UZH-Logo

Maintenance Infos

Temperamental basis of sense of humor: validating the state-trait-cheerfulness-inventory in Mainland China


Chen, Guo-Hai; Ruch, Willibald; Li, Yan-Na (2016). Temperamental basis of sense of humor: validating the state-trait-cheerfulness-inventory in Mainland China. HUMOR: International Journal of Humor Research, 29(1):77-97.

Abstract

This paper examined the reliability and validity of the State-Trait-Cheerfulness-Inventory (STCI) in Mainland China. The Chinese translation of the STCI-T<106i>, STCI-S<45i> and the Temporal Satisfaction with Life Scale (TSWLS) were administered to 476 university students (313 females, 157 males, 6 missing; 20.40 ± 1.35 years of age). Results showed that the STCI-T<106> and the STCI-S<45> had high Cronbach alphas ranging from 0.60 to 0.92 in Mainland China, and the factorial structures of the instruments were supported. The STCI-T<60> and STCI-S<30> were developed utilizing three criteria for the selection of items. Cronbach alphas were satisfactory ranging from 0.67 to 0.94. The factor structure of the items appeared to be highly generalizable in Mainland China. Joint factor analyses of the state and trait items yielded three factors (cheerfulness, seriousness and bad mood) both as traits and states with the homologous concepts positively correlated. As expected, cheerfulness correlated negatively with bad mood, and cheerfulness correlated negatively with state seriousness. Meanwhile, seriousness correlated positively with bad mood. Moreover, life satisfaction was related positively with cheerfulness and negatively with bad mood, and could be predicted by high cheerfulness and low bad mood. Applications of the STCI-T<60> and STCI-S<30> in the Chinese context and future research are discussed.

Abstract

This paper examined the reliability and validity of the State-Trait-Cheerfulness-Inventory (STCI) in Mainland China. The Chinese translation of the STCI-T<106i>, STCI-S<45i> and the Temporal Satisfaction with Life Scale (TSWLS) were administered to 476 university students (313 females, 157 males, 6 missing; 20.40 ± 1.35 years of age). Results showed that the STCI-T<106> and the STCI-S<45> had high Cronbach alphas ranging from 0.60 to 0.92 in Mainland China, and the factorial structures of the instruments were supported. The STCI-T<60> and STCI-S<30> were developed utilizing three criteria for the selection of items. Cronbach alphas were satisfactory ranging from 0.67 to 0.94. The factor structure of the items appeared to be highly generalizable in Mainland China. Joint factor analyses of the state and trait items yielded three factors (cheerfulness, seriousness and bad mood) both as traits and states with the homologous concepts positively correlated. As expected, cheerfulness correlated negatively with bad mood, and cheerfulness correlated negatively with state seriousness. Meanwhile, seriousness correlated positively with bad mood. Moreover, life satisfaction was related positively with cheerfulness and negatively with bad mood, and could be predicted by high cheerfulness and low bad mood. Applications of the STCI-T<60> and STCI-S<30> in the Chinese context and future research are discussed.

Altmetrics

Downloads

1 download since deposited on 13 Apr 2016
1 download since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Psychology
Dewey Decimal Classification:150 Psychology
Date:2016
Deposited On:13 Apr 2016 14:39
Last Modified:13 Apr 2016 14:39
Publisher:De Gruyter
ISSN:0933-1719
Publisher DOI:https://doi.org/10.1515/humor-2015-0129

Download

[img]
Content: Published Version
Language: English
Filetype: PDF - Registered users only until 17 February 2017
Size: 1MB
View at publisher
Embargo till: 2017-02-17

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations