Literature DB >> 27658956

Development of short-form and screening cutoff point of the Smartphone Addiction Inventory (SPAI-SF).

Yu-Hsuan Lin1,2, Yuan-Chien Pan3, Sheng-Hsuan Lin4, Sue-Huei Chen3.   

Abstract

Smartphone addiction is considered a form of technological addiction that has attracted increasing attention. The present study developed and validated the short-form Smartphone Addiction Inventory (SPAI-SF) and established cutoff point for screening smartphone addiction based on diagnostic criteria established by psychiatric interview. A total of 268 participants completed an online survey that collected demographic data, smartphone use behaviours, and responses to the 26-item SPAI. Each participant also completed a psychiatric interview. Confirmatory factor analysis (CFA) revealed that the 10-item SPAI-SF replicated the structure of original 26-item SPAI accurately, yielding a four-factor model consisting of compulsive behaviour, functional impairment, withdrawal, and tolerance. For maximal diagnostic accuracy, a cutoff point of 24/25 best discriminated cases of smartphone addiction from diagnostic negatives. The present findings suggest that both the 26-item SPAI and SPAI-SF manifest the four constructs of behavioural addiction and the characteristics of smartphone addiction. The cutoff point determined by psychiatrists' diagnostic interview will be useful for clinical screening and epidemiologic research.
Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  cutoff point; short-form SPAI; smartphone addiction

Mesh:

Year:  2016        PMID: 27658956      PMCID: PMC6877212          DOI: 10.1002/mpr.1525

Source DB:  PubMed          Journal:  Int J Methods Psychiatr Res        ISSN: 1049-8931            Impact factor:   4.035


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9.  Development of short-form and screening cutoff point of the Smartphone Addiction Inventory (SPAI-SF).

Authors:  Yu-Hsuan Lin; Yuan-Chien Pan; Sheng-Hsuan Lin; Sue-Huei Chen
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3.  Development of short-form and screening cutoff point of the Smartphone Addiction Inventory (SPAI-SF).

Authors:  Yu-Hsuan Lin; Yuan-Chien Pan; Sheng-Hsuan Lin; Sue-Huei Chen
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