Organizational Research Methods最新文献_第9页

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

A Marginal Effects Approach to Interpreting Main Effects and Moderation 边际效应法解释主效应与适度效应

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2021-01-05 DOI: 10.1177/1094428120976838

John R. Busenbark, Scott D. Graffin, R. Campbell, Eric Y. Lee

{"title":"A Marginal Effects Approach to Interpreting Main Effects and Moderation","authors":"John R. Busenbark, Scott D. Graffin, R. Campbell, Eric Y. Lee","doi":"10.1177/1094428120976838","DOIUrl":"https://doi.org/10.1177/1094428120976838","url":null,"abstract":"This Short Methodological Report builds on research about moderation practices by focusing on a marginal effects approach to interpreting how a main effect is informed by the presence of a moderating variable. Following a content analysis of published studies and a survey of management researchers, our findings suggest there is a great deal of confusion about the ways in which to interpret how a main effect may fluctuate owing to a moderating variable. We therefore provide explicit instructions on how to implement and interpret a marginal effects approach that depicts the nature of a main effect in the presence of a moderator. We use different scenarios and examples to illustrate how researchers can employ the marginal effects technique, which provides an indication of the relationship between the independent and dependent variables over different values of the moderator. We argue and demonstrate that the marginal effects approach helps resolve conflicting findings that may arise from using other prevailing techniques to interpret both main effects and moderation.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":"25 1","pages":"147 - 169"},"PeriodicalIF":9.5,"publicationDate":"2021-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1094428120976838","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44971423","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: 46

How Are We Testing Interactions in Latent Variable Models? Surging Forward or Fighting Shy?: 我们如何测试潜在变量模型中的相互作用?勇猛前进还是畏首畏尾?：

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2021-01-01 DOI: 10.25384/SAGE.C.4665197.V1

J. Cortina, Hannah M. Markell-Goldstein, Jennifer P. Green, Yingyi Chang

引用次数: 3

Building Transparency and Trustworthiness in Inductive Research Through Computer-Aided Qualitative Data Analysis Software 利用计算机辅助定性数据分析软件在归纳研究中建立透明度和可信度

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2021-01-01 DOI: 10.1177/1094428119865016

P. O’Kane, Anne D. Smith, Michael P. Lerman

{"title":"Building Transparency and Trustworthiness in Inductive Research Through Computer-Aided Qualitative Data Analysis Software","authors":"P. O’Kane, Anne D. Smith, Michael P. Lerman","doi":"10.1177/1094428119865016","DOIUrl":"https://doi.org/10.1177/1094428119865016","url":null,"abstract":"Many scholars have called for qualitative research to demonstrate transparency and trustworthiness in the data analysis process. Yet these processes, particularly within inductive research, often remain shrouded in mystery. We suggest that computer-aided/assisted qualitative data analysis software (CAQDAS) can support qualitative researchers in their efforts to present their analysis and findings in a transparent way, thus enhancing trustworthiness. To this end, we propose, describe, and illustrate working examples of six CAQDAS building blocks, three combined CAQDAS techniques, and two coder consistency checks. We argue that these techniques give researchers the language to write about their methods and findings in a transparent manner and that their appropriate use enhances a research project’s trustworthiness. Specific CAQDAS techniques are rarely discussed across an array of inductive research processes. Thus, we see this article as the beginning of a conversation about the utility of CAQDAS to support inductive qualitative research.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":"24 1","pages":"104 - 139"},"PeriodicalIF":9.5,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1094428119865016","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45888085","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: 58

Croon’s Bias-Corrected Factor Score Path Analysis for Small- to Moderate-Sample Multilevel Structural Equation Models 中小样本多层次结构方程模型的Croon偏倚校正因子得分路径分析

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2021-01-01 DOI: 10.1177/1094428119879758

Ben Kelcey, Kyle Cox, N. Dong

{"title":"Croon’s Bias-Corrected Factor Score Path Analysis for Small- to Moderate-Sample Multilevel Structural Equation Models","authors":"Ben Kelcey, Kyle Cox, N. Dong","doi":"10.1177/1094428119879758","DOIUrl":"https://doi.org/10.1177/1094428119879758","url":null,"abstract":"Maximum likelihood estimation of multilevel structural equation model (MLSEM) parameters is a preferred approach to probe theories involving latent variables in multilevel settings. Although maximum likelihood has many desirable properties, a major limitation is that it often fails to converge and can incur significant bias when implemented in studies with a small to moderate multilevel sample (e.g., fewer than 100 organizations with 10 or less individuals/organization). To address similar limitations in single-level SEM, literature has developed Croon’s bias-corrected factor score path analysis estimator that converges more regularly than maximum likelihood and delivers less biased parameter estimates with small to moderate sample sizes. We derive extensions to this framework for MLSEMs and probe the degree to which the estimator retains these advantages with small to moderate multilevel samples. The estimator emerges as a useful alternative or complement to maximum likelihood because it often outperforms maximum likelihood in small to moderate multilevel samples in terms of convergence, bias, error variance, and power. The proposed estimator is implemented as a function in R using lavaan and is illustrated using a multilevel mediation example.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":"24 1","pages":"55 - 77"},"PeriodicalIF":9.5,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1094428119879758","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45851821","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: 17

Using Outliers for Theory Building 使用异常值进行理论构建

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2021-01-01 DOI: 10.1177/1094428119898877

M. Gibbert, L. B. Nair, M. Weiss, M. Hoegl

引用次数: 27