TY - JOUR
T1 - The Visual Analogue Scale for Rating, Ranking and Paired-Comparison (VAS-RRP)
T2 - A new technique for psychological measurement
AU - Sung, Yao Ting
AU - Wu, Jeng Shin
N1 - Funding Information:
The collection of empirical data had been supported by the Ministry of Science and Technology (MOST 104-2511-S-003 -012 -MY3) and the Higher Education Sprout Project of Ministry of Education
Funding Information:
Acknowledgements The collection of empirical data had been supported by the Ministry of Science and Technology (MOST 104-2511-S-003 -012 -MY3) and the Higher Education Sprout Project of Ministry of Education Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Publisher Copyright:
© 2018, The Author(s).
PY - 2018/8/1
Y1 - 2018/8/1
N2 - 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.
AB - 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.
KW - CTCU model
KW - Likert-type scale
KW - Multi-item VAS
KW - Paired comparison
KW - Ranking
KW - VAS-RRP
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U2 - 10.3758/s13428-018-1041-8
DO - 10.3758/s13428-018-1041-8
M3 - Article
C2 - 29667082
AN - SCOPUS:85045463643
SN - 1554-351X
VL - 50
SP - 1694
EP - 1715
JO - Behavior Research Methods
JF - Behavior Research Methods
IS - 4
ER -