{"title":"测试重要性加权:来自生活质量文献的教训","authors":"Chang‐ming Hsieh","doi":"10.1111/issj.12461","DOIUrl":null,"url":null,"abstract":"Abstract Marsh and Scalas (2018) proposed a taxonomic structural equation modelling approach to test the individually importance weighted‐average models (IWAMs) in their article published in Structural Equation Modeling: A Multidisciplinary Journal 25 : 137–158. As Marsh and Scalas (2018) pointed out, IWAMs could be found in many research areas, including self‐concept, job satisfaction and quality of life (QOL) research. Based on the findings of their proposed approach, Marsh and Scalas (2018) argued that importance weights do not make a difference. The purpose of this paper is to assess the applicability of the approach developed by Marsh and Scalas (2018) and their conclusion that importance weights do not make a difference in the area of QOL, specifically subjective well‐being, research. In the research area of QOL, IWAMs have been discussed often under the topic of domain importance weighting. Findings from an analysis of the Panel Study of Income Dynamics’ Wellbeing and Daily Life Supplement data show that different domain importance weighting methods, based on different underlying (within‐domain vs between/across‐domain) perspectives, produced different results leading to different conclusions. Although the approach for testing IWAMs developed by Marsh and Scalas (2018) offered several methodological advances and strengths, its applicability to the evaluation of domain importance weighting in QOL studies is limited by its underlying (within‐domain) perspective, its assumption that domain importance can be accurately and precisely measured, and the possibility of the small effect size of domain importance. Marsh and Scalas’ (2018) findings that importance weights do not make a difference should be interpreted with caution.","PeriodicalId":35727,"journal":{"name":"International Social Science Journal","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Testing importance weighting: Lessons from the quality of life literature\",\"authors\":\"Chang‐ming Hsieh\",\"doi\":\"10.1111/issj.12461\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Marsh and Scalas (2018) proposed a taxonomic structural equation modelling approach to test the individually importance weighted‐average models (IWAMs) in their article published in Structural Equation Modeling: A Multidisciplinary Journal 25 : 137–158. As Marsh and Scalas (2018) pointed out, IWAMs could be found in many research areas, including self‐concept, job satisfaction and quality of life (QOL) research. Based on the findings of their proposed approach, Marsh and Scalas (2018) argued that importance weights do not make a difference. The purpose of this paper is to assess the applicability of the approach developed by Marsh and Scalas (2018) and their conclusion that importance weights do not make a difference in the area of QOL, specifically subjective well‐being, research. In the research area of QOL, IWAMs have been discussed often under the topic of domain importance weighting. Findings from an analysis of the Panel Study of Income Dynamics’ Wellbeing and Daily Life Supplement data show that different domain importance weighting methods, based on different underlying (within‐domain vs between/across‐domain) perspectives, produced different results leading to different conclusions. Although the approach for testing IWAMs developed by Marsh and Scalas (2018) offered several methodological advances and strengths, its applicability to the evaluation of domain importance weighting in QOL studies is limited by its underlying (within‐domain) perspective, its assumption that domain importance can be accurately and precisely measured, and the possibility of the small effect size of domain importance. Marsh and Scalas’ (2018) findings that importance weights do not make a difference should be interpreted with caution.\",\"PeriodicalId\":35727,\"journal\":{\"name\":\"International Social Science Journal\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Social Science Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1111/issj.12461\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Social Science Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1111/issj.12461","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
Testing importance weighting: Lessons from the quality of life literature
Abstract Marsh and Scalas (2018) proposed a taxonomic structural equation modelling approach to test the individually importance weighted‐average models (IWAMs) in their article published in Structural Equation Modeling: A Multidisciplinary Journal 25 : 137–158. As Marsh and Scalas (2018) pointed out, IWAMs could be found in many research areas, including self‐concept, job satisfaction and quality of life (QOL) research. Based on the findings of their proposed approach, Marsh and Scalas (2018) argued that importance weights do not make a difference. The purpose of this paper is to assess the applicability of the approach developed by Marsh and Scalas (2018) and their conclusion that importance weights do not make a difference in the area of QOL, specifically subjective well‐being, research. In the research area of QOL, IWAMs have been discussed often under the topic of domain importance weighting. Findings from an analysis of the Panel Study of Income Dynamics’ Wellbeing and Daily Life Supplement data show that different domain importance weighting methods, based on different underlying (within‐domain vs between/across‐domain) perspectives, produced different results leading to different conclusions. Although the approach for testing IWAMs developed by Marsh and Scalas (2018) offered several methodological advances and strengths, its applicability to the evaluation of domain importance weighting in QOL studies is limited by its underlying (within‐domain) perspective, its assumption that domain importance can be accurately and precisely measured, and the possibility of the small effect size of domain importance. Marsh and Scalas’ (2018) findings that importance weights do not make a difference should be interpreted with caution.
期刊介绍:
The International Social Science Journal bridges social science communities across disciplines and continents with a view to sharing information and debate with the widest possible audience. The ISSJ has a particular focus on interdisciplinary and transdisciplinary work that pushes the boundaries of current approaches, and welcomes both applied and theoretical research. Originally founded by UNESCO in 1949, ISSJ has since grown into a forum for innovative review, reflection and discussion informed by recent and ongoing international, social science research. It provides a home for work that asks questions in new ways and/or employs original methods to classic problems and whose insights have implications across the disciplines and beyond the academy. The journal publishes regular editions featuring rigorous, peer-reviewed research articles that reflect its international and heterodox scope.