Organizational Research Methods最新文献_第4页

A Constrained Factor Mixture Model for Detecting Careless Responses that is Simple to Implement 一种易于实现的检测粗心响应的约束因子混合模型

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2023-08-30 DOI: 10.1177/10944281231195298

C. Kam, S. Cheung

引用次数: 0

From Ties to Events in the Analysis of Interorganizational Exchange Relations. 从纽带到事件:组织间交流关系分析。

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2023-07-01 DOI: 10.1177/10944281211058469

Federica Bianchi, Alessandro Lomi

{"title":"From Ties to Events in the Analysis of Interorganizational Exchange Relations.","authors":"Federica Bianchi, Alessandro Lomi","doi":"10.1177/10944281211058469","DOIUrl":"https://doi.org/10.1177/10944281211058469","url":null,"abstract":"<p><p>Relational event models expand the analytical possibilities of existing statistical models for interorganizational networks by: (i) making efficient use of information contained in the sequential ordering of observed events connecting sending and receiving units; (ii) accounting for the intensity of the relation between exchange partners, and (iii) distinguishing between short- and long-term network effects. We introduce a recently developed relational event model (REM) for the analysis of continuously observed interorganizational exchange relations. The combination of efficient sampling algorithms and sender-based stratification makes the models that we present particularly useful for the analysis of very large samples of relational event data generated by interaction among heterogeneous actors. We demonstrate the empirical value of event-oriented network models in two different settings for interorganizational exchange relations-that is, high-frequency overnight transactions among European banks and patient-sharing relations within a community of Italian hospitals. We focus on patterns of direct and generalized reciprocity while accounting for more complex forms of dependence present in the data. Empirical results suggest that distinguishing between degree- and intensity-based network effects, and between short- and long-term effects is crucial to our understanding of the dynamics of interorganizational dependence and exchange relations. We discuss the general implications of these results for the analysis of social interaction data routinely collected in organizational research to examine the evolutionary dynamics of social networks within and between organizations.</p>","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":"26 3","pages":"524-565"},"PeriodicalIF":9.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/40/59/10.1177_10944281211058469.PMC10278390.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10351480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

A Mixture Model for Random Responding Behavior in Forced-Choice Noncognitive Assessment: Implication and Application in Organizational Research 强迫选择非认知评估中随机反应行为的混合模型及其在组织研究中的应用

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2023-06-27 DOI: 10.1177/10944281231181642

Siwei Peng, K. Man, B. Veldkamp, Yan Cai, Dongbo Tu

{"title":"A Mixture Model for Random Responding Behavior in Forced-Choice Noncognitive Assessment: Implication and Application in Organizational Research","authors":"Siwei Peng, K. Man, B. Veldkamp, Yan Cai, Dongbo Tu","doi":"10.1177/10944281231181642","DOIUrl":"https://doi.org/10.1177/10944281231181642","url":null,"abstract":"For various reasons, respondents to forced-choice assessments (typically used for noncognitive psychological constructs) may respond randomly to individual items due to indecision or globally due to disengagement. Thus, random responding is a complex source of measurement bias and threatens the reliability of forced-choice assessments, which are essential in high-stakes organizational testing scenarios, such as hiring decisions. The traditional measurement models rely heavily on nonrandom, construct-relevant responses to yield accurate parameter estimates. When survey data contain many random responses, fitting traditional models may deliver biased results, which could attenuate measurement reliability. This study presents a new forced-choice measure-based mixture item response theory model (called M-TCIR) for simultaneously modeling normal and random responses (distinguishing completely and incompletely random). The feasibility of the M-TCIR was investigated via two Monte Carlo simulation studies. In addition, one empirical dataset was analyzed to illustrate the applicability of the M-TCIR in practice. The results revealed that most model parameters were adequately recovered, and the M-TCIR was a viable alternative to model both aberrant and normal responses with high efficiency.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":" ","pages":""},"PeriodicalIF":9.5,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41961861","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: 1

Demographic Inference in the Digital Age: Using Neural Networks to Assess Gender and Ethnicity at Scale 数字时代的人口推断:使用神经网络大规模评估性别和种族

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2023-06-14 DOI: 10.1177/10944281231175904

Amal Chekili, Ivan Hernandez

{"title":"Demographic Inference in the Digital Age: Using Neural Networks to Assess Gender and Ethnicity at Scale","authors":"Amal Chekili, Ivan Hernandez","doi":"10.1177/10944281231175904","DOIUrl":"https://doi.org/10.1177/10944281231175904","url":null,"abstract":"Gender and ethnicity are increasingly studied topics within I-O psychology, helpful for understanding the composition of collectives, experiences of marginalized group members, and differences in outcomes between demographics and capturing diversity at higher levels. However, the absence of explicit, structured, demographic information online makes applying these research questions to Big Data sources challenging. We highlight how deep neural networks can be used to infer demographics based on people's names, which are commonly found online (e.g., social media profiles, employee pages, and membership rosters), using broad international data to train and evaluate the effectiveness of these models and find that validity coefficients meet minimum reliability thresholds at the individual level ( rgender = .91, rethnicity = .80) highlighting their ability to contextualize and facilitate Big Data research. Using empirical data extracted from databases, websites, and mobile apps, we highlight how these models can be applied to large organizational data sets by presenting illustrative demonstrations of research questions that incorporate the information provided by the model. To promote broader usage, we offer an online application to infer demographics from names without requiring advanced programming knowledge.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":" ","pages":""},"PeriodicalIF":9.5,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46027719","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: 0

Heterogeneity in Meta-Analytic Effect Sizes: An Assessment of the Current State of the Literature 元分析效应大小的异质性：对文献现状的评估

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2023-05-19 DOI: 10.1177/10944281231169942

S. Kepes, Wenhao Wang, J. Cortina

{"title":"Heterogeneity in Meta-Analytic Effect Sizes: An Assessment of the Current State of the Literature","authors":"S. Kepes, Wenhao Wang, J. Cortina","doi":"10.1177/10944281231169942","DOIUrl":"https://doi.org/10.1177/10944281231169942","url":null,"abstract":"Heterogeneity refers to the variability in effect sizes across different samples and is one of the major criteria to judge the importance and advancement of a scientific area. To determine how studies in the organizational sciences address heterogeneity, we conduct two studies. In study 1, we examine how meta-analytic studies conduct heterogeneity assessments and report and interpret the obtained results. To do so, we coded heterogeneity-related information from meta-analytic studies published in five leading journals. We found that most meta-analytic studies report several heterogeneity statistics. At the same time, however, there tends to be a lack of detail and thoroughness in the interpretation of these statistics. In study 2, we review how primary studies report heterogeneity-related results and conclusions from meta-analyses. We found that the quality of the reporting of heterogeneity-related information in primary studies tends to be poor and unrelated to the detail and thoroughness with which meta-analytic studies report and interpret the statistics. Based on our findings, we discuss implications for practice and provide recommendations for how heterogeneity assessments should be conducted and communicated in future research.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":" ","pages":""},"PeriodicalIF":9.5,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43622205","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: 1

Assessing Common-Metric Effect Sizes to Refine Mediation Models 评估常用度量效应大小以改进中介模型

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2023-05-08 DOI: 10.1177/10944281231169943

Juan I. Sanchez, Chen Wang, A. Ponnapalli, Hock-Peng Sin, Le Xu, M. Lapeira, Mohan Song

{"title":"Assessing Common-Metric Effect Sizes to Refine Mediation Models","authors":"Juan I. Sanchez, Chen Wang, A. Ponnapalli, Hock-Peng Sin, Le Xu, M. Lapeira, Mohan Song","doi":"10.1177/10944281231169943","DOIUrl":"https://doi.org/10.1177/10944281231169943","url":null,"abstract":"Mediation analysis tests X → M → Y processes in which an independent variable ( X) exerts an indirect effect on a dependent variable ( Y) through its influence on an intervening or mediator variable ( M). A preponderance of mediation studies, however, focuses on determining solely whether mediation effects are statistically significant, instead of focusing on what the results tell us about potential theoretical refinements in the mediation model. We argue in favor of employing a set of three standardized effect sizes based on variance proportions that allow researchers to compare their results with those of other mediation studies employing similar combinations of X, M, and Y variables. These standardized effect sizes constitute a set of common metrics signaling potential gaps in a mediation model, and as such provide useful insights for the theoretical refinement of mediation models in organizational research. We illustrate the utility of comparing these common-metric effect sizes using the examples of abusive and transformational leadership effects on employee outcomes as transmitted by social exchange quality.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":" ","pages":""},"PeriodicalIF":9.5,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48021064","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: 0

Out of Shape: The Implications of (Extremely) Nonnormal Dependent Variables 变形:(极度)非正常因变量的含义

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2023-05-07 DOI: 10.1177/10944281231167839

S. Trevis Certo, Kristen Raney, Latifa Albader, John R. Busenbark

引用次数: 0

Team Composition Revisited: Expanding the Team Member Attribute Alignment Approach to Consider Patterns of More Than Two Attributes 重新审视团队组成:扩展团队成员属性对齐方法，以考虑两个以上属性的模式

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2023-05-03 DOI: 10.1177/10944281231166656

Kyle J. Emich, M. McCourt, Li Lu, Amanda J. Ferguson, R. Peterson

{"title":"Team Composition Revisited: Expanding the Team Member Attribute Alignment Approach to Consider Patterns of More Than Two Attributes","authors":"Kyle J. Emich, M. McCourt, Li Lu, Amanda J. Ferguson, R. Peterson","doi":"10.1177/10944281231166656","DOIUrl":"https://doi.org/10.1177/10944281231166656","url":null,"abstract":"The attribute alignment approach to team composition allows researchers to assess variation in team member attributes, which occurs simultaneously within and across individual team members. This approach facilitates the development of theory testing the proposition that individual members are themselves complex systems comprised of multiple attributes and that the configuration of those attributes affects team-level processes and outcomes. Here, we expand this approach, originally developed for two attributes, by describing three ways researchers may capture the alignment of three or more team member attributes: (a) a geometric approach, (b) a physical approach accentuating ideal alignment, and (c) an algebraic approach accentuating the direction (as opposed to magnitude) of alignment. We also provide examples of the research questions each could answer and compare the methods empirically using a synthetic dataset assessing 100 teams of three to seven members across four attributes. Then, we provide a practical guide to selecting an appropriate method when considering team-member attribute patterns by answering several common questions regarding applying attribute alignment. Finally, we provide code ( https://github.com/kjem514/Attribute-Alignment-Code ) and apply this approach to a field data set in our appendices.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":" ","pages":""},"PeriodicalIF":9.5,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43887552","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: 0

Macro-iterativity: A Qualitative Multi-arc Design for Studying Complex Issues and Big Questions 宏观迭代性：研究复杂问题和大问题的定性多弧设计

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2023-04-17 DOI: 10.1177/10944281231166649

Christina Hoon, Alina M. Baluch

引用次数: 1

Publication Notice 公告

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2023-03-31 DOI: 10.1177/10944281231155392

引用次数: 0