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Methodological considerations regarding response bias effect in substance use research: is correlation between the measured variables sufficient?

机译:有关物质使用研究中反应偏倚效应的方法学考虑:测得变量之间的相关性是否足够?

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Efforts for drug free sport include developing a better understanding of the behavioural determinants that underline doping with an increased interest in developing anti-doping prevention and intervention programmes. Empirical testing of both is dominated by self-report questionnaires, which is the most widely used method in psychological assessments and sociology polls. Disturbingly, the potential distorting effect of socially desirable responding (SD) is seldom considered in doping research, or dismissed based on weak correlation between some SD measure and the variables of interest. The aim of this report is to draw attention to i) the potential distorting effect of SD and ii) the limitation of using correlation analysis between a SD measure and the individual measures. Models of doping opinion as a potentially contentious issue was tested using structural equation modeling technique (SEM) with and without the SD variable, on a dataset of 278 athletes, assessing the SD effect both at the i) indicator and ii) construct levels, as well as iii) testing SD as an independent variable affecting expressed doping opinion. Participants were categorised by their SD score into high- and low SD groups. Based on low correlation coefficients (<|0.22|) observed in the overall sample, SD effect on the indicator variables could be disregarded. Regression weights between predictors and the outcome variable varied between groups with high and low SD but despite the practically non-existing relationship between SD and predictors (<|0.11|) in the low SD group, both groups showed improved model fit with SD, independently. The results of this study clearly demonstrate the presence of SD effect and the inadequacy of the commonly used pairwise correlation to assess social desirability at model level. In the absence of direct observation of the target behaviour (i.e. doping use), evaluation of the effectiveness of future anti-doping campaign, along with empirical testing of refined doping behavioural models, will likely to continue to rely on self-reported information. Over and above controlling the effect of socially desirable responding in research that makes inferences based on self-reported information on social cognitive and behavioural measures, it is recommended that SD effect is appropriately assessed during data analysis.
机译:开展无毒品运动的工作包括对行为决定因素加深了解,这些行为决定因素突出了兴奋剂,并且对制定反兴奋剂预防和干预计划的兴趣日益浓厚。自我报告调查表对这两者进行了实证检验,这是心理评估和社会学民意测验中使用最广泛的方法。令人不安的是,在兴奋剂研究中很少考虑社会期望的反应(SD)的潜在失真效应,或者基于某些SD度量与目标变量之间的弱相关性而将其消除。本报告的目的是提请注意i)SD的潜在失真效应,以及ii)SD措施与单个措施之间使用相关分析的局限性。使用结构方程建模技术(SEM)在有和没有SD变量的情况下,在278名运动员的数据集上测试了兴奋剂意见作为潜在争议性问题的模型,并在i)指标和ii)构建水平上评估了SD效果,如下iii)将SD作为影响表达的兴奋剂意见的自变量进行测试。根据SD分数将参与者分为高SD组和低SD组。基于在整个样本中观察到的低相关系数(<| 0.22 |),可以忽略SD对指标变量的影响。 SD高和低的组之间,预测变量和结果变量之间的回归权重各不相同,尽管低SD组中SD与预测变量之间实际上不存在关系(<| 0.11 |),但两组均显示独立于SD改善了模型拟合。这项研究的结果清楚地证明了SD效应的存在以及常用的成对相关性不足以评估模型级别的社会需求。在没有直接观察到目标行为(即使用兴奋剂)的情况下,对未来反兴奋剂运动有效性的评估以及对精致的兴奋剂行为模型的实证测试可能会继续依靠自我报告的信息。除了要根据对社会认知和行为措施的自我报告信息做出推断的研究来控制社会期望响应的效果外,建议在数据分析过程中适当评估SD效果。

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