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      Connected to TV series: Quantifying series watching engagement

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          Abstract

          Background and aims

          Television series watching stepped into a new golden age with the appearance of online series. Being highly involved in series could potentially lead to negative outcomes, but the distinction between highly engaged and problematic viewers should be distinguished. As no appropriate measure is available for identifying such differences, a short and valid measure was constructed in a multistudy investigation: the Series Watching Engagement Scale (SWES).

          Methods

          In Study 1 ( N Sample1 = 740 and N Sample2 = 740), exploratory structural equation modeling and confirmatory factor analysis were used to identify the most important facets of series watching engagement. In Study 2 ( N = 944), measurement invariance of the SWES was investigated between males and females. In Study 3 ( N = 1,520), latent profile analysis (LPA) was conducted to identify subgroups of viewers.

          Results

          Five factors of engagement were identified in Study 1 that are of major relevance: persistence, identification, social interaction, overuse, and self-development. Study 2 supported the high levels of equivalence between males and females. In Study 3, three groups of viewers (low-, medium-, and high-engagement viewers) were identified. The highly engaged at-risk group can be differentiated from the other two along key variables of watching time and personality.

          Discussion

          The present findings support the overall validity, reliability, and usefulness of the SWES and the results of the LPA showed that it might be useful to identify at-risk viewers before the development of problematic use.

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          Most cited references99

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          From alpha to omega: a practical solution to the pervasive problem of internal consistency estimation.

          Coefficient alpha is the most popular measure of reliability (and certainly of internal consistency reliability) reported in psychological research. This is noteworthy given the numerous deficiencies of coefficient alpha documented in the psychometric literature. This mismatch between theory and practice appears to arise partly because users of psychological scales are unfamiliar with the psychometric literature on coefficient alpha and partly because alternatives to alpha are not widely known. We present a brief review of the psychometric literature on coefficient alpha, followed by a practical alternative in the form of coefficient omega. To facilitate the shift from alpha to omega, we also present a brief guide to the calculation of point and interval estimates of omega using a free, open source software environment. © 2013 The British Psychological Society.
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            The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study.

            Over the last decade, research into "addictive technological behaviors" has substantially increased. Research has also demonstrated strong associations between addictive use of technology and comorbid psychiatric disorders. In the present study, 23,533 adults (mean age 35.8 years, ranging from 16 to 88 years) participated in an online cross-sectional survey examining whether demographic variables, symptoms of attention-deficit/hyperactivity disorder (ADHD), obsessive-compulsive disorder (OCD), anxiety, and depression could explain variance in addictive use (i.e., compulsive and excessive use associated with negative outcomes) of two types of modern online technologies: social media and video games. Correlations between symptoms of addictive technology use and mental disorder symptoms were all positive and significant, including the weak interrelationship between the two addictive technological behaviors. Age appeared to be inversely related to the addictive use of these technologies. Being male was significantly associated with addictive use of video games, whereas being female was significantly associated with addictive use of social media. Being single was positively related to both addictive social networking and video gaming. Hierarchical regression analyses showed that demographic factors explained between 11 and 12% of the variance in addictive technology use. The mental health variables explained between 7 and 15% of the variance. The study significantly adds to our understanding of mental health symptoms and their role in addictive use of modern technology, and suggests that the concept of Internet use disorder (i.e., "Internet addiction") as a unified construct is not warranted.
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              Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research

              Background Behavioral addiction research has been particularly flourishing over the last two decades. However, recent publications have suggested that nearly all daily life activities might lead to a genuine addiction. Methods and aim In this article, we discuss how the use of atheoretical and confirmatory research approaches may result in the identification of an unlimited list of “new” behavioral addictions. Results Both methodological and theoretical shortcomings of these studies were discussed. Conclusions We suggested that studies overpathologizing daily life activities are likely to prompt a dismissive appraisal of behavioral addiction research. Consequently, we proposed several roadmaps for future research in the field, centrally highlighting the need for longer tenable behavioral addiction research that shifts from a mere criteria-based approach toward an approach focusing on the psychological processes involved.
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                Author and article information

                Journal
                jba
                JBA
                Journal of Behavioral Addictions
                J Behav Addict
                Akadémiai Kiadó (Budapest )
                2062-5871
                2063-5303
                26 December 2017
                December 2017
                : 6
                : 4
                : 472-489
                Affiliations
                [ 1 ]Doctoral School of Psychology, ELTE Eötvös Loránd University , Budapest, Hungary
                [ 2 ] Institute of Psychology, ELTE Eötvös Loránd University , Budapest, Hungary
                [ 3 ] Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences , Budapest, Hungary
                Author notes
                [* ]Corresponding author: István Tóth-Király; Institute of Psychology, ELTE Eötvös Loránd University, Izabella utca 46, Budapest H-1064, Hungary; Phone: +36 20 582 9949; E-mails: tothkiralyistvan@ 123456gmail.com ; toth-kiraly.istvan@ 123456ppk.elte.hu
                Article
                10.1556/2006.6.2017.083
                6034953
                29280396
                aeace8bd-38c4-408a-846b-eb98ada1f0e1
                © 2017 The Author(s)

                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
                : 03 April 2017
                : 10 September 2017
                : 03 December 2017
                Page count
                Figures: 1, Tables: 9, Equations: 0, References: 115, Pages: 18
                Funding
                Funding sources: IT-K was supported by the ÚNKP-17-3 New National Excellence Program awarded by the Hungarian Ministry of Human Capacities. GO was supported by the Hungarian Research Fund (NKFI PD 116686, FK 124225).
                Categories
                FULL-LENGTH REPORT

                Evolutionary Biology,Medicine,Psychology,Educational research & Statistics,Social & Behavioral Sciences
                Series Watching Engagement Scale (SWES),exploratory structural equation modeling (ESEM),latent profile analysis (LPA),problematic use,series watching engagement,TV series watching

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