{"title":"A validation study of the self-compassion scale-short form (SCS-SF) with ant colony optimization in a Turkish sample","authors":"E. Koğar, Hakan Koğar","doi":"10.2298/psi211127015k","DOIUrl":null,"url":null,"abstract":"The general purpose of this studyis to validatethe Turkish version of the short form of Self- Compassion Scale by Ant Colony Optimization. For this purpose, data were collected from two different samples. Sample-1 (N=398) and Sample-2 (N=233) consist of young and middle-aged adults. Short form was created by selecting the most suitable items for unidimensional, two-factor correlated, six-factor correlated, six-factor higher-order, bifactor- CFA and bifactor-ESEM factor structures over Sample-1, and Confirmatory Factor Analysis and omega reliability findings were obtained. After the determination of the bifactor-ESEM with Sample-1 as the best factor structure, the model data fits and reliability indices of the relevant factor structure were cross-validatedon Sample-2. Strict measurement invariance was establishedbetween age groups. The results indicate that the SCS-SF developed in this studyis a valid and reliable measurement tool with a bifactor-ESEM structure with 12 items, 6 specific factors, and a general factor.","PeriodicalId":45301,"journal":{"name":"Psihologija","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Psihologija","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.2298/psi211127015k","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PSYCHOLOGY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The general purpose of this studyis to validatethe Turkish version of the short form of Self- Compassion Scale by Ant Colony Optimization. For this purpose, data were collected from two different samples. Sample-1 (N=398) and Sample-2 (N=233) consist of young and middle-aged adults. Short form was created by selecting the most suitable items for unidimensional, two-factor correlated, six-factor correlated, six-factor higher-order, bifactor- CFA and bifactor-ESEM factor structures over Sample-1, and Confirmatory Factor Analysis and omega reliability findings were obtained. After the determination of the bifactor-ESEM with Sample-1 as the best factor structure, the model data fits and reliability indices of the relevant factor structure were cross-validatedon Sample-2. Strict measurement invariance was establishedbetween age groups. The results indicate that the SCS-SF developed in this studyis a valid and reliable measurement tool with a bifactor-ESEM structure with 12 items, 6 specific factors, and a general factor.
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