، اضطراب، افسردگی،
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی روانپزشکی و بهداشت روانی
چکیده انگلیسی


- Measurement invariance of Looming Maladaptive Style Questionnaire evaluated.
- A two-factor model fitted the data well across 8 countries.
- Meta-analytic structural equation modeling used to model relations to symptoms.
- Across 10 countries, the looming factors predicted depression and anxiety symptoms.

The Looming Maladaptive Style Questionnaire (LMSQ) is a self-report measure designed to assess the looming cognitive style, a tendency to interpret threats as rapidly approaching and increasing in magnitude. To date, no systematic evaluation on the psychometric properties of the LMSQ across diverse cultural contexts has been done. In the present research, the measurement invariance of the LMSQ test scores was examined in 10 countries (N = 4000). Confirmatory factor analysis suggested that a two-factor model (i.e., physical looming and social looming) fitted the data well across countries. Partial measurement invariance was established for the LMSQ scores across the countries whereas full measurement invariance was achieved across gender. Meta-analytic structural equation modeling was applied to examine the unique contributions of the two looming factors to anxiety and depression symptoms. Results indicated that the test scores underlying two looming factors were crucial and valid predictors of symptoms. The LMSQ shows promise as a measure with cross-cultural generalizability and opens new avenues for its use in diverse cultural settings.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Anxiety Disorders - Volume 49, June 2017, Pages 1-11
نویسندگان
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