Turkish Adaptation of Social Media Disorder Scale in Adolescents

Savcı, Mustafa; Ercengiz, Mustafa; Aysan, Ferda

doi:10.5152/npa.2017.19285

Cited by 36 publications

(49 citation statements)

References 39 publications

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“…Criterion validity was assessed with other addiction-related scales reported in the literature. The SMD scale and other IA-related scales generally had weak negative correlations with self-esteem and moderate positive correlations with depression, loneliness and impulsiveness 30–32,50. Hence, the SMD scale was analyzed with the following well-established scales, including the 12-item General Health Questionnaire (GHQ-12),51,52 the Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS),53–55 the Satisfaction with Life Scale (SWLS),56–59 the Subjective Happiness Scale (SHS),60 the Personal Wellbeing Index (PWI),61 the Rosenberg Self-esteem Scale (RSE)62–64 and the Brief Self-Control Scale (BSCS) 65,66.…”

Section: Methodsmentioning

confidence: 99%

“…Hence, the SMD scale is more comprehensive than the existing scales and fits the context of People's Republic of China better. The 9-item SMD was validated by the scale developers with over 2000 Dutch adolescents and further validated among Turkish adolescents 31,32. The purpose of this paper is to validate and evaluate the psychometric properties of this scale in People's Republic of China.…”

Section: Aimmentioning

confidence: 99%

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<p>Cross-cultural validation of the Social Media Disorder scale</p>

Fung

2019

PRBM

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BackgroundWith the popularity of social networking sites, there is an urgency to devise instruments to evaluate social media addiction in different cultural context. This paper evaluates the psychometric properties and validation of the Social Media Disorder (SMD) scale in People's Republic of China.MethodsA total of 903 Chinese university students were recruited to participate in this cross-sectional study. The internal consistency, criterion validity and construct validity of the SMD scale were examined.ResultsThe results suggested that the 9-item SMD scale had good psychometric properties. Its internal consistency was good, with a Cronbach’s alpha of 0.753. The results showed weak and moderate correlations with other validation constructs, such as self-efficacy and other disorder symptoms suggested in the original scale. The Chinese version of SMD demonstrated a good model fit for a two-factor structure in confirmatory factor analysis, with χ2 (44.085)/26=1.700, SRMR=0.059, CFI=0.995, TLI=0.993 and RMSEA=0.028.ConclusionThe SMD scale is suitable for researchers and practitioners to measure problematic usage of social media in a different context, especially on the Chinese population.

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Section: Methodsmentioning

confidence: 99%

Section: Aimmentioning

confidence: 99%

<p>Cross-cultural validation of the Social Media Disorder scale</p>

Fung

2019

PRBM

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“…SMDS is a Likert-type measure consisting of 9 items and one dimension that was developed by van den Eijnden et al (22) and adapted to Turkish by Savci, Ercengiz and Aysan (74). As a result of the EFA, it was seen that it has a one-factor structure which accounts for 47.88% of total variance.…”

Section: Social Media Disorder Scale (Smds)mentioning

confidence: 99%

Technological Addictions and Social Connectedness: Predictor Effect of Internet Addiction, Social Media Addiction, Digital Game Addiction and Smartphone Addiction on Social Connectedness

Savcı¹,

Aysan²

2017

Dusunen Adam

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165

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Technological addictions and social connectedness: predictor effect of internet addiction, social media addiction, digital game addiction and smartphone addiction on social connectednessObjective: This study examined the predictor effects of four technological addictions, including Internet addiction, social media addiction, digital game addiction and smartphone addiction on social connectedness. Method: The study was conducted on 201 adolescents (101 girls, 100 boys) who have been using Internet, playing digital games, and using social media for at least one year, and have at least one social media account and a smartphone. The Young's Internet Addiction Test-Short Form, Social Media Disorder Scale, Digital Game Addiction Scale, Smartphone Addiction Scale-Short Version, Social Connectedness Scale, and Personal Information Form were used as data collection tools. Parametric statistical methods were used to analyze the data, taking into consideration the single and multivariable normality, linearity, and multicolinearity. Results: The analysis showed that Internet addiction, social media addiction, digital game addiction and smartphone addiction significantly predicted 25% of social connectedness. In addition, it has been determined that the strongest effect on social connectedness is from Internet addiction followed by social media addiction, digital game addiction, and smartphone addiction respectively. Conclusion: Four technological addictions including Internet addiction, social media addiction, digital game addiction and smartphone addiction significantly affect social connectedness. Keywords: Digital game addiction, internet addiction, smartphone addiction, social connectedness, social media addiction ÖZET Teknolojik bağımlılıklar ve sosyal bağlılık: İnternet bağımlılığı, sosyal medya bağımlılığı, dijital oyun bağımlılığı ve akıllı telefon bağımlılığının sosyal bağlılığı yordayıcı etkisi Amaç: Bu araştırmada internet bağımlılığı, sosyal medya bağımlılığı, dijital oyun bağımlılığı ve akıllı telefon bağımlılığı olmak üzere, dört teknolojik bağımlılığın sosyal bağlılığı yordayıcı etkisi incelenmiştir. Yöntem: Araştırma son bir yıldır internet kullanan, dijital oyun oynayan ve sosyal medya kullanan ve en az bir sosyal medya hesabı ve akıllı telefonu olan 201 (101'i kız, 100'ü erkek) ergen üzerinde gerçekleştirilmiştir. Araştırma verileri Young İnternet Bağımlılığı Testi Kısa Formu, Akıllı Telefon Bağımlılığı Ölçeği Kısa Formu, Dijital Oyun Bağımlılığı Ölçeği, Sosyal Medya Bozukluğu Ölçeği, Sosyal Bağlılık Ölçeği ve Kişisel Bilgi Formu ile toplanmıştır. Araştırma verileri tek ve çok değişkenli normallik, doğrusallık ve çoklu bağlantı problemi dikkate alınarak, parametrik istatistiki yöntemlerle çözümlenmiştir. Bulgular: Analiz sonucunda internet bağımlılığı, sosyal medya bağımlılığı, dijital oyun bağımlılığı ve akıllı telefon bağımlılığının sosyal bağlılığın %25'ini anlamlı düzeyde yordadığı görülmüştür. Ayrıca sosyal bağlılığın açıklanmasında en güçlü etkinin internet bağımlılığından geldiği ve bunu sır...

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“…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%

Social-emotional model of internet addiction

Savcı

Aysan

2017

Psychiatry and Clinical Psychopharmacology

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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

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Turkish Adaptation of Social Media Disorder Scale in Adolescents

Abstract: According to the results of EFA, CFA, criterion-related validity, reliability analysis, and item analysis of SMDS, the Turkish form of SMDS is a valid and reliable instrument.

Cited by 36 publications

References 39 publications

<p>Cross-cultural validation of the Social Media Disorder scale</p>

<p>Cross-cultural validation of the Social Media Disorder scale</p>

Technological Addictions and Social Connectedness: Predictor Effect of Internet Addiction, Social Media Addiction, Digital Game Addiction and Smartphone Addiction on Social Connectedness

Social-emotional model of internet addiction

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