Menteş Nurettin, Yolbaş İlyas, Bulut Mahmut
Department of Economics, aculty of Economics and Administrative Sciences, Dicle University, Turkey.
Department of Pediatrics, ublic Health, Dicle University School of Medicine, Diyarbakır,Turkey.
Psychiatry Clin Psychopharmacol. 2021 Sep 1;31(3):310-318. doi: 10.5152/pcp.2021.21094. eCollection 2021 Sep.
Cryptocurrency trading is similar to problematic gambling behavior, with its high-risk factors and its methods of use. In this sense, it can become addictive. The aim of this study is to develop a valid and reliable scale to measure Problematic Cryptocurrency Trading among individuals who trade cryptocurrency.
First, the theoretical framework of the study was discussed to lay a basis for the motives of this study. Then, with the help of the DSM-5 diagnostic criteria and internet addiction scales, a 16-item scale was designed. The study was carried out on 2 different sample groups. The results were reported under the titles Study 1 and Study 2. The sample size of Study 1 was 1314. The data were collected through TrueFeedBack BlackStar, a survey platform that provides survey participation by awarding its participants with cryptocurrency. For this data set, item analyses, the -test, reliability analysis, and the explanatory factor analysis were performed for 27% of the lower and upper groups. The Kaiser-Meyer-Olkin (KMO) test and Bartlett's test of sphericity to determine the suitability for the factor analysis, the principal component analysis for factorization, and the promax method for factor rotations were used. The SPSS Statistics 22 software package was used for the analyses. The sample size of Study 2 was 353. The data were collected from people known to be trading cryptocurrencies. The confirmatory factor analysis was performed for the model, the factor structure of which was determined in Study 1. For the goodness of fit of the model, root mean square error of approximation (RMSEA), incremental fit index (IFI), goodness of fit index (GFI), and chi-Square Test ( ) goodness of fit criteria were used. The Amos 23 software package was used for the data analysis.
As a result of the exploratory factor analysis, a two-factor structure was obtained. For the total scores of the scale, Cronbach's alpha reliability value was found to be 0.913, and for the sub-factors, Cronbach's alpha values were found to be 0.897 and 0.866. The factor loadings of items varied between 0.786 and 0.597 for the first sub-factor and between 0.869 and 0.683 for the second sub-factor. The confirmatory factor analysis confirmed the two-factor structure of the scale, and the goodness of fit criteria were found to be at acceptable levels.
It was determined that the Problematic Cryptocurrency Trading Scale is a valid and reliable scale.
加密货币交易因其高风险因素及其使用方式，类似于有问题的赌博行为。从这个意义上说，它可能会使人上瘾。本研究的目的是开发一种有效且可靠的量表，以测量加密货币交易者中存在问题的加密货币交易情况。
首先，讨论了研究的理论框架，为该研究的动机奠定基础。然后，借助《精神疾病诊断与统计手册》第五版（DSM - 5）的诊断标准和网络成瘾量表，设计了一个包含16个条目的量表。该研究在2个不同的样本组上进行。结果分别在“研究1”和“研究2”的标题下进行报告。研究1的样本量为1314。数据通过TrueFeedBack BlackStar收集，这是一个通过奖励参与者加密货币来促使其参与调查的平台。对于该数据集，对上下分组中27%的数据进行了项目分析、t检验、信度分析和解释性因素分析。使用Kaiser - Meyer - Olkin（KMO）检验和Bartlett球形检验来确定是否适合进行因素分析，使用主成分分析进行因子分解，并使用斜交旋转法（promax方法）进行因子旋转。分析使用SPSS Statistics 22软件包。研究2的样本量为353。数据收集自已知进行加密货币交易的人群。对在研究1中确定了因子结构的模型进行验证性因素分析。对于模型的拟合优度，使用近似均方根误差（RMSEA）、增值拟合指数（IFI）、拟合优度指数（GFI）和卡方检验（ ）的拟合优度标准。数据分析使用Amos 23软件包。
探索性因素分析的结果是得到了一个双因素结构。对于该量表的总分，Cronbach's alpha信度值为0.913，对于子因素，Cronbach's alpha值分别为0.897和0.866。第一个子因素的项目因子载荷在0.786至0.597之间，第二个子因素的项目因子载荷在0.869至0.683之间。验证性因素分析证实了该量表的双因素结构，且拟合优度标准处于可接受水平。
确定存在问题的加密货币交易量表是一种有效且可靠的量表。
