Wardenaar Klaas J, Wanders Rob B K, Jeronimus Bertus F, de Jonge Peter
Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, University Medical Center Groningen (UMCG), P.O. box 30.001, 9700RB Groningen, The Netherlands.
2Faculty of Behavioural and Social Sciences, Department of Developmental Psychology, University of Groningen, Groningen, The Netherlands.
J Psychopathol Behav Assess. 2018;40(2):318-333. doi: 10.1007/s10862-017-9626-6. Epub 2017 Sep 18.
Psychometric work on the widely used Depression Anxiety and Stress Scales (DASS) has mostly used classical psychometrics and ignored common internet-administered versions. Therefore, the present study used not only classical, but also modern psychometrics based on item response theory (IRT) to evaluate an internet-administered version of the DASS (Dutch translation). Internet-administered DASS data were collected as part of a large internet-based study in the Dutch adult population ( = 7972). Initially, external correlates (i.e. demographics other measures) and some classical psychometrics (internal consistency, convergent/divergent validity) of the DASS scales were evaluated. Next, IRT was used to investigate the scales' dimensionality, discrimination and item-functioning. Finally, the DASS depression scale was further investigated by linking it to the more clinically-oriented Quick Inventory of Depressive Symptomatology (QIDS) using item response theory (IRT). Initial classical psychometric analyses supported the scales' internal consistency (alpha = 0.94-0.98) and convergent/divergent validity. IRT analyses showed that each of the DASS scales was only suitable to measure variations in a very narrow and rather mild severity range. Linking the DASS depression scale with the QIDS also showed that the DASS depression scale discriminated best in the mild-moderate severity range, but not at higher severity levels that were covered by the QIDS. In conclusion, the scales of the internet-administered DASS show good internal consistency and validity. However, users should be aware that the scales discriminate best at mild-moderate severity ranges in the general population.
对广泛使用的抑郁焦虑压力量表(DASS)开展的心理测量工作大多采用经典心理测量方法,而忽略了常见的网络施测版本。因此,本研究不仅采用经典心理测量方法,还运用基于项目反应理论(IRT)的现代心理测量方法,对DASS的网络施测版本(荷兰语翻译版)进行评估。作为一项针对荷兰成年人群的大型网络研究(n = 7972)的一部分,收集了网络施测的DASS数据。首先,评估了DASS量表的外部关联因素(即人口统计学和其他测量指标)以及一些经典心理测量指标(内部一致性、聚合/区分效度)。接下来,运用项目反应理论研究量表的维度、区分度和项目功能。最后,通过使用项目反应理论(IRT)将DASS抑郁量表与更具临床导向性的抑郁症状快速量表(QIDS)相联系,对DASS抑郁量表进行进一步研究。初步的经典心理测量分析支持了量表的内部一致性(α = 0.94 - 0.98)以及聚合/区分效度。项目反应理论分析表明,DASS的每个量表仅适用于测量非常狭窄且相当轻微严重程度范围内的差异。将DASS抑郁量表与QIDS相联系的结果还显示,DASS抑郁量表在轻度至中度严重程度范围内的区分效果最佳,但在QIDS所涵盖的较高严重程度水平上则不然。总之,网络施测的DASS量表具有良好的内部一致性和效度。然而,使用者应注意,这些量表在一般人群的轻度至中度严重程度范围内区分效果最佳。