Development of the Cryptocurrency Addiction Scale: A Methodological Study.
| Autor: | Umit Senocak, Suleyman, Totan, Tarik, Demirkiran, Fatma |
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| Předmět: |
CROSS-sectional method
MULTITRAIT multimethod techniques PEARSON correlation (Statistics) STATISTICAL correlation INTERNET addiction SCALE analysis (Psychology) COMPULSIVE behavior BEHAVIOR modification RESEARCH evaluation CONFLICT (Psychology) QUESTIONNAIRES DESCRIPTIVE statistics GAMBLING LONELINESS EXPERIMENTAL design RESEARCH methodology RESEARCH STATISTICAL reliability PSYCHOMETRICS FACTOR analysis DISEASE relapse DATA analysis software |
| Zdroj: | International Journal of Caring Sciences; Jan-Apr2024, Vol. 17 Issue 1, p492-506, 15p |
| Abstrakt: | Background: Cryptocurrency addiction is a new type of behavioral addiction that should be urgently addressed by professionals within the public mental health context. Therefore, a psychometrically sound measurement tool is urgently needed. Objectives: This study aimed to develop a 'cryptocurrency addiction scale'. Design: A descriptive, cross-sectional, and methodological design. Setting: Turkey. Participants: A total of 279 Turkish people participated in the first stage and 289 people participated in the second stage of the study. Methods: Exploratory and confirmatory factor analyses were used to test construct validity. To test criterion-related validity, Pearson's correlation coefficients between the Cryptocurrency Addiction Scale and the Generalized Problematic Internet Use Scale 2, De Jong Gierveld Loneliness Scale, and Epworth Sleepiness Scale were investigated. Internal reliability was assessed using Cronbach's a and McDonald's ra. Test-retest reliability was tested using Pearson's correlation between these two measures. Results: Exploratory factor analysis resulted in the extraction of six factors (conflict, tolerance, relapse, withdrawal, mood modification, and salience), which explained 63.41% of the total variance. The first-and second-order confirmatory factor analysis models showed good model fit. Participants' scores on the Cryptocurrency Addiction Scale showed significant positive correlations with problematic Internet use, loneliness, and sleepiness scores. Cronbach's a and McDonald's ra reliability coefficients of the scale were 0.93. A significant positive correlation was found between the test and retest scores of the scale. Conclusion: The Cryptocurrency Addiction Scale showed good construct validity, criterion-related validity, internal reliability, and test-retest reliability. Validity and reliability studies of the Cryptocurrency Addiction Scale in other languages are recommended. [ABSTRACT FROM AUTHOR] |
| Databáze: | Complementary Index |
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