{"title":"A valence-based account of group interaction and decision making","authors":"J. Bonito, Joann Keyton","doi":"10.1080/03637751.2021.1998565","DOIUrl":null,"url":null,"abstract":"ABSTRACT Group participants often develop a range of problem solutions before discussion. We addressed whether, and at what level of analysis, initial opinions influence discussion and perceptions of decision outcomes. The Group Valence Model (GVM) presents a dual-process approach to interaction and decision making as a function of the distribution of supportive and oppositional comments. GVM predicts that discussion reflects individual-level opinions until a group solution emerges, whereupon discussion is influenced by group-level factors. Data from four previous studies were machine-coded for supportive and oppositional statements. Results indicated that the model holds in some degree at the group level but not at the individual level. Discussion focuses on mechanisms that drive interaction prior to the emergence of a group-level solution.","PeriodicalId":48176,"journal":{"name":"Communication Monographs","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communication Monographs","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1080/03637751.2021.1998565","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 1
Abstract
ABSTRACT Group participants often develop a range of problem solutions before discussion. We addressed whether, and at what level of analysis, initial opinions influence discussion and perceptions of decision outcomes. The Group Valence Model (GVM) presents a dual-process approach to interaction and decision making as a function of the distribution of supportive and oppositional comments. GVM predicts that discussion reflects individual-level opinions until a group solution emerges, whereupon discussion is influenced by group-level factors. Data from four previous studies were machine-coded for supportive and oppositional statements. Results indicated that the model holds in some degree at the group level but not at the individual level. Discussion focuses on mechanisms that drive interaction prior to the emergence of a group-level solution.
期刊介绍:
Communication Monographs, published in March, June, September & December, reports original, theoretically grounded research dealing with human symbolic exchange across the broad spectrum of interpersonal, group, organizational, cultural and mediated contexts in which such activities occur. The scholarship reflects diverse modes of inquiry and methodologies that bear on the ways in which communication is shaped and functions in human interaction. The journal endeavours to publish the highest quality communication social science manuscripts that are grounded theoretically. The manuscripts aim to expand, qualify or integrate existing theory or additionally advance new theory. The journal is not restricted to particular theoretical or methodological perspectives.