232 The Facebook Addiction Scale FAS The Facebook addiction of the university

232 the facebook addiction scale fas the facebook

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2.3.2. The Facebook Addiction Scale (FAS) The Facebook addiction of the university students was determined with the FAS which Çam developed by adapting the Internet Addiction Test developed by Young to the Facebook addiction. The adaptation of the Internet Addiction Test to the Facebook Addiction Scale was made with 1494 university students. The FAS consists of one dimension, and its Cronbach’s alpha coefficient is 0.93. It explains the 43.86% of the total variance. It has 19 items and is a six-point Likert-type scale [9]. 2.3.3. The Smart Phone Addiction Scale – Short Form (SPAS-SF) The smart phone addiction of the university students was found out with the short form of the Smart Phone Addiction Scale which Noyan et al. adapted to Turkish from the long form of the Smart Phone Addiction Scale with 33 items developed by Kwon et al. The SPAS-SF consisting of 10 items is a six-point Likert-type scale. The Cronbach’s alpha coefficient of the scale whose Turkish adaptation study was made with 367 students was measured 0.867. It was determined that the SPAS-SF having a one-dimensional structure explains the 46.3% of the total variance [10]. 2.3.4 The Young’s Internet Addiction Test Short Form (YIATSF) The Internet addiction of the youth was revealed by using the Internet Addiction Test – Short Form developed by Young and adapted to Turkish by Savcı et al. The YIATSF is a one-dimensional, 12-item, and five-point Likert-type scale. Its Cronbach’s alpha coefficient was calculated 0.91, and it was determined to explain the 39.52% of the total variance in the Turkish adaptation study made with the university students [21]. 2.4. Data Collection and Analysis Permission was taken from the faculty members who worked at the universities where the students in the research group studied. The data were collected by the faculty members within their class times. The data collected based on voluntariness were computerized and analyzed with SPSS and LISREL. 3. Findings 3.1. Exploratory Factor Analysis Before making the factor analysis, the item-total point correlation coefficients of each item was calculated. If the item-total point correlation is below 0.30, it means that the discrimination levels of the items are good [22]. Therefore, the 15 th and 18 th items whose item-total correlation points are below 0.30 were not included in the factor analysis. The number of 500 participants is good for the sample size in the factor analysis [23]. Therefore, the sample size in this study is sufficient. The fitness of the data for the factor analysis was determined with Kaiser-Meyer-Olkin (KMO) test and Bartlett Test of Sphericity. That the KMO value is above .80 indicates that the fitness of the variables for the factor analysis is in the “perfect” level. That the result of the Bartlett Test of Sphericity is significant shows that there is a sufficient relation among the variables to make the factor analysis [24]. The varimax approach was adopted as to develop a scale which will obtain the highest amount of information with a few items by decreasing the number of variables was aimed. Eigenvalue is an important
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  • Fall '09
  • Pearson product-moment correlation coefficient, university students

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