ArticlePloS one2024
Cross-cultural adaptation, reliability and validity of the Turkish version of the Smart Tools Proneness Questionnaire (STP-Q).
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
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3 authors.
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Abstract
This study elucidates the cross-cultural adaptation, reliability, and validity of the Turkish version of the Smart Tools Proneness Questionnaire (STP-Q), designed to probe into individuals' engagement with smart tools within the Turkish cultural milieu. Undertaking a rigorous adaptation process, this investigation aimed to ensure the questionnaire's relevance and intelligibility, subsequently, assessing its psychometric properties within a cohort of 387 participants. The exploratory factor analysis revealed a tripartite structure that reflects the original instrument, covering utilitarian use, hedonic and social use, and the inclination to delegate tasks. This congruity underscores the STP-Q's adeptness in capturing the complex dimensions of smart tool interaction across various contexts. Demonstrated by a Cronbach's alpha of 0.954 and a test-retest reliability index of 0.851, the results affirm the questionnaire's exceptional internal consistency and significant temporal stability. Further, the execution of convergent validity assessments alongside the E-Learning Readiness Scale and the Nomophobia Questionnaire augmented the STP-Q's validity, unveiling correlations that delineate the intricate interrelations among smart tool proneness, e-learning readiness, and nomophobia. Conclusively, the STP-Q distinguishes itself as a reliable and valid instrument for gauging tendencies towards smart tool use among the Turkish populace, providing profound insights into digital behavior across different cultural backgrounds. Its confirmed three-factor structure and robust psychometric attributes render it an indispensable resource for both individual assessments and expansive digital behavior investigations, enabling cross-cultural comparisons and enhancing our understanding of technology engagement dynamics.
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