Organizational Research Methods最新文献_第9页

Faking Detection Improved: Adopting a Likert Item Response Process Tree Model 改进伪造检测:采用李克特项目反应过程树模型

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2021-04-15 DOI: 10.1177/10944281211002904

Tianjun Sun, Bo Zhang, Mengyang Cao, F. Drasgow

{"title":"Faking Detection Improved: Adopting a Likert Item Response Process Tree Model","authors":"Tianjun Sun, Bo Zhang, Mengyang Cao, F. Drasgow","doi":"10.1177/10944281211002904","DOIUrl":"https://doi.org/10.1177/10944281211002904","url":null,"abstract":"With the increasing popularity of noncognitive inventories in personnel selection, organizations typically wish to be able to tell when a job applicant purposefully manufactures a favorable impression. Past faking research has primarily focused on how to reduce faking via instrument design, warnings, and statistical corrections for faking. This article took a new approach by examining the effects of faking (experimentally manipulated and contextually driven) on response processes. We modified a recently introduced item response theory tree modeling procedure, the three-process model, to identify faking in two studies. Study 1 examined self-reported vocational interest assessment responses using an induced faking experimental design. Study 2 examined self-reported personality assessment responses when some people were in a high-stakes situation (i.e., selection). Across the two studies, individuals instructed or expected to fake were found to engage in more extreme responding. By identifying the underlying differences between fakers and honest respondents, the new approach improves our understanding of faking. Percentage cutoffs based on extreme responding produced a faker classification precision of 85% on average.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":"25 1","pages":"490 - 512"},"PeriodicalIF":9.5,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/10944281211002904","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45621939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Corrigendum to On Ignoring the Random Effects Assumption in Multilevel Models: Review, Critique, and Recommendations 关于忽略多层次模型中随机效应假设的更正：综述、批评和建议

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2021-04-01 DOI: 10.1177/10944281211002293

引用次数: 1

Meta-Analyses as a Multi-Level Model 元分析作为一个多层次模型

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2021-04-01 DOI: 10.1177/1094428119857471

Janaki Gooty, G. Banks, Andrew C. Loignon, Scott Tonidandel, Courtney E. Williams

{"title":"Meta-Analyses as a Multi-Level Model","authors":"Janaki Gooty, G. Banks, Andrew C. Loignon, Scott Tonidandel, Courtney E. Williams","doi":"10.1177/1094428119857471","DOIUrl":"https://doi.org/10.1177/1094428119857471","url":null,"abstract":"Meta-analyses are well known and widely implemented in almost every domain of research in management as well as the social, medical, and behavioral sciences. While this technique is useful for determining validity coefficients (i.e., effect sizes), meta-analyses are predicated on the assumption of independence of primary effect sizes, which might be routinely violated in the organizational sciences. Here, we discuss the implications of violating the independence assumption and demonstrate how meta-analysis could be cast as a multilevel, variance known (Vknown) model to account for such dependency in primary studies’ effect sizes. We illustrate such techniques for meta-analytic data via the HLM 7.0 software as it remains the most widely used multilevel analyses software in management. In so doing, we draw on examples in educational psychology (where such techniques were first developed), organizational sciences, and a Monte Carlo simulation (Appendix). We conclude with a discussion of implications, caveats, and future extensions. Our Appendix details features of a newly developed application that is free (based on R), user-friendly, and provides an alternative to the HLM program.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":"24 1","pages":"389 - 411"},"PeriodicalIF":9.5,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1094428119857471","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47635585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Long-Run Effects in Dynamic Systems: New Tools for Cross-Lagged Panel Models 动态系统的长期效应:交叉滞后面板模型的新工具

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2021-03-19 DOI: 10.1177/1094428121993228

A. Shamsollahi, M. Zyphur, Ozlem Ozkok

{"title":"Long-Run Effects in Dynamic Systems: New Tools for Cross-Lagged Panel Models","authors":"A. Shamsollahi, M. Zyphur, Ozlem Ozkok","doi":"10.1177/1094428121993228","DOIUrl":"https://doi.org/10.1177/1094428121993228","url":null,"abstract":"Cross-lagged panel models (CLPMs) are common, but their applications often focus on “short-run” effects among temporally proximal observations. This addresses questions about how dynamic systems may immediately respond to interventions, but fails to show how systems evolve over longer timeframes. We explore three types of “long-run” effects in dynamic systems that extend recent work on “impulse responses,” which reflect potential long-run effects of one-time interventions. Going beyond these, we first treat evaluations of system (in)stability by testing for “permanent effects,” which are important because in unstable systems even a one-time intervention may have enduring effects. Second, we explore classic econometric long-run effects that show how dynamic systems may respond to interventions that are sustained over time. Third, we treat “accumulated responses” to model how systems may respond to repeated interventions over time. We illustrate tests of each long-run effect in a simulated dataset and we provide all materials online including user-friendly R code that automates estimating, testing, reporting, and plotting all effects (see https://doi.org/10.26188/13506861). We conclude by emphasizing the value of aligning specific longitudinal hypotheses with quantitative methods.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":"25 1","pages":"435 - 458"},"PeriodicalIF":9.5,"publicationDate":"2021-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1094428121993228","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45394357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Eight Simple Guidelines for Improved Understanding of Transformations and Nonlinear Effects 提高对变换和非线性效应理解的八个简单指南

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2021-03-11 DOI: 10.1177/1094428121991907

Mikko Rönkkö, E. Aalto, H. Tenhunen, Miguel I. Aguirre-Urreta

引用次数: 17

Reliability Estimates for IRT-Based Forced-Choice Assessment Scores 基于irt的强迫选择评估分数的可靠性评估

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2021-03-11 DOI: 10.1177/1094428121999086

Yin Lin

引用次数: 6

Computational Literature Reviews: Method, Algorithms, and Roadmap 计算文献综述:方法、算法和路线图

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2021-03-09 DOI: 10.1177/1094428121991230

David Antons, Christoph F. Breidbach, Amol M. Joshi, T. Salge

{"title":"Computational Literature Reviews: Method, Algorithms, and Roadmap","authors":"David Antons, Christoph F. Breidbach, Amol M. Joshi, T. Salge","doi":"10.1177/1094428121991230","DOIUrl":"https://doi.org/10.1177/1094428121991230","url":null,"abstract":"The substantial volume, continued growth, and resulting complexity of the scientific literature not only increases the need for systematic, replicable, and rigorous literature reviews, but also highlights the natural limits of human researchers’ information processing capabilities. In search of a solution to this dilemma, computational techniques are beginning to support human researchers in synthesizing large bodies of literature. However, actionable methodological guidance on how to design, conduct, and document such computationally augmented literature reviews is lacking to date. We respond by introducing and defining computational literature reviews (CLRs) as a new review method and put forward a six-step roadmap, covering the CLR process from identifying the review objectives to selecting algorithms and reporting findings. We make the CLR method accessible to novice and expert users alike by identifying critical design decisions and typical challenges for each step and provide practical guidelines for tailoring the CLR method to four conceptual review goals. As such, we present CLRs as a literature review method where the choice, design, and implementation of a CLR are guided by specific review objectives, methodological capabilities, and resource constraints of the human researcher.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":"26 1","pages":"107 - 138"},"PeriodicalIF":9.5,"publicationDate":"2021-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1094428121991230","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48441588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 40

Using CATA and Machine Learning to Operationalize Old Constructs in New Ways: An Illustration Using U.S. Governors’ COVID-19 Press Briefings 使用CATA和机器学习以新方式实现旧结构的操作:以美国州长COVID-19新闻发布会为例

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2021-02-23 DOI: 10.1177/10944281221098607

J. Marshall, F. Yammarino, S. Parameswaran, Minyoung Cheong

引用次数: 3

On the Use of Balanced Item Parceling to Counter Acquiescence Bias in Structural Equation Models 关于结构方程模型中使用平衡项分组来对抗停顿偏差

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2021-02-15 DOI: 10.1177/1094428121991909

Bert Weijters, H. Baumgartner

{"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":"https://doi.org/10.1177/1094428121991909","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":9.5,"publicationDate":"2021-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1094428121991909","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46996236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Sample Selection in Systematic Literature Reviews of Management Research 管理研究系统文献综述中的样本选择

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2021-01-29 DOI: 10.1177/1094428120986851

Martin R. W. Hiebl

引用次数: 120