The visual analogue scale for rating, ranking, and paired comparison (VAS-RRP): A new technique for measuring traits
| 題名(外文) | The visual analogue scale for rating, ranking, and paired comparison (VAS-RRP): A new technique for measuring traits |
|---|---|
| 作者 | 吳正新 Wu, Jeng-Shin |
| 出版年月 | 2018/04 |
| 刊名(外文) | Behavior Research Methods |
| 卷 | 50 |
| 期 | 4 |
| 頁次 | 1694-1715 |
| 關鍵字(外文) | Likert-type scalePaired comparisonRankingMulti-item VASVAS-RRPCTCU model |
| 摘要(外文) | Traditionally, the visual analogue scale (VAS) has been proposed to overcome the limitations of ordinal measures from Likert-type scales. However, the function of VASs to overcome the limitations of response styles to Likert-type scales has not yet been addressed. Previous research using ranking and paired comparisons to compensate for the response styles of Likert-type scales has suffered from limitations, such as that the total score of ipsative measures is a constant that cannot be analyzed by means of many common statistical techniques. In this study we propose a new scale, called the Visual Analogue Scale for Rating, Ranking, and Paired-Comparison (VAS-RRP), which can be used to collect rating, ranking, and paired-comparison data simultaneously, while avoiding the limitations of each of these data collection methods. The characteristics, use, and analytic method of VAS-RRPs, as well as how they overcome the disadvantages of Likert-type scales, ranking, and VASs, are discussed. On the basis of analyses of simulated and empirical data, this study showed that VAS-RRPs improved reliability, response style bias, and parameter recovery. Finally, we have also designed a VAS-RRP Generator for researchers’ construction and administration of their own VAS-RRPs. |