{"title":"Hindi Adaptation and validation of Body Image Concern Inventory","authors":"Kanchan Verma","doi":"10.56011/mind-mri-121-20234","DOIUrl":null,"url":null,"abstract":"The present study aimed to adapt Body Image Concern Inventory (BICI) into Hindi language and assess the psychometric properties of the scale in Hindi speaking population. This scale was originally developed by Littleton, Axson and Pure in 2005. World Health Organization guideline of translation and adaptation of scale has been followed to translate this scale into Hindi. After the completion of translation process, the Hindi version of BICI, Body Dissatisfaction Scale, Rosenberg’s Self-esteem Scale, and General Mental Health Questionnaire-28 has been administered to the sample. The age range of participants was 15-25years (76 male and 81 female). In the end, the factor structure and psychometric properties of the scale were evaluated. The exploratory factor analysis identified two factors. First factor consists of 12 item that are labelled “symptom interference” and the second factor consists of 7 items labelled as “dysmorphic symptoms”. The reliability of the subscales as well as full scale was found satisfactory (For symptom Interference r=.828, for Dysmorphic symptoms r=.789, for full scale r=.871). The concurrent validity of the scale ranged from .38 to .42. Comprehensively, the finding suggest that the Hindi version of BICI is a reliable and valid tool and might useful for research purposes as well as for assessing appearance concerns in Hindi-speaking zones. \nKeywords: Body image concern inventory, Hindi adaptation, Psychometric properties, Factor Structure","PeriodicalId":35394,"journal":{"name":"Mind and Society","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mind and Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56011/mind-mri-121-20234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Arts and Humanities","Score":null,"Total":0}
引用次数: 0
Abstract
The present study aimed to adapt Body Image Concern Inventory (BICI) into Hindi language and assess the psychometric properties of the scale in Hindi speaking population. This scale was originally developed by Littleton, Axson and Pure in 2005. World Health Organization guideline of translation and adaptation of scale has been followed to translate this scale into Hindi. After the completion of translation process, the Hindi version of BICI, Body Dissatisfaction Scale, Rosenberg’s Self-esteem Scale, and General Mental Health Questionnaire-28 has been administered to the sample. The age range of participants was 15-25years (76 male and 81 female). In the end, the factor structure and psychometric properties of the scale were evaluated. The exploratory factor analysis identified two factors. First factor consists of 12 item that are labelled “symptom interference” and the second factor consists of 7 items labelled as “dysmorphic symptoms”. The reliability of the subscales as well as full scale was found satisfactory (For symptom Interference r=.828, for Dysmorphic symptoms r=.789, for full scale r=.871). The concurrent validity of the scale ranged from .38 to .42. Comprehensively, the finding suggest that the Hindi version of BICI is a reliable and valid tool and might useful for research purposes as well as for assessing appearance concerns in Hindi-speaking zones.
Keywords: Body image concern inventory, Hindi adaptation, Psychometric properties, Factor Structure
期刊介绍:
Mind & Society is a journal for ideas, explorations, investigations and discussions on the interaction between the human mind and the societal environments. Scholars from all fields of inquiry who entertain and examine various aspects of these interactions are warmly invited to submit their work. The journal welcomes case studies, theoretical analysis and modeling, data analysis and reports (quantitative and qualitative) that can offer insight into existing frameworks or offer views and reason for the promise of new directions for the study of interaction between the mind and the society. The potential contributors are particularly encouraged to carefully consider the impact of their work on societal functions in private and public sectors, and to dedicate part of their discussion to an explicit clarification of such, existing or potential, implications.Officially cited as: Mind Soc