Against the Mainstream: On the Limitations of Non-Invariance Diagnostics: Response to Fischer et al. and Meuleman et al.

IF 6.5 2区 社会学 Q1 SOCIAL SCIENCES, MATHEMATICAL METHODS Sociological Methods & Research Pub Date : 2022-04-07 DOI:10.1177/00491241221091754
C. Welzel, S. Kruse, Lennart Brunkert
{"title":"Against the Mainstream: On the Limitations of Non-Invariance Diagnostics: Response to Fischer et al. and Meuleman et al.","authors":"C. Welzel, S. Kruse, Lennart Brunkert","doi":"10.1177/00491241221091754","DOIUrl":null,"url":null,"abstract":"Our original 2021 SMR article “Non-Invariance? An Overstated Problem with Misconceived Causes” disputes the conclusiveness of non-invariance diagnostics in diverse cross-cultural settings. Our critique targets the increasingly fashionable use of Multi-Group Confirmatory Factor Analysis (MGCFA), especially in its mainstream version. We document—both by mathematical proof and an empirical illustration—that non-invariance is an arithmetic artifact of group mean disparity on closed-ended scales. Precisely this arti-factualness renders standard non-invariance markers inconclusive of measurement inequivalence under group-mean diversity. Using the Emancipative Values Index (EVI), OA-Section 3 of our original article demonstrates that such artifactual non-invariance is inconsequential for multi-item constructs’ cross-cultural performance in nomological terms, that is, explanatory power and predictive quality. Given these limitations of standard non-invariance diagnostics, we challenge the unquestioned authority of invariance tests as a tool of measurement validation. Our critique provoked two teams of authors to launch counter-critiques. We are grateful to the two comments because they give us a welcome opportunity to restate our position in greater clarity. Before addressing the comments one by one, we reformulate our key propositions more succinctly.","PeriodicalId":21849,"journal":{"name":"Sociological Methods & Research","volume":"52 1","pages":"1438 - 1455"},"PeriodicalIF":6.5000,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sociological Methods & Research","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/00491241221091754","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL SCIENCES, MATHEMATICAL METHODS","Score":null,"Total":0}
引用次数: 3

Abstract

Our original 2021 SMR article “Non-Invariance? An Overstated Problem with Misconceived Causes” disputes the conclusiveness of non-invariance diagnostics in diverse cross-cultural settings. Our critique targets the increasingly fashionable use of Multi-Group Confirmatory Factor Analysis (MGCFA), especially in its mainstream version. We document—both by mathematical proof and an empirical illustration—that non-invariance is an arithmetic artifact of group mean disparity on closed-ended scales. Precisely this arti-factualness renders standard non-invariance markers inconclusive of measurement inequivalence under group-mean diversity. Using the Emancipative Values Index (EVI), OA-Section 3 of our original article demonstrates that such artifactual non-invariance is inconsequential for multi-item constructs’ cross-cultural performance in nomological terms, that is, explanatory power and predictive quality. Given these limitations of standard non-invariance diagnostics, we challenge the unquestioned authority of invariance tests as a tool of measurement validation. Our critique provoked two teams of authors to launch counter-critiques. We are grateful to the two comments because they give us a welcome opportunity to restate our position in greater clarity. Before addressing the comments one by one, we reformulate our key propositions more succinctly.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
反对主流:论非不变诊断的局限性:对Fischer等人与Meuleman等人的回应。
我们2021年SMR的原创文章《非不变性?一个有错误原因的过度陈述问题》对非不变性诊断在不同跨文化环境中的结论性提出了质疑。我们的批评针对的是越来越流行的多组确证因子分析(MGCFA)的使用,尤其是在其主流版本中。我们通过数学证明和经验说明证明,非不变性是封闭尺度上群平均视差的算术伪影。正是这种人为的事实性使得标准的非不变性标记在群均值多样性下的测量不等价性是不确定的。利用解放价值指数(EVI),OA在我们原文章的第3节中证明,这种人为的非不变性对于多项目结构在法理方面的跨文化表现,即解释力和预测质量来说是无关紧要的。鉴于标准非不变性诊断的这些局限性,我们对不变性测试作为测量验证工具的权威性提出了质疑。我们的批评激起了两个作者团队的反批评。我们感谢这两项评论,因为它们给了我们一个更明确地重申我们立场的机会。在逐一讨论这些意见之前,我们更简洁地重新表述了我们的主要主张。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
16.30
自引率
3.20%
发文量
40
期刊介绍: Sociological Methods & Research is a quarterly journal devoted to sociology as a cumulative empirical science. The objectives of SMR are multiple, but emphasis is placed on articles that advance the understanding of the field through systematic presentations that clarify methodological problems and assist in ordering the known facts in an area. Review articles will be published, particularly those that emphasize a critical analysis of the status of the arts, but original presentations that are broadly based and provide new research will also be published. Intrinsically, SMR is viewed as substantive journal but one that is highly focused on the assessment of the scientific status of sociology. The scope is broad and flexible, and authors are invited to correspond with the editors about the appropriateness of their articles.
期刊最新文献
Sharing Big Video Data: Ethics, Methods, and Technology Dynamics of Health Expectancy: An Introduction to the Multiple Multistate Method (MMM) Seeded Topic Models in Digital Archives: Analyzing Interpretations of Immigration in Swedish Newspapers, 1945–2019 A Primer on Deep Learning for Causal Inference Untapped Potential: Designed Digital Trace Data in Online Survey Experiments
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1