Gender Comparison of Image Perception and Preferences for Spring • Summer Shirt Yarn-dyed Fabrics

التفاصيل البيبلوغرافية
العنوان: Gender Comparison of Image Perception and Preferences for Spring • Summer Shirt Yarn-dyed Fabrics
المؤلفون: Zhiya Dong, Xiaoxi Zhou
المصدر: Journal of Fiber Bioengineering and Informatics. 8:771-782
بيانات النشر: Textile Bioengineering and Informatics Society, 2015.
سنة النشر: 2015
مصطلحات موضوعية: Variance test, Engineering, General Computer Science, business.industry, media_common.quotation_subject, technology, industry, and agriculture, Regression analysis, Perception, Independent samples, General Materials Science, Semantic differential, business, Social psychology, Gender comparison, Image perception, media_common
الوصف: The research proposes to extract data of male and female consumers’ image perception and preferences in yarn-dyed fabrics for spring and summer shirts. The Semantic Differential (SD) evaluation on representative fabric samples by two groups of subjects was accomplished following the standardized sensory evaluation procedures. The differences in terms of image perception in yarn-dyed fabrics between male and female subjects was identified through Levene homogeneity variance test and independent samples T-test, and the evaluation factors of subjects’ image perception was classified into 6 factors through factor analysis. The relationships between image word-pairs and subjects’ preferences were validated with regression analysis. Experiment results show an evident difference in terms of image perceptions, preferences and the factors affecting preferences of the yarn-dyed fabrics between male and female subjects. The quantitative data could consequently provide guidance to help designing and producing differentiated yarn-dyed fabrics for designated sex consumers.
تدمد: 2617-8699
1940-8676
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::f20535b159261d3fe26c83966df6735fTest
https://doi.org/10.3993/jfbim00181Test
رقم الانضمام: edsair.doi...........f20535b159261d3fe26c83966df6735f
قاعدة البيانات: OpenAIRE