A trait-based network perspective on the validation of the French Short Boredom Proneness Scale

Abstract

To explore the interplay between boredom, curiosity, and exploration, we computed a network analysis—a promising method from the emerging field of network psychometrics. This analysis (n = 490) revealed the structure of the relationships between the Short Boredom Proneness Scale (SBPS) and the two facets of the Curiosity and Exploration Inventory-II (CEI-II). Using a standard confirmatory factor analysis, we then report on the structural validation of the French SBPS, which provided support for the original conceptualization of the construct. To evaluate measurement invariance, we compared the French-speaking sample (n = 490) with an English-speaking sample (n = 364). Full configural, metric, and scalar invariance was established; thus, we provide a valid French translation of a frequently used measure of boredom that may benefit future research. The results are discussed in the context of theoretical accounts of boredom.

A Trait-Based Network Perspective on the Validation of the French Short Boredom Proneness Scale

“…Open Data: We confirm that there is sufficient information for an independent researcher to reproduce all of the reported results, including codebook. The data and code for the main analyses are available at https://osf.io/thaum/ (Martarelli et al, 2022). Open Materials: We confirm that there is sufficient information for an independent researcher to reproduce all of the reported methodology.…”

“…Open Materials: We confirm that there is sufficient information for an independent researcher to reproduce all of the reported methodology. The questionnaire is available at https://osf.io/ thaum/ (Martarelli et al, 2022)…”