Akademik Veri Yönetim Sistemi
25. Uluslararası Psikolojik Danışma ve Rehberlik Kongresi, Ankara, Türkiye, 16 - 19 Mayıs 2024, (Özet Bildiri)
Although there are many studies in the literature focusing on the negative causes and
consequences of smartphone addiction, studies investigating protective factors against
smartphone addiction are limited. Therefore, the main purpose of this study is to examine the
factors that reduce smartphone addiction in line with the positive psychology approach. An
exploratory sequential mixed methods design was used. The first part of the study was
conducted using the qualitative method, and the second part used the quantitative method.
Qualitative data were collected in May and June 2023. Data collection tools were the Personal
Information Form, Smartphone Addiction Inventory, and Interview Form. Within the scope of
the first study, 13 students with high smartphone use (at least one standard deviation above the
mean) were selected among 84 university students, and the factors that reduce their smartphone
use were investigated through semi-structured interviews. The data were analyzed by content
analysis. According to the qualitative findings, self-control, social relationships, sports
activities, hobbies, and responsibilities were the categories that reduce smartphone use. In the
second study, in line with the results obtained from the first study, the relationship between
self-control, social relationships, and responsibility with smartphone addiction was examined.
For this purpose, research data were collected from 612 students, 427 female (70%) and 185
male (30%), between August and December 2023. Smartphone Addiction Inventory,
Multidimensional Self-Control Scale, Social Relations Scale, and Responsibility Scale were
used as data collection tools. As a result of the study, contrary to the first study's findings, social
relationships did not have a statistically significant relationship with smartphone addiction.
Then, the predictive effect of responsibility and self-control variables on smartphone addiction
was examined with structural equation modeling. In the model test results, it was found that
although responsibility was correlated to smartphone addiction, it did not predict smartphone
addiction because it had a high variance ratio with self-control. On the other hand, self-control
has a moderately negative significant predictive effect on smartphone addiction. In line with
these results, self-control is an essential protective factor for smartphone addiction. The findings
were discussed within the framework of the related literature, and suggestions were presented.