Department of Psychology, Faculty of Arts and Sciences, Near East University, Lefkoşa-Kibris 10, Mersin, Turkey.
Department of Mathematics, Faculty of Arts and Sciences, Near East University, Nicosia, Cyprus.
J Gambl Stud. 2022 Sep;38(3):1045-1058. doi: 10.1007/s10899-021-10087-2. Epub 2021 Nov 20.
Although near-miss is an important tendency indicator for gambling addiction, no scale has been developed to evaluate these feelings. In this study, the aim is to develop a Near Miss Scale (NMS) to assess the tendency of gambling. In the first step, a 38-item measurement tool was prepared by the first author, which was examined by 8 experts. According to their comments and opinions, a 32-item 5-point Likert-type pre-form was created. The study was conducted with 600 gamblers in Northern Cyprus between December 2018-March 2019 and data from 563 of them were included in the statistical analysis. In the questionnaire, Socio-demographic form, Gambling Craving Scale (GCS), South Oaks Gambling Screening Test (SOGST) and NMS were used. With the SPSS 23 and R Studio statistical programs, after calculating the item-total correlations of the items in the NMS form, items with low item total-correlation values were excluded from the scale and 30 items were analysed statistically. In the study, it was seen that the factor loads of the relevant items in NMS were between .715 and .896. Confirmatory factor analysis (CFA) showed that a single factor model in the scale was valid. NMS had a positive correlation with SOGST (r = 0.601) and GCS (r = 0.752). The 2-week test-retest results of NMS with a Cronbach alpha of 0.981 were determined as 0.972. The validity and reliability results suggest that NMS is a valid and reliable as 30-item, one-dimensional measurement tool for assessing gambling tendency among gamblers.
虽然近失是赌博成瘾的一个重要趋势指标,但目前还没有开发出评估这些感觉的量表。本研究旨在开发一种近失量表(NMS)来评估赌博倾向。在第一步中,由第一作者编制了一个 38 项的测量工具,由 8 名专家进行了检查。根据他们的意见和建议,创建了一个 32 项 5 级李克特式预表格。该研究于 2018 年 12 月至 2019 年 3 月在北塞浦路斯的 600 名赌徒中进行,其中 563 人的数据纳入了统计分析。在问卷中,使用了社会人口统计学表格、赌博渴望量表(GCS)、南奥克斯赌博筛查测试(SOGST)和 NMS。使用 SPSS 23 和 R Studio 统计程序,在计算 NMS 表格中项目的项目总分相关后,从量表中排除了项目总分相关值较低的项目,并对 30 个项目进行了统计分析。在研究中,发现 NMS 中相关项目的因子负荷在.715 和.896 之间。验证性因素分析(CFA)表明,量表中的单因素模型是有效的。NMS 与 SOGST(r=0.601)和 GCS(r=0.752)呈正相关。NMS 的 2 周重测信度 Cronbach alpha 为 0.981,为 0.972。这些有效性和可靠性结果表明,NMS 是一种有效的、可靠的 30 项、一维测量工具,用于评估赌徒的赌博倾向。