{"title":"关于结构方程模型中使用平衡项分组来对抗停顿偏差","authors":"Bert Weijters, H. Baumgartner","doi":"10.1177/1094428121991909","DOIUrl":null,"url":null,"abstract":"We propose the use of balanced item parcels to account for method effects caused by acquiescent responding. The use of balanced parcels avoids the need to model method effects explicitly and results in a parsimonious specification of measurement and full structural equation models in the presence of unwanted method effects, particularly when a scale consists of a relatively large number of items. Balanced item parcels are sums or averages of individual items consisting of an equal number of regular and reversed items measuring the same construct. When regular and reversed items are combined into parcels, method effects cancel out (assuming that the method effects affecting the regular and reversed items in a parcel are equal in magnitude), and model fit and parameter estimates will no longer be negatively affected by acquiescent responding. We discuss why balanced item parceling works and when it is likely to prove beneficial, and we present a step-by-step procedure explaining how to use balanced item parceling in practice. We also report a brief hypothetical example to illustrate the proposed approach.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":"25 1","pages":"170 - 180"},"PeriodicalIF":8.9000,"publicationDate":"2021-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1094428121991909","citationCount":"6","resultStr":"{\"title\":\"On the Use of Balanced Item Parceling to Counter Acquiescence Bias in Structural Equation Models\",\"authors\":\"Bert Weijters, H. Baumgartner\",\"doi\":\"10.1177/1094428121991909\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose the use of balanced item parcels to account for method effects caused by acquiescent responding. The use of balanced parcels avoids the need to model method effects explicitly and results in a parsimonious specification of measurement and full structural equation models in the presence of unwanted method effects, particularly when a scale consists of a relatively large number of items. Balanced item parcels are sums or averages of individual items consisting of an equal number of regular and reversed items measuring the same construct. When regular and reversed items are combined into parcels, method effects cancel out (assuming that the method effects affecting the regular and reversed items in a parcel are equal in magnitude), and model fit and parameter estimates will no longer be negatively affected by acquiescent responding. We discuss why balanced item parceling works and when it is likely to prove beneficial, and we present a step-by-step procedure explaining how to use balanced item parceling in practice. We also report a brief hypothetical example to illustrate the proposed approach.\",\"PeriodicalId\":19689,\"journal\":{\"name\":\"Organizational Research Methods\",\"volume\":\"25 1\",\"pages\":\"170 - 180\"},\"PeriodicalIF\":8.9000,\"publicationDate\":\"2021-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1177/1094428121991909\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Organizational Research Methods\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1177/1094428121991909\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Organizational Research Methods","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/1094428121991909","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
On the Use of Balanced Item Parceling to Counter Acquiescence Bias in Structural Equation Models
We propose the use of balanced item parcels to account for method effects caused by acquiescent responding. The use of balanced parcels avoids the need to model method effects explicitly and results in a parsimonious specification of measurement and full structural equation models in the presence of unwanted method effects, particularly when a scale consists of a relatively large number of items. Balanced item parcels are sums or averages of individual items consisting of an equal number of regular and reversed items measuring the same construct. When regular and reversed items are combined into parcels, method effects cancel out (assuming that the method effects affecting the regular and reversed items in a parcel are equal in magnitude), and model fit and parameter estimates will no longer be negatively affected by acquiescent responding. We discuss why balanced item parceling works and when it is likely to prove beneficial, and we present a step-by-step procedure explaining how to use balanced item parceling in practice. We also report a brief hypothetical example to illustrate the proposed approach.
期刊介绍:
Organizational Research Methods (ORM) was founded with the aim of introducing pertinent methodological advancements to researchers in organizational sciences. The objective of ORM is to promote the application of current and emerging methodologies to advance both theory and research practices. Articles are expected to be comprehensible to readers with a background consistent with the methodological and statistical training provided in contemporary organizational sciences doctoral programs. The text should be presented in a manner that facilitates accessibility. For instance, highly technical content should be placed in appendices, and authors are encouraged to include example data and computer code when relevant. Additionally, authors should explicitly outline how their contribution has the potential to advance organizational theory and research practice.