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    Can risky behaviors, gaming addiction, and family sense of coherence accurately classify gender among university students?
    (Springer, 2020) Savci, Mustafa; Ercengiz, Mustafa; Yildiz, Banu; Griffiths, Mark D.; Aysan, Ferda
    The present study examined whether risky behaviors, gaming addiction, and family sense of coherence classify female and male university students correctly. For this purpose, Logistic Regression Analysis (LRA) was used. The main purpose of LRA is to estimate which group the individual is a member of. LRA is widely used to predict categorical data (i.e., male and female, addicted and non-addicted, single and married). The present study comprised 281 university students (148 females and 133 males) who had been playing digital videogames for at least six months. The measures used included the Risk Behaviors Scale, Digital Game Addiction Scale, and Family Sense of Coherence Scale-Short Form. Analysis demonstrated that risky behavior, gaming addiction, and family sense of coherence predicted gender with 76.5% accuracy. In other words, risky behaviors, gaming addiction, and family sense of coherence scores can predict a high probability that an individual is male or female. More specifically, risky behaviors (school dropout, antisocial behaviors, alcohol use, smoking, and eating habits) and gaming addiction contributed significantly to the classification of an individual being male or female. The biggest contribution in the classification of gender was digital gaming addiction. Family sense of coherence and risky behaviors such as substance use and suicide tendency did not contribute significantly to gender classification. The present study provided important resulted in terms of demonstrating risk factors related to gender.
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    Differentiation of self, emotion management skills, and nomophobia among smartphone users: The mediating and moderating roles of intolerance of uncertainty
    (Routledge Journals, Taylor & Francis Ltd, 2020) Ercengiz, Mustafa; Yıldız, Banu; Savcı, Mustafa; Griffiths, Mark D.
    The use of smartphones has become increasingly widespread, especially among university students. There is a growing body of research interest related to problematic and excessive use of smartphones. Problematic smartphone usage can cause negative emotions such as intense anxiety and distress when the smartphone cannot be used (e.g., nomophobia), and can lead to negative consequences on mental health. In the present study, two different mediating and moderating effects in which nomophobia was the outcome variable were examined. Firstly, the mediating effect of intolerance of uncertainty was tested in the relationship between differentiation of self and nomophobia. Secondly, the mediating effect of intolerance of uncertainty was tested in the relationship between emotion management skills and nomophobia. Third, the moderating effect of intolerance of uncertainty was tested in the relationship between differentiation of self and nomophobia. Finally, the moderating effect of intolerance of uncertainty was tested in the relationship between emotion management skills and nomophobia. The present study comprised 398 university students (250 females and 148 males). The measures used included the Differentiation of Self Inventory-Revised, Emotions Management Skills Scale, Nomophobia Questionnaire, and Intolerance of Uncertainty Scale. Findings demonstrated that the mediating of intolerance of uncertainty were statistically significant in the relationships examined, but the moderating effects of intolerance of uncertainty were not. Research results are discussed in the light of the related literature and suggestions are presented for future researchers.