Mian Maha N, Altman Brianna R, Luba Rachel, Ueno Luna F, Dalal Dev, Earleywine Mitch
Department of Psychology, University at Albany, State University of New York, USA.
Department of Psychology, University at Albany, State University of New York, USA.
Addict Behav. 2021 Jun;117:106852. doi: 10.1016/j.addbeh.2021.106852. Epub 2021 Feb 4.
The Protective Behavioral Strategies for Marijuana Scale (PBSM), a 17-item scale targeting strategies for mitigating the negative consequences of cannabis use, highlights a range of behaviors that can reduce harm beyond straightforward decreases in quantity or frequency. The 17-item scale's factor structure remains under-examined but could reveal meaningful distinctions among strategies. This study aimed to confirm the factor structure of the short form of the PBSM.
This study recruited cannabis-using undergraduates (N = 454,M = 19.6, 68.8% female, 39% White), who reported using cannabis approximately 2.3 days per week with mild cannabis-related consequences (CAPQ; M = 9.74).
A confirmatory factor analysis demonstrated poor fit for the one-factor model of the PBSM, prompting an exploratory factor analysis. Analyses revealed two internally reliable factors: a "Quantity" factor, strategies specific to mitigating overuse and limiting amounts consumed and an "Context" factor loosely related to troubles with others. This two-factor model accounted for over half of the total variance; invariance testing indicated reduced fit as models became more restrictive. Though each of the factors covaried negatively with both days of use and problems, Context had a stronger relation to both variables compared to Quantity. Only Context predicted fewer cannabis problems and use.
The two-factor solution suggests further work on the psychometric properties of the scale could provide heuristic information to allow for more nuanced approaches in clinical and research settings. Theoretically, each factor might have novel links to some constructs but not others in ways that could assist harm-reduction strategies and treatment.
大麻保护性行为策略量表(PBSM)是一个包含17个条目的量表,旨在测量减轻大麻使用负面影响的策略,它强调了一系列行为,这些行为除了直接减少使用量或频率外,还能降低危害。这个17个条目量表的因子结构仍未得到充分研究,但可能揭示不同策略之间的有意义区别。本研究旨在确认PBSM简版的因子结构。
本研究招募了使用大麻的本科生(N = 454,平均年龄M = 19.6岁,68.8%为女性,39%为白人),他们报告每周使用大麻约2.3天,大麻相关后果较轻(大麻问题问卷;M = 9.74)。
验证性因子分析表明PBSM单因素模型拟合不佳,因此进行探索性因子分析。分析揭示了两个内部可靠的因子:一个“数量”因子,即减轻过度使用和限制摄入量的特定策略,以及一个与他人冲突松散相关的“情境”因子。这个双因素模型解释了总方差超过一半的变异;不变性检验表明,随着模型变得更加严格,拟合度降低。尽管每个因子与使用天数和问题均呈负相关,但与“数量”因子相比,“情境”因子与这两个变量的关系更强。只有“情境”因子能预测较少的大麻问题和使用量。
双因素解决方案表明,对该量表心理测量特性的进一步研究可以提供启发式信息,以便在临床和研究环境中采用更细致入微的方法。从理论上讲,每个因子可能与某些构念有新颖的联系,但与其他构念没有,这些联系可能有助于减少危害的策略和治疗。