Turkish adaptation of Young's Internet Addiction Test-Short Form: a reliability and validity study on university students and adolescents

Kutlu, Mustafa; Savcı, Mustafa; Demir, Yasin; Aysan, Ferda

doi:10.5455/apd.190501

Cited by 101 publications

(52 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The Turkish adaptation of YIAT-SF was conducted by Kutlu, Savcı, Demir, and Aysan (2016) for both adolescents and university students. As a result of exploratory factor analysis (EFA), the scale was determined to consist of only one factor for both university students and adolescents.…”

Section: Data Collection Tools Young Internet Addiction Test-short Fomentioning

confidence: 99%

The Role of Attachment Styles, Peer Relations, and Affections in Predicting Internet Addiction

Savcı¹,

Aysan²

2016

addicta

Self Cite

View full text Add to dashboard Cite

The role of attachment styles, peer relations and affections in predicting Internet addiction is scrutinized in this study. It has been conducted with a total of 2,440 volunteer adolescents, out of which 1,588 are females and 852 are males, all between 14 and 19 years old and attending various high schools in Elazığ' s city center. In this study, the short form of the young Internet addiction test, the Relationship Scale Questionnaire, the Friendship Qualities Scale, and the Positive and Negative Affect Scale were used as data collection tools. Collected data were analyzed through correlational, multiple, and stepwise regression analyses. Study findings demonstrate that the independent variables of attachment styles, peer relations, and affections explain approximately 19% of Internet addiction. Furthermore, Internet addiction among adolescents was observed to be predominantly predicted by the variables of negative affection, conflict, and secure attachment. Attachment styles, peer relations, and affections were determined to predict Internet addiction, and the contribution of affections in this prediction is striking. The results are discussed within the framework of the literature, and recommendations have been given for future studies and applications.

show abstract

Section: Data Collection Tools Young Internet Addiction Test-short Fomentioning

confidence: 99%

The Role of Attachment Styles, Peer Relations, and Affections in Predicting Internet Addiction

Savcı¹,

Aysan²

2016

addicta

Self Cite

View full text Add to dashboard Cite

show abstract

“…It has 12 items and is a 5‐point Likert scale (1: never, 5: very often). High scores on the scale indicate high levels of Internet addiction …”

Section: Introductionmentioning

confidence: 99%

The effects of technology use on working young loneliness and social relationships

Yayan

Dağ

Düken

2018

Perspect Psychiatr Care

View full text Add to dashboard Cite

show abstract

“…With this respect, internet addiction can be considered to be closely related to affections. Studies have put forward that internet addiction is related to depression [56][57][58][59], distress [60], happiness [42], hostility [61], irritation and anger [13], loneliness [62,63], shyness [64,65], fear [66], and bipolar disorder [58]. In addition, according to Savci and Aysan, among the attachment style (secure, dismissive, fearful, and preoccupied), peer relationships (companionship, conflict, help, security, and closeness) and positive-negative affection variables negative affection makes the most significant contribution to internet addiction [67].…”

Section: Discussionmentioning

confidence: 99%

“…YIAT-SF is a 5-point Likert type scale consisting of 12 items. The Turkish adaptation of the YIAT-SF was applied on both adolescents and university students by Kutlu et al [42]. According to the exploratory factor analysis, it was observed that the scale has a single factor for both adolescents and university students.…”

Section: Young Internet Addiction Test-short Formmentioning

confidence: 99%

See 1 more Smart Citation

Social-emotional model of internet addiction

Savcı

Aysan

2017

Psychiatry and Clinical Psychopharmacology

Self Cite

View full text Add to dashboard Cite

Objective: The purpose of this study is to test the social-emotional model of internet addiction which was built by considering theoretical explanations and study results. For this general purpose, the following hypotheses have been tested: willingness to self-censor significantly, positively, and directly affects social anxiety, self-monitoring significantly, negatively, and directly affects social anxiety, social anxiety significantly, positively, and directly affects negative affection, negative affection significantly, positively, and directly affects daily internet use duration and internet addiction, daily internet use duration significantly, positively, and directly affects internet addiction. Methods: The social-emotional model of internet addiction was applied on 330 university students. The Revised Self-Monitoring Scale, Willingness to Self-censor Scale, Social Anxiety Scale for Adolescents, Positive and Negative Affect Scale, Young Internet Addiction Test-Short Form, and Personal Information Form were used as data collection instruments. The covariance matrix and Maximum Likelihood method were conducted in testing the model. Results: As a result of the analysis suggested hypotheses were confirmed and the proposed hypothetical model showed good fit [(χ 2 = 100.435, df = 25, χ 2 /df = 4.017, RMSEA = 0.096, GFI = 0.94, AGFI = 0.90, CFI = 0.94, IFI = 0.94, TLI (NNFI) = 0.91)]. Conclusion: Willingness to self-censor and unable to self-monitoring causes social anxiety. Social anxiety increases negative affect. Negative affection causes Internet addiction through daily Internet use duration. Negative affection and the daily Internet use duration directly affect Internet addiction. ARTICLE HISTORY

show abstract

Turkish adaptation of Young's Internet Addiction Test-Short Form: a reliability and validity study on university students and adolescents

Cited by 101 publications

References 0 publications

The Role of Attachment Styles, Peer Relations, and Affections in Predicting Internet Addiction

The Role of Attachment Styles, Peer Relations, and Affections in Predicting Internet Addiction

The effects of technology use on working young loneliness and social relationships

Social-emotional model of internet addiction

Contact Info

Product

Resources

About