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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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    Investigation the Mediator Role of Sense of Coherence in the Relationship Between Self-Differentiation and Alexitymia in University Students
    (Turkish Psychological Counseling and Guidance Association, 2020) Yildiz, Banu
    This study is aimed to examine the mediating role of sense of coherence in the relationship between self- differentiation and alexithymia. The study group of this research was consisted of 303 university students 184 women (60.7%) and 119 men (39.3%). The mean age of the participants was 19.96 (Sd=1.87). All measurement tools used in the research were applied anonymously. Descriptive statistics, Pearson Product Moment Correlation Coefficient and mediation analysis were used in the study. The findings obtained from the study revealed that self-differentiation is positively associated with sense of coherence and that both self-differentiation and sense of coherence are negatively correlated with alexithymia. According to the mediation analysis, the mediator role of sense of coherence in the relationship between self-differentiation and alexithymia was found to be statistically significant. © The Author(s) 2020.