从麻烦到新颖的研究问题:使用多水平模型预测异质方差的勘误表

IF 8.9 2区管理学 Q1 MANAGEMENT

Organizational Research Methods Pub Date : 2021-07-01 DOI:10.1177/10944281211011778

{"title":"从麻烦到新颖的研究问题:使用多水平模型预测异质方差的勘误表","authors":"","doi":"10.1177/10944281211011778","DOIUrl":null,"url":null,"abstract":"Lester, H. F., Cullen-Lester, K. L., & Walters, R. W. (2019). From nuisance to novel research questions: Using multilevel models to predict heterogeneous variances. Organizational Research Methods, 24(2), 342-388. From the above referenced article, which was printed in the April 2021 issue of Organizational Research Methods, the funding information has been updated, correct funding statement should read as:","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":"24 1","pages":"671 - 671"},"PeriodicalIF":8.9000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/10944281211011778","citationCount":"0","resultStr":"{\"title\":\"Corrigendum to From Nuisance to Novel Research Questions: Using Multilevel Models to Predict Heterogeneous Variances\",\"authors\":\"\",\"doi\":\"10.1177/10944281211011778\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Lester, H. F., Cullen-Lester, K. L., & Walters, R. W. (2019). From nuisance to novel research questions: Using multilevel models to predict heterogeneous variances. Organizational Research Methods, 24(2), 342-388. From the above referenced article, which was printed in the April 2021 issue of Organizational Research Methods, the funding information has been updated, correct funding statement should read as:\",\"PeriodicalId\":19689,\"journal\":{\"name\":\"Organizational Research Methods\",\"volume\":\"24 1\",\"pages\":\"671 - 671\"},\"PeriodicalIF\":8.9000,\"publicationDate\":\"2021-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1177/10944281211011778\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Organizational Research Methods\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1177/10944281211011778\",\"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/10.1177/10944281211011778","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}

引用次数: 0

摘要

莱斯特，h.f.，卡伦-莱斯特，k.l.，和沃尔特斯，r.w.(2019)。从讨厌到新颖的研究问题:使用多层模型预测异质方差。组织研究方法，24(2)，342-388。上述引用文章发表于《组织研究方法》(Organizational Research Methods) 2021年4月刊，资助信息已更新，正确的资助声明应为:

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Corrigendum to From Nuisance to Novel Research Questions: Using Multilevel Models to Predict Heterogeneous Variances

Lester, H. F., Cullen-Lester, K. L., & Walters, R. W. (2019). From nuisance to novel research questions: Using multilevel models to predict heterogeneous variances. Organizational Research Methods, 24(2), 342-388. From the above referenced article, which was printed in the April 2021 issue of Organizational Research Methods, the funding information has been updated, correct funding statement should read as:

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Organizational Research Methods Multiple-

CiteScore

23.20

自引率

3.20%

发文量

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.