J Korean Neuropsychiatr Assoc.  2017 Feb;56(1):35-44. 10.4306/jknpa.2017.56.1.35.

Reliability and Validity of the Korean version of Richmond Compulsive Buying Scale

• Byeon GH
• Kim R
• Han JH
• Ko YM
• Roh S
• Lee TK

• KMID: 2379377
• DOI: http://doi.org/10.4306/jknpa.2017.56.1.35

Abstract

OBJECTIVES
The purpose of this study was to evaluate the psychometric properties of the Korean version of the Richmond Compulsive Buying Scale (RCB-K).
METHODS
Participants (n=598) included patients recruited through an online panel survey. For the semantic adaptation step, the scale was translated into Korean and then back-translated to English by one psychologist, one public health professional, one psychiatrist who could speak both Korean and English, and one professional translator, without communication between those involved. A confirmatory factor analysis was performed to test whether the factor structure of the RCB-K was consistent with the English version. Convergent validity was assessed by correlating the RCB-K scores with those of other scales (i.e., O'Guinn & Faber's Compulsive Buying Scale, Problem Gambling Inventory).
RESULTS
The factor structure of the RCB-K was consistent with the two-factor structure established for the original RCB. Cronbach's α was high (0.906), indicating that the reliabilities of the items in each subscale were satisfactory. The RCB-K score was significantly correlated with those for the O'Guinn & Faber's Compulsive Buying Scale (r=0.7) and the Problem Gambling Inventory (r=0.422).
CONCLUSION
The results of the present study indicate that the RCB-K is an effective and valid scale for evaluating the severity of compulsive buying. The findings suggest that the RCB-K is a promising assessment tool for use in the treatment and study of online compulsive buying behavior.

Keyword

Richmond Compulsive Buying Scale; Compulsive buying; Online shopping addiction; Validity

MeSH Terms

Gambling
Humans
Psychiatry
Psychology
Psychometrics
Public Health
Reproducibility of Results*
Semantics
Weights and Measures

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