The final, formatted version of the article will be published soon.
SYSTEMATIC REVIEW article
Front. Polit. Sci.
Sec. Political Science Methodologies
Volume 6 - 2024 |
doi: 10.3389/fpos.2024.1305055
Studying political decision-making as a cognitive process: Is it interdisciplinary? A bibliometric analysis Author information has been removed for blind review
Provisionally accepted- Laval University, Quebec, Canada
At the turn of the century, Krosnick and McGraw (2002) raised concerns about whether research at the intersection of psychology and political science should be regarded as a multidisciplinary subfield within political science or as an independent interdisciplinary field of study contributing to both disciplines. More than two decades later, how does the literature on political decision-making approach this discussion? Should this application of political cognition research be viewed as a multidisciplinary subfield within political science or as an independent interdisciplinary field contributing to both disciplines? This study explores the organizational framework of research and the trends in publications within political decision-making literature. Through a bibliometric analysis, we provide readers with a better understanding of the disciplinary characteristics of research in political decision-making. The findings suggest that research leans more towards being multidisciplinary rather than strictly interdisciplinary, as it is: i) mainly issued in political science journals; ii) conducted to a large extent by political scientists; and iii) based primarily on political science and observational designs, despite political scientists’ familiarity with experimental designs. Ultimately, departmental affiliation is the key factor in predicting cited literature, with political scientists favoring political science research and researchers in psychology leaning towards psychology.
Keywords: Political decision-making, Cognition, Psychology, Political Science, Multidisciplinarity, interdisciplinarity, bibliometric analysis
Received: 30 Sep 2023; Accepted: 15 Nov 2024.
Copyright: © 2024 Béchard, Bodet, Laflamme and Ouimet. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Benoît Béchard, Laval University, Quebec, Canada
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.