{"title":"Using Quotes to Present Claims: Practices for the Writing Stages of Qualitative Research","authors":"Kevin W. Rockmann, Heather C. Vough","doi":"10.1177/10944281231210558","DOIUrl":"https://doi.org/10.1177/10944281231210558","url":null,"abstract":"While there has been a great deal of guidance on qualitative research methodology, such scholarship has focused almost exclusively on the first three parts of the qualitative process: study design, data gathering, and coding/analysis. We suggest that writing findings is a fourth stage that involves pre-writing and composing. Our intent is to provide practices for this phase for those who are using qualitative data as the evidentiary basis for their claims. The pre-writing phase is strengthened by structuring claims and storyboarding findings, while the composing phase is improved by critically evaluating how to insert the author's voice. Practices surrounding qualitative writing are discussed, such as which quotes to include, where to place quotes, and how to edit quotes. Annotated examples are also provided that show both recommended and nonrecommended ways of inserting the author's voice into a findings section. A sample structure for writing a claim—a claim table—and a sample storyboard are provided.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":" 26","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135243107","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}
{"title":"Publishing Registered Reports in Management and Applied Psychology: Common Beliefs and Best Practices","authors":"Roman Briker, Fabiola H. Gerpott","doi":"10.1177/10944281231210309","DOIUrl":"https://doi.org/10.1177/10944281231210309","url":null,"abstract":"Management and applied psychology scholars are confronted with a crisis undermining trust in their findings. One solution to this crisis is the publication format Registered Reports (RRs). Here, authors submit the frontend of their paper for peer review before data collection. While this format can help increase the trustworthiness of research, authors’ usage of RRs—although emerging—has been scarce and scattered. Eventually, common beliefs regarding the (dis)advantages of RRs and a lack of best practices can limit the broad implementation of this approach. To address these issues, we utilized a systematic review process to identify 50 RRs in management and applied psychology and surveyed authors with ( N = 86) and without experience ( N = 161) in publishing RRs and reviewers/editors who have handled RRs ( N = 59). On this basis, we (a) scrutinize prevalent beliefs surrounding the RR format in the fields of management and applied psychology and (b) derive hands-on best practices. In sum, we provide a fact check and guidelines for authors interested in writing RRs, which can also be used by reviewers to evaluate such submissions.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135480381","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}
Bo Zhang, Naidan Tu, Lawrence Angrave, Susu Zhang, Tianjun Sun, Louis Tay, Jian Li
{"title":"The Generalized Thurstonian Unfolding Model (GTUM): Advancing the Modeling of Forced-Choice Data","authors":"Bo Zhang, Naidan Tu, Lawrence Angrave, Susu Zhang, Tianjun Sun, Louis Tay, Jian Li","doi":"10.1177/10944281231210481","DOIUrl":"https://doi.org/10.1177/10944281231210481","url":null,"abstract":"Forced-choice (FC) measurement has become increasingly popular due to its robustness to various response biases and reduced susceptibility to faking. Although several current Item Response Theory (IRT) models can extract normative person scores from FC responses, each has its limitations. This study proposes the Generalized Thurstonian Unfolding Model (GTUM) as a more flexible IRT model for FC measures to overcome these limitations. The GTUM (1) adheres to the unfolding response process, (2) accommodates FC scales of any block size, and (3) manages both dichotomous and graded responses. Monte Carlo simulation studies consistently demonstrated that the GTUM exhibited good statistical properties under most realistic conditions. Particularly noteworthy findings include (1) the GTUM's ability to handle FC scales with or without intermediate statements, (2) the consistently superior performance of graded responses over dichotomous responses in person score recovery, and (3) the sufficiency of 10 mixed pairs to ensure robust psychometric performance. Two empirical examples, one with 1,033 responses to a static version of the Tailored Adaptative Personality Assessment System and the other with 759 responses to a graded version of the Forced-Choice Five-Factor Markers, demonstrated the feasibility of the GTUM to handle different types of FC scales. To aid in the practical use of the GTUM, we also developed the R package “ fcscoring.”","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":"29 9-10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135272455","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}
{"title":"Time Dependence in the Cox Proportional Hazard Model as a Theory Development Opportunity: A Step-by-Step Guide","authors":"Hyun-Soo Woo, Jisun Kim, Albert A. Cannella","doi":"10.1177/10944281231205027","DOIUrl":"https://doi.org/10.1177/10944281231205027","url":null,"abstract":"The Cox proportional hazard model has often been used for survival analysis in organizational research. The Cox model needs to satisfy one critical assumption—time independence—that the effects of independent variables are constant over survival time (also known as the proportional hazard assumption). However, organizational research often encounters time dependence in the Cox model. Organizational studies have traditionally seemed to view time dependence as an empirical nuisance, but we highlight that it is also a theory-development opportunity. Indeed, from our review of AMJ and SMJ papers published in a recent 10-year period, we found that researchers rarely considered time dependence as a theory-development opportunity, and worse, many of them did not test for (or report tests for) time dependence. The purpose of our study is to change this pattern. To this end, we provide a step-by-step guide to facilitate testing for time dependence and using time dependence as a theory development opportunity. We also demonstrate our step-by-step guide with an empirical example.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136063886","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}
{"title":"A Multimodal Social Signal Processing Approach to Team Interactions","authors":"Nale Lehmann-Willenbrock, Hayley Hung","doi":"10.1177/10944281231202741","DOIUrl":"https://doi.org/10.1177/10944281231202741","url":null,"abstract":"Social signal processing develops automated approaches to detect, analyze, and synthesize social signals in human–human as well as human–machine interactions by means of machine learning and sensor data processing. Most works analyze individual or dyadic behavior, while the analysis of group or team interactions remains limited. We present a case study of an interdisciplinary work process for social signal processing that can develop automatized measures of complex team interaction dynamics, using team task and social cohesion as an example. In a field sample of 25 real project team meetings, we obtained sensor data from cameras, microphones, and a smart ID badge measuring acceleration. We demonstrate how fine-grained behavioral expressions of task and social cohesion in team meetings can be extracted and processed from sensor data by capturing dyadic coordination patterns that are then aggregated to the team level. The extracted patterns act as proxies for behavioral synchrony and mimicry of speech and body behavior which map onto verbal expressions of task and social cohesion in the observed team meetings. We reflect on opportunities for future interdisciplinary or collaboration that can move beyond a simple producer–consumer model.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134946260","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}
Ze Zhu, John A. Aitken, Reeshad S. Dalal, Seth A. Kaplan
{"title":"The Promise of Just-in-Time Adaptive Interventions for Organizational Scholarship and Practice: Conceptual Development and Research Agenda","authors":"Ze Zhu, John A. Aitken, Reeshad S. Dalal, Seth A. Kaplan","doi":"10.1177/10944281231202740","DOIUrl":"https://doi.org/10.1177/10944281231202740","url":null,"abstract":"Organizational researchers are now making widespread use of ecological momentary assessments but have not yet taken the logical next step to ecological momentary interventions, also called Just-in-Time Adaptive Interventions (JITAIs). JITAIs have the potential to test within-person causal theories and maximize practical benefits to participants through two developmental phases: The microrandomized trial and the randomized controlled trial, respectively. In the microrandomized trial design, within-person randomization and experimental manipulation maximize internal validity at the within-person level. In the randomized controlled trial design, interventions are delivered in a timely and ecological manner while avoiding unnecessary and ill-timed interventions that potentially increase participant fatigue and noncompliance. Despite these potential advantages, the development and implementation of JITAIs require consideration of many conceptual and methodological factors. Given the benefits of JITAIs, but also the various considerations involved in using them, this review introduces organizational behavior and human resources researchers to JITAIs, provides guidelines for JITAI design, development, and evaluation, and describes the extensive potential of JITAIs in organizational behavior and human resources research.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135344361","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}
{"title":"Celebrating 25 Years of ORM","authors":"Lisa Schurer Lambert, Tine Köhler","doi":"10.1177/10944281231195788","DOIUrl":"https://doi.org/10.1177/10944281231195788","url":null,"abstract":"","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135385379","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}
Jason Kiley, Aaron McKenny, Jeremy Short, Anne Smith
{"title":"Call for Papers for a Feature Topic: Having A Way with Words: Innovations and Improvements in Text Analysis Methods","authors":"Jason Kiley, Aaron McKenny, Jeremy Short, Anne Smith","doi":"10.1177/10944281231195704","DOIUrl":"https://doi.org/10.1177/10944281231195704","url":null,"abstract":"","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136024452","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}
{"title":"A Constrained Factor Mixture Model for Detecting Careless Responses that is Simple to Implement","authors":"C. Kam, S. Cheung","doi":"10.1177/10944281231195298","DOIUrl":"https://doi.org/10.1177/10944281231195298","url":null,"abstract":"Using constrained factor mixture models (FMM) for careless response identification is still in its infancy. Existing models have overly restrictive statistical assumptions that do not identify all types of careless respondents. The current paper presents a novel constrained FMM model with more reasonable assumptions that capture both longstring and random careless respondents. We provide a comprehensive comparison of the statistical assumptions between the proposed model and two previous constrained models. The proposed model was evaluated using both real data ( N = 1,455) and statistical simulation. The results showed that the model had a superior fit, stronger convergent validity with other indicators of careless responding, more accurate parameter recovery and more accurate identification of careless respondents when compared to its predecessors. The proposed model does not require additional data collection effort, and thus researchers can routinely use it to control careless responses. We provide user-friendly syntax with detailed explanations online to facilitate its use.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":" ","pages":""},"PeriodicalIF":9.5,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47298575","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}
{"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}