Eifert Anna, Julmi Christian
Department of Business Administration and Economics, FernUniversität in Hagen, Hagen, Germany.
FernUniversität in Hagen, Fakultät für Wirtschaftswissenschaft, Lehrstuhl für Betriebswirtschaftslehre, insb. Organisation und Planung, 58084, Hagen, Germany.
Behav Res Methods. 2024 Dec 18;57(1):20. doi: 10.3758/s13428-024-02566-2.
This article develops a comprehensive database comprising 5956 German affective norms specifically tailored for the study of organizational atmospheres through computational verbal language analysis. This dictionary adopts both dimensional and categorical approaches. The theoretical foundation of this study is the circumplex model of affective atmospheres. Similar to established methodologies, each word is rated based on the dimensions of valence and arousal. Going beyond the dimensional approach, this article introduces a classification system with 11 distinct atmospheric categories, assigning the words to their corresponding categories. This dictionary represents the first attempt to apply computer-aided text analysis (CATA) to the study of organizational atmospheres, providing a practical tool to support research in this developing area.
本文通过计算性言语分析,开发了一个专门为组织氛围研究量身定制的包含5956个德语情感规范的综合数据库。该词典采用了维度法和分类法。本研究的理论基础是情感氛围的环形模型。与既定方法类似,每个单词都根据效价和唤醒维度进行评级。除了维度法,本文还引入了一个具有11个不同氛围类别的分类系统,将单词分配到相应类别。该词典代表了将计算机辅助文本分析(CATA)应用于组织氛围研究的首次尝试,为支持这一发展中领域的研究提供了一个实用工具。