在问题博严重程度指数 (PGSI) 中,分离行为和不利后果:确认因素分析和Rasch分析
Alysha Cooper1, Harvey H C Marmurek2
1Department of Mathematics and Statistics, University of Guelph, Guelph, Canada.
Journal of gambling studies
|August 6, 2023
概括
问题博严重性指数 (PGSI) 对两因素结构的支持比对一个因素模型的支持更强. 然而,建议在评估问题博严重程度时一般使用单因素模型.
科学领域:
- 心理评估 心理评估
- 行为科学是一种行为科学.
- 成研究研究成研究
背景情况:
- 问题博严重程度指数 (PGSI) 是衡量问题博的广泛使用的工具.
- 该PGSI由九个项目组成,可以将其概念化为两个子域:问题行为和不良后果.
研究的目的:
- 为了比较支持PGSI的单因素结构与双因素结构的证据.
- 调查将两个子域合并为一个单一的因素是否会导致信息丢失.
主要方法:
- 使用确认因素分析和拉什分析对1251名投注者的样本进行了分析.
- 使用随机搜索变量选择来评估组合子域的影响.
主要成果:
- 该研究发现,与单一因素结构相比,支持PGSI的双因素结构的证据更强.
- 这两个因素 (有问题的行为和不良后果) 高度相关.
- 大多数预测因素在两个因素之间共享,只有一个例外.
结论:
- 双因素结构提供了对问题博的更细致的理解,区分行为和后果.
- 对于一般的临床和研究用途,建议使用PGSI的单因素结构,除非需要对行为和后果之间的关系进行具体调查.
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