{"title":"菲律宾和美国修正的几乎完全标度的测量不变性","authors":"Clarissa M. E. Richardson, J. A. Datu","doi":"10.1080/21507686.2020.1808027","DOIUrl":null,"url":null,"abstract":"ABSTRACT The Almost Perfect Scale-Revised measures perfectionism using three subscales: Standards (i.e., expectations set by the self), Discrepancy (i.e., self-criticism related to not reaching these expectations or standards), and Order (i.e., tendency to appreciate orderliness). Measurement invariance was tested using undergraduate students from the Philippines (N = 487) and the United States (N = 396). Exploratory structural equation modelling models showed reasonable fit for a three-factor structure, and metric invariance was supported. Results suggest that we can trust comparison of correlation/regression coefficients across the two samples in addition to any comparisons between associations of predictors and various outcomes between the two samples.","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/21507686.2020.1808027","citationCount":"0","resultStr":"{\"title\":\"Measurement invariance of the almost perfect scale-revised in the Philippines and the United States\",\"authors\":\"Clarissa M. E. Richardson, J. A. Datu\",\"doi\":\"10.1080/21507686.2020.1808027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT The Almost Perfect Scale-Revised measures perfectionism using three subscales: Standards (i.e., expectations set by the self), Discrepancy (i.e., self-criticism related to not reaching these expectations or standards), and Order (i.e., tendency to appreciate orderliness). Measurement invariance was tested using undergraduate students from the Philippines (N = 487) and the United States (N = 396). Exploratory structural equation modelling models showed reasonable fit for a three-factor structure, and metric invariance was supported. Results suggest that we can trust comparison of correlation/regression coefficients across the two samples in addition to any comparisons between associations of predictors and various outcomes between the two samples.\",\"PeriodicalId\":0,\"journal\":{\"name\":\"\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0,\"publicationDate\":\"2020-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/21507686.2020.1808027\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1080/21507686.2020.1808027\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1080/21507686.2020.1808027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Measurement invariance of the almost perfect scale-revised in the Philippines and the United States
ABSTRACT The Almost Perfect Scale-Revised measures perfectionism using three subscales: Standards (i.e., expectations set by the self), Discrepancy (i.e., self-criticism related to not reaching these expectations or standards), and Order (i.e., tendency to appreciate orderliness). Measurement invariance was tested using undergraduate students from the Philippines (N = 487) and the United States (N = 396). Exploratory structural equation modelling models showed reasonable fit for a three-factor structure, and metric invariance was supported. Results suggest that we can trust comparison of correlation/regression coefficients across the two samples in addition to any comparisons between associations of predictors and various outcomes between the two samples.