PLS-SEM:在R统计环境中的方法演示

IF 4 3区 管理学 Q1 INDUSTRIAL RELATIONS & LABOR
Amanda E. Legate, Christian M. Ringle, Joseph F. Hair
{"title":"PLS-SEM:在R统计环境中的方法演示","authors":"Amanda E. Legate, Christian M. Ringle, Joseph F. Hair","doi":"10.1002/hrdq.21517","DOIUrl":null,"url":null,"abstract":"In line with calls to stimulate methodological diversity and support evidence-based human resource development (HRD) through quantitative competencies, we present a methods demonstration leveraging open-source tools and lesser-known quantitative research methods to support the HRD research community and applied HRD in the workplace. In this paper, we provide an informative introduction to partial least squares structural equation modeling (PLS-SEM). We discuss PLS-SEM application trends in the field of HRD, present key characteristics of the method, and demonstrate up-to-date metrics and evaluation guidelines using an illustrative model. Our PLS-SEM demonstration and explanations can serve as a valuable resource for practitioners concerned with substantiating results for organizational stakeholders and support researchers in methodological decision-making while avoiding common pitfalls associated with less familiar methods. Our step-by-step demonstration is conducted in open-source software and accompanied by explicitly coded operations so that readers can easily replicate the illustrative analyses presented.","PeriodicalId":47803,"journal":{"name":"Human Resource Development Quarterly","volume":"15 1","pages":""},"PeriodicalIF":4.0000,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PLS-SEM: A method demonstration in the R statistical environment\",\"authors\":\"Amanda E. Legate, Christian M. Ringle, Joseph F. Hair\",\"doi\":\"10.1002/hrdq.21517\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In line with calls to stimulate methodological diversity and support evidence-based human resource development (HRD) through quantitative competencies, we present a methods demonstration leveraging open-source tools and lesser-known quantitative research methods to support the HRD research community and applied HRD in the workplace. In this paper, we provide an informative introduction to partial least squares structural equation modeling (PLS-SEM). We discuss PLS-SEM application trends in the field of HRD, present key characteristics of the method, and demonstrate up-to-date metrics and evaluation guidelines using an illustrative model. Our PLS-SEM demonstration and explanations can serve as a valuable resource for practitioners concerned with substantiating results for organizational stakeholders and support researchers in methodological decision-making while avoiding common pitfalls associated with less familiar methods. Our step-by-step demonstration is conducted in open-source software and accompanied by explicitly coded operations so that readers can easily replicate the illustrative analyses presented.\",\"PeriodicalId\":47803,\"journal\":{\"name\":\"Human Resource Development Quarterly\",\"volume\":\"15 1\",\"pages\":\"\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2023-11-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Human Resource Development Quarterly\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1002/hrdq.21517\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INDUSTRIAL RELATIONS & LABOR\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Resource Development Quarterly","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1002/hrdq.21517","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INDUSTRIAL RELATIONS & LABOR","Score":null,"Total":0}
引用次数: 0

摘要

为了响应通过定量能力刺激方法多样性和支持基于证据的人力资源开发(HRD)的呼吁,我们提出了一种方法演示,利用开源工具和鲜为人知的定量研究方法来支持人力资源开发研究界并在工作场所应用人力资源开发。在本文中,我们提供了一个信息介绍偏最小二乘结构方程建模(PLS-SEM)。我们讨论了PLS-SEM在HRD领域的应用趋势,介绍了该方法的关键特征,并使用说明性模型演示了最新的度量和评估指南。我们的PLS-SEM演示和解释可以作为从业者关注的宝贵资源,为组织利益相关者证实结果,并支持研究人员进行方法决策,同时避免与不太熟悉的方法相关的常见陷阱。我们的逐步演示是在开源软件中进行的,并伴随着明确编码的操作,以便读者可以轻松地复制所呈现的说明性分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PLS-SEM: A method demonstration in the R statistical environment
In line with calls to stimulate methodological diversity and support evidence-based human resource development (HRD) through quantitative competencies, we present a methods demonstration leveraging open-source tools and lesser-known quantitative research methods to support the HRD research community and applied HRD in the workplace. In this paper, we provide an informative introduction to partial least squares structural equation modeling (PLS-SEM). We discuss PLS-SEM application trends in the field of HRD, present key characteristics of the method, and demonstrate up-to-date metrics and evaluation guidelines using an illustrative model. Our PLS-SEM demonstration and explanations can serve as a valuable resource for practitioners concerned with substantiating results for organizational stakeholders and support researchers in methodological decision-making while avoiding common pitfalls associated with less familiar methods. Our step-by-step demonstration is conducted in open-source software and accompanied by explicitly coded operations so that readers can easily replicate the illustrative analyses presented.
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
CiteScore
7.60
自引率
6.10%
发文量
19
期刊介绍: Human Resource Development Quarterly (HRDQ) is the first scholarly journal focused directly on the evolving field of human resource development (HRD). It provides a central focus for research on human resource development issues as well as the means for disseminating such research. HRDQ recognizes the interdisciplinary nature of the HRD field and brings together relevant research from the related fields, such as economics, education, management, sociology, and psychology. It provides an important link in the application of theory and research to HRD practice. HRDQ publishes scholarly work that addresses the theoretical foundations of HRD, HRD research, and evaluation of HRD interventions and contexts.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信