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      Measuring psychometric properties of the Indonesian version of the NoMoPhobia Questionnaire (NMPQ): insight from Rasch measurement tool

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          Exploring the dimensions of nomophobia: Development and validation of a self-reported questionnaire

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            The Psychometric Properties of the Smartphone Application-Based Addiction Scale (SABAS)

            The goal of the study was to validate the English version of the Smartphone Application-Based Addiction Scale (SABAS; Csibi et al. 2016), which is a short and easy-to-use tool for screening the risk of smartphone application-based addiction. Another aim was to identify the most frequently used smartphone applications and their perceived importance by the participants. Data were collected online from 240 English-speaking volunteers, aged 18 to 69 years. The instruments used were the SABAS, the Nomophobia Questionnaire (NMP-Q), the Brief Sensation Seeking Scale (BSSS), the Deprivation Sensation Scale (DSS), and the Patient Health Questionnaire (PHQ-9). Participants also ranked the importance of their most frequently used smartphone applications. The six items of the SABAS yielded one component, which accounted for 52.38% of the total variance. The internal reliability of the scale was good (Cronbach’s alpha 0.81). NMP-Q was a significant predictor of SABAS, explaining 17.6% of the total variance. The regression analysis, with SABAS score as the dependent variable and NMP-Q, DSS, PHQ-9, and BSSS scores as predictors, indicated that approximately 47% of the variance in SABAS was accounted for by the predictors (R 2 = 0.47). The English version of the SABAS appears to be a valid and reliable ultra-brief tool for a quick and easy assessment of smartphone application-based addiction symptoms.
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              Smartphone withdrawal creates stress: A moderated mediation model of nomophobia, social threat, and phone withdrawal context

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                Author and article information

                Journal
                Journal of Physics: Conference Series
                J. Phys.: Conf. Ser.
                IOP Publishing
                1742-6588
                1742-6596
                November 01 2018
                November 2018
                December 07 2018
                : 1114
                : 012127
                Article
                10.1088/1742-6596/1114/1/012127
                bcb21dc2-1fef-4010-95ce-902294a3aaa9
                © 2018

                http://iopscience.iop.org/info/page/text-and-data-mining

                http://creativecommons.org/licenses/by/3.0/

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