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http://dx.doi.org/10.19066/cogsci.2019.30.3.2

A Comparison between Factor Structure and Semantic Representation of Personality Test Items Using Latent Semantic Analysis  

Park, Sungjoon (KAIST School of Computing)
Park, Heeyoung (Seoul National University Department of Psychology)
Kim, Cheongtag (Seoul National University Department of Psychology)
Publication Information
Korean Journal of Cognitive Science / v.30, no.3, 2019 , pp. 133-156 More about this Journal
Abstract
To investigate how personality test items are understood by participants, their semantic representations were explored by Latent Semantic Analysis, In this thesis, Semantic Similarity Matrix was proposed, which contains cosine similarity of semantic representations between test items and personality traits. The matrix was compared to traditional factor loading matrix. In preliminary study, semantic space was constructed from the passages describing the five traits, collected from 154 undergraduate participants. In study 1, positive correlation was observed between the factor loading matrix of Korean shorten BFI and its semantic similarity matrix. In study 2, short personality test was constructed from semantic similarity matrix, and observed that its factor loading matrix was positively correlated with the semantic similarity matrix as well. In conclusion, the results implies that the factor structure of personality test can be inferred from semantic similarity between the items and factors.
Keywords
LSA; EFA; construct validity; Big Five; semantic representation;
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