Study of the optimal number of rating bars in the likert scale

M. Cai, Y. Lin, W. Zhang
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引用次数: 7

Abstract

The Likert scale is often used in subjective knowledge management (e.g., assessment and decision making) in enterprise systems. The scales typically have 5, 7, or 9 number of rating bars. A controversial issue is: what would be an optimal number of rating bars (5, 7, or 9) for a particular application problem or for all problems? The study reported in this paper addressed this issue. The study particularly restricted to the number of rating bars being 5, 7, and 9 (denoted as S5, S7, S9), as they are commonly used in practice. A cell phone interface design was taken as a test-bed, and twenty participants were involved in the experiment. A new criterion to evaluate a subjective rating scale was developed first and then the experiment was carried out. The study concluded that S7 is the best among the three scales. The contribution of this paper includes: (1) confirming that different numbers of rating bars in a subjective rating scale can have significant effects on the subjective measurement or assessment and (2) providing a new criterion to evaluate a subjective rating scale.
李克特量表中最优评分条数的研究
李克特量表常用于企业系统的主观知识管理(如评价和决策)。量表通常有5、7或9个等级条。一个有争议的问题是:对于一个特定的应用程序问题或所有问题,评级条的最佳数量是多少(5、7或9)?本文报道的研究解决了这一问题。本研究特别限制了5、7和9的评级条数(记为S5、S7、S9),因为它们在实践中是常用的。以手机界面设计为实验平台,共20人参与实验。首先提出了一种评价主观评定量表的新标准,然后进行了实验。该研究得出结论,S7是三个量表中最好的。本文的贡献包括:(1)证实了主观评定量表中不同数量的评定条对主观测量或评价有显著影响;(2)为主观评定量表的评价提供了新的标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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