AKILLI TELEFON BAĞIMLILIĞI ENVANTERİ-KISA FORMU’NUN TÜRKÇE’YE UYARLANMASI VE ANKARA’NIN PURSAKLAR İLÇESİ’NDEKİ LİSELERDE ÖĞRENİM GÖREN 10. SINIF ÖĞRENCİLERİNİN AKILLI TELEFON KULLANMA VE BAĞIMLILIK DURUMU
Devran Muharremoğlu, Zeynep
xmlui.mirage2.itemSummaryView.MetaDataShow full item record
The aim of this study was to determine the validity and reliability of the Smart Phone Addiction Inventory-Short Form (SPAI-SF) and to investigate some of the factors related to smartphone use and smartphone addiction among 10th grade students studying in Pursaklar District of Ankara. The first stage of this study was conducted in two stages. The first stage was a methodologic of study and the second stage was cross-sectional. Data were collected under the observation of 644 students attending 16 high schools in May 2019 with their consent. The data were collected by means of data collection tool consisting of four parts: “socio-demographic characteristics”, “features related to technology”, “features related to smartphone use” and “features related to internet use”. Two weeks after the data collection (20-24 May), the SPAI-SF was repeated among 109 students using the smartphone whose nicknames were identified, which were available in the same sample for the test-retest reliability analysis, and were available for retesting. First stage; SPAI-SF was accepted as a “valid” scale after “language”, “surface”, “criterion” and “structure validity analyzes. The four sub-dimensions of SPAI SF have been confirmed in Turkish form in accordance with the original. The Cronbach alpha value calculated in the reliability analyzes of SPAI-SF is 0.853. Cronbach alpha values calculated for the sub-dimensions of the scale ranged from 0.589 to 0.745. In addition, as a result of test-retest reliability analysis, a significant positive correlation was found between test-retest scale scores (r = 0.68, p<0.001). As a result, the scale was accepted as a “reliable” scale. It is recommended that the Turkish version of SPAI SF can be used for the assessment of smartphone addiction in adolescents. In the second stage; The relationship between students' socio-demographic and smartphone use and smartphone addiction status was investigated using SPAI-SF, which was shown to be valid and reliable. Students who score 24 points or more from SPAI-SF, the original cut-off point, are considered smartphone addicts. More than half (59.9%) of the students participated in the study were women and their ages were between 15-19 years. More than half of the participants were from vocational high schools (50.9%); the majority (81.4%) are educated in public schools. Participants have been using smartphones for an average of four years, and the average age of having a smartphone is 13, with an average of three smartphones. The average time they spend on a daily smartphone is approximately five hours. The earlier the students had their first smartphones, the more smartphones they had (r=-0.59, p<0.001) and the time they allocated to the smartphone daily (r=-0.08, p=0.04). As the year of using the smartphone increases, the time allocated by the students to the smartphone increases (r=0.14, p<0.001). As a result of multiple logistic regression analysis, female gender 1.7 times for smartphone addiction, 1.8 times to be the first child of the family, 2.1 times to spend time on the internet, 1.07 times to devote more time to smartphone daily, using smart phone in family those with a higher number of persons have a risk of 1.3 times and those whose parents do not participate in the decision-making process have a risk of 1.5 times. Also, those who spend their time out of school with sports are less smartphone addicts (p=0.007). As a result of this research, it is thought that it is important to determine the level of smartphone addiction of adolescents and to take necessary measures in this regard.