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      Too many swipes for today: The development of the Problematic Tinder Use Scale (PTUS)

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          Abstract

          Background and aims

          Tinder is a very popular smartphone-based geolocated dating application. The goal of the present study was creating a short Problematic Tinder Use Scale (PTUS).

          Methods

          Griffiths’ ( 2005) six-component model was implemented for covering all components of problematic Tinder use. Confirmatory factor analyses were carried out on a Tinder user sample ( N = 430).

          Results

          Both the 12- and the 6-item versions were tested. The 6-item unidimensional structure has appropriate reliability and factor structure. No salient demography-related differences were found. Users irrespectively to their relationship status have similar scores on PTUS.

          Discussion

          Tinder users deserve the attention of scientific examination considering their large proportion among smartphone users. It is especially true considering the emerging trend of geolocated online dating applications.

          Conclusions

          Before PTUS, no prior scale has been created to measure problematic Tinder use. The PTUS is a suitable and reliable measure to assess problematic Tinder use.

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          Most cited references30

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          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

          Li‐tze Hu, Peter M. Bentler (1999)
          Article 0 comments Cited 10596 times – based on 0 reviews     Review now
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            Comparative fit indexes in structural models.

            P. Bentler (1990)
            Normed and nonnormed fit indexes are frequently used as adjuncts to chi-square statistics for evaluating the fit of a structural model. A drawback of existing indexes is that they estimate no known population parameters. A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models. Two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes. CFI avoids the underestimation of fit often noted in small samples for Bentler and Bonett's (1980) normed fit index (NFI). FI is a linear function of Bentler and Bonett's non-normed fit index (NNFI) that avoids the extreme underestimation and overestimation often found in NNFI. Asymptotically, CFI, FI, NFI, and a new index developed by Bollen are equivalent measures of comparative fit, whereas NNFI measures relative fit by comparing noncentrality per degree of freedom. All of the indexes are generalized to permit use of Wald and Lagrange multiplier statistics. An example illustrates the behavior of these indexes under conditions of correct specification and misspecification. The new fit indexes perform very well at all sample sizes.
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              A ‘components’ model of addiction within a biopsychosocial framework

              Mark Griffiths (2009)
              Article 0 comments Cited 624 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Journal ID (publisher-id): 2006
                Journal ID (pmc): jba
                Title: Journal of Behavioral Addictions
                Abbreviated Title: J Behav Addict
                Publisher: Akadémiai Kiadó (Budapest )
                ISSN (Print): 2062-5871
                ISSN (Electronic): 2063-5303
                Publication date (Electronic): 14 July 2016
                Publication date (Print): September 2016
                Volume: 5
                Issue: 3
                Pages: 518-523
                Affiliations
                [ 1 ]Institute of Psychology, Eötvös Loránd University , Budapest, Hungary
                [ 2 ] Institute of Cognitive Neuroscience and Psychology , MTA Research Centre for Natural Sciences, Budapest, Hungary
                Author notes
                [* ]Corresponding author: Dr. Gábor Orosz; Institute of Psychology, Eötvös Loránd University, Izabella utca 46, H-1064 Budapest, Hungary; Phone: +36-70-237-9471; E-mail: orosz.gabor@ 123456ttk.mta.hu
                Article
                Publisher ID: 2006.5.2016.016
                DOI: 10.1556/2006.5.2016.016
                PMC ID: 5264419
                PubMed ID: 27415602
                SO-VID: 1476374f-ef8a-4478-9476-a4f02d3e6c60
                Copyright © © 2016 The Author(s)
                License:

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium for non-commercial purposes, provided the original author and source are credited.

                History
                Date received : 12 June 2015
                Date revision received : 18 November 2015
                Date accepted : 26 December 2015
                Page count
                Figures: 1, Tables: 1, Equations: 0, References: 32, Pages: 26
                Funding
                Funding sources: The first author was supported by the Hungarian Research Fund (NKFI PD 106027, 116686).
                Categories
                Subject: BRIEF REPORT

                ScienceOpen disciplines: Medicine,Psychology,Social & Behavioral Sciences,Clinical Psychology & Psychiatry
                Keywords: CFA,online dating,geolocated,Tinder,Griffiths model,problematic use
                Data availability:
                ScienceOpen disciplines: Medicine, Psychology, Social & Behavioral Sciences, Clinical Psychology & Psychiatry
                Keywords: CFA, online dating, geolocated, Tinder, Griffiths model, problematic use

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