Evidence map›Paper›PMID 37900197›Full record

ArticleF1000Research2023

Development of a Japanese version of the Awe Experience Scale (AWE-S): A structural topic modeling approach.

Ryota Takano, Akiko Matsuo, Kazuaki Kawano

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Article in F1000Research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Ryota TakanoKojimachi Business Center Building, Japan Society for the Promotion of Science, Tokyo, 102-0083, Japan.ORCID 0000-0003-1077-2322
Akiko MatsuoResearch Center for Advanced Science and Technology, The University of Tokyo, Meguro-Ku, Tokyo, 153-8904, Japan.
Kazuaki KawanoDepartment of Psychology, Tokai Gakuen University, Nagoya, Aichi, 468-8514, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAwe, a complex emotion, arises in response to perceptually and conceptually vast stimuli that transcend one's current frames of reference, which is associated with subjective psychological phenomena, such as a sense of self and consciousness. This study aimed to develop a Japanese version of the Awe Experience Scale (AWE-S), a widely used questionnaire that robustly measured the state of awe, and simultaneously investigated how the multiple facets of awe related to the narrative representations of awe experiences.

methodsThe Japanese AWE-S was created via back-translation and its factor structure and validity was investigated through an online survey in Japan.

resultsThe results revealed that the Japanese AWE-S consisted of the same six factors as the original (i.e., time, self-loss, connectedness, vastness, physiological, and accommodation) and had sufficient internal consistency, test-retest reliability, construct validity, and also Japan-specific characteristics. The structured topic modeling generated seven potential topics of the descriptions of awe experiences, which were differently associated with each factor of the Japanese AWE-S.

conclusionsOur findings contribute to a deeper understanding of awe and reveal the constructs of awe in Japan through cross-cultural comparisons. Furthermore, this study provides conceptual and methodological implications regarding studies on awe.

Indexed as

East Asian PeopleEmotionsCross-Cultural ComparisonHumansJapanReproducibility of ResultsSurveys and Questionnairesawecultureemotionnarrativequestionnairescaletext-miningtopic modeling

Identifiers

PMID37900197
PMCPMC10611950

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.