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Development of the Cryptocurrency Addiction Scale: A Methodological Study.

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 ad...

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Published in:International Journal of Caring Sciences Vol. 17; no. 1; pp. 492 - 507
Main Authors: Umit Senocak, Suleyman, Totan, Tarik, Demirkiran, Fatma
Format: research tables/charts Journal Article
Published: International Journal of Caring Sciences Jan-Apr2024
Online Access:View this record in EBSCOhost
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      dt: Jan-Apr2024
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      pub: International Journal of Caring Sciences
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        atl: Development of the Cryptocurrency Addiction Scale: A Methodological Study.
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        au:
          Umit Senocak, Suleyman
          Totan, Tarik
          Demirkiran, Fatma
        affil: Assistant Professor, Department of Psychiatric and Mental Health Nursing, Faculty of Nursing, University of Aydin Adnan Menderes, Aydin Province, Turkey
      sug:
        subj:
          Behavior, Addictive Evaluation
          Scales Evaluation
          Human
          Instrument Construction
          Methodological Research
          Descriptive Research
          Cross Sectional Studies
          Turkiye
          Factor Analysis
          Construct Validity
          Criterion-Related Validity
          Pearson's Correlation Coefficient
          Internal Consistency
          Test-Retest Reliability
          Correlational Studies
          Conflict (Psychology)
          Recurrence
          Behavior Modification
          Descriptive Statistics
          Gambling
          Internet Addiction
          Loneliness
          Psychometrics
          Male
          Female
          Adult
          Middle Age
          Summated Rating Scaling
          Questionnaires
          Data Analysis Software
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Male
          Female
      ab: 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.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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