Validation of Two Short Personality Inventories Using Self-Descriptions in Natural Language and Quantitative Semantics Test Theory

Frontiers in Psychology

article

Danilo Garcia¹  Patricia Rosenberg¹  Ali Al Nima¹  Alexandre Granjard¹  Kevin M. Cloninger¹  Sverker Sikström⁵ 

[1] Blekinge Center of Competence;Department of Psychology, University of Gothenburg;Department of Behavioral Science and Learning, Linköping University;Anthropedia Foundation, United States;Department of Psychology, Lund University

关键词: character;    identity;    quantitative semantic test theory;    narrative self;    personality;   

DOI  :  10.3389/fpsyg.2020.00016

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

Background If individual differences are relevant and prominent features of personality, then they are expected to be encoded in natural language, thus manifesting themselves in single words. Recently, the quantification of text data using advanced natural language processing techniques offers innovative opportunities to map people’s own words and narratives to their responses to self-reports. Here, we demonstrate the usefulness of self-descriptions in natural language and what we tentatively call Quantitative Semantic Test Theory (QuSTT) to validate two short inventories that measure character traits.

【 授权许可】

CC BY