Proximity of Clothing to Self Concept: Understanding Differences across the Demographics in Pakistan

Abstract

This paper presents methods and results of a multi-dimensional research program whose objective is to investigate the impact of multi-dimensional attribute proximity of clothing to self (PCS) on selected women population of Pakistan across demographic factors like age, income and region. This study also validates the results from 39-item PCS scale over people’s experience of clothing and investigates its impact on academic or job performance. Analysis of Variances (ANOVA) is applied to measure the significant relations between variables. Linear regression is done for manipulating the relation between two variables. Exploratory factor analysis is used to reduce dimensions and for the calculation of variances. LISREL is used to develop structural relationships between dimensions of PCS and assess the internal consistency of the scales. Recommendations for future research investigating, relation of proximity of clothing to self and other attributes are made. The exploratory correlation analyses will be able to lead the development of more advanced directional analyses among these variables in future research.

Keywords:  Pakistan, Clothing, Fashion, job performance, women, demographics