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Subjective Response Differences between Visual Analogue, Ordinal and Hybrid Response Scales

机译:视觉模拟量,序数量表和混合反应量表之间的主观反应差异

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The Human Factors and Ergonomics (HF/E) discipline employs different subjective response scale formats to measure subjective phenomena (e.g., hazard perception). Per the psychometrics literature, different scale formats can yield different participant responses, which is a potential threat to validity in replication studies if response scales are not consistent across study iterations. If ordinal response scales (e.g., Likert scales) yield ordinal data and continuous response scales (e.g., Visual Analogue Scales) yield continuous data then it is inappropriate to substitute one response scale for the other if they potentially yield different responses for the same question. The current research compared mean participant ratings for the same question on VAS, Likert and Hybrid response scales and found that VAS scales had significantly lower mean ratings than Likert and Hybrid response scales. Two scale features, the number of anchors (5 or 9) and the scale length (10.0cm and 19.2cm), were varied and no significant main effects or interactions resulted. In conclusion, scale types, not scale features, produced significant mean participant rating differences. To support the validity of replication research, this paper also provided a response scale taxonomy based on the scale features studied herein, that can be used to classify and report different response scales. Implications for these results and future research directions are discussed.
机译:人为因素和人体工程学(HF / E)学科采用不同的主观反应量表格式来测量主观现象(例如,危害感知)。根据心理学计量学的文献,不同的量表格式可能会产生不同的参与者反应,如果在不同的研究迭代中反应量表不一致,则可能会对复制研究的有效性造成威胁。如果顺序反应量表(例如Likert量表)产生了顺序数据,而连续反应量表(例如Visual Analogue量表)产生了连续数据,则如果一个应答量表可能对同一问题产生不同的回答,则不宜用另一种反应量表替代另一种反应量表。当前的研究在VAS,Likert和Hybrid反应量表上比较了同一问题的平均参与者评分,发现VAS量表的平均评分明显低于Likert和Hybrid反应量表。两种尺度特征,锚点的数量(5或9)和尺度长度(10.0cm和19.2cm)是变化的,没有明显的主要影响或相互作用。总之,量表类型而非量表特征产生了显着的平均参与者评分差异。为了支持复制研究的有效性,本文还基于本文研究的量表特征提供了一个反应量表分类法,可用于分类和报告不同的反应量表。讨论了这些结果的含义和未来的研究方向。

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