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Affective Norms for ۳۶۲ Persian Words

عنوان مقاله: Affective Norms for ۳۶۲ Persian Words
شناسه ملی مقاله: JR_JSDI-2-1_002
منتشر شده در در سال 1395
مشخصات نویسندگان مقاله:

Mahdi Bagheri - Department of Clinical Psychology, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
Behrooz Dolatshahi - Department of Clinical Psychology, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
Parvaneh Mohammadkhani - Department of Clinical Psychology, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
Elham Eskandari - Department of Clinical Child and Adolescent Psychology, Faculty of Education and Psychology, Shahid Beheshti University, Tehran, Iran

خلاصه مقاله:
Background: During the past two decades, a great deal of research has been conducted on developing affective norms for words in various languages, showing that there is an urgent need to create such norms in Persian language, too. The present study intended to develop a set of ۳۶۲ Persian words rated according to their emotional valence, arousal, imageability, and familiarity so as to prepare the ground for further research on emotional word processing. This was the first attempt to set affective norms for Persian words in the realm of emotion.Methods: Prior to the study, a multitude of words were selected from Persian dictionary and academic books in Persian literature. Secondly, three independent proficient experts in the Persian literature were asked to extract the suitable words from the list and to choose the best (defined as grammatically correct and most often used). The database normalization process was based on the ratings by a total of ۸۸ participants using a ۹-point Likert scale. Each participant evaluated about ۱۲۰ words on four different scales.Results: There were significant relationships between affective dimensions and some psycholinguistic variables. Also, further analyses were carried out to investigate the possible relationship between different features of valences (positive, negative, and neutral) and other variables included in the dataset. Conclusion: These affective norms for Persian words create a useful and valid dataset which will provide researchers with applying standard verbal materials as well as materials applied in other languages, e.g. English, German, French, Spanish, Portuguese, Dutch, etc.

کلمات کلیدی:
Affective ratings; Arousal; Imageability; Valence

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1546560/