基于文本的交互记忆系统强度测量

IF 3 3区心理学 Q2 MANAGEMENT

Small Group Research Pub Date : 2023-07-02 DOI:10.1177/10464964231182130

Jonathan Kush, B. Aven, L. Argote

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引用次数: 0

摘要

我们开发了一种方法，通过计算机辅助文本分析来评估事务记忆系统（TMS）的三个指标——专业化、可信度和协调性。首先，人类编码者评估了代表这些指标的短语的组转录本。从这些短语中，我们确定了频繁出现的单词，以开发TMS指标词典。我们总共分析了由1091个人组成的262个小组。TMS指标的人类编码和基于字典的评估都与TMS的流行调查评估显著相关。我们的方法可以通过在管理调查不可行的情况下对TMS进行分析来提高对TMS的理解。

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A Text-Based Measure of Transactive Memory System Strength

We develop a method to assess the three indicators of transactive memory systems (TMS)—specialization, credibility, and coordination—through computer-aided text analysis. First, human coders assessed group transcripts for phrases representative of these indicators. From those phrases, we identified words that occurred frequently to develop a dictionary of TMS indicators. In total, we analyzed 262 groups composed of 1,091 individuals. Both the human-coded and dictionary-based assessments of TMS indicators are significantly related to a popular survey-based assessment of TMS. Our approach could be used to advance understanding of TMS by analyzing it in contexts where administering surveys is not feasible.

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来源期刊

Small Group Research Multiple-

CiteScore

6.70

自引率

5.40%

发文量

期刊介绍： Policy: Small Group Research is an international and interdisciplinary journal presenting research, theoretical advancements, and empirically supported applications with respect to all types of small groups. Through advancing the systematic study of small groups, this journal seeks to increase communication among all who are professionally interested in group phenomena.