The Fuzziness of Verbal Response Scales: The STAI-T Questionnaire

Franziska Bocklisch, S. Bocklisch, J. Krems
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引用次数: 4

Abstract

In this paper we used a two-step procedure for the numerical translation of verbal frequency expressions of the response scale of a questionnaire (STAI-T). In an empirical study, 70 participants estimated numerical equivalents for verbal frequency expressions, data was modeled, and fuzzy membership functions were calculated. Results show that the scale’s visual arrangement does not influence the interpretation of the words’ meanings. We argue that traditional statistics are inappropriate for the analysis of verbal response data and demonstrate the alternative of fuzzy analysis, providing an example.
言语反应量表的模糊性:STAI-T问卷
本文采用两步法对问卷反应量表(STAI-T)的词频表达进行数值翻译。在一项实证研究中,70名参与者估计了口头频率表达的数值等值,并对数据进行建模,计算模糊隶属函数。结果表明,量表的视觉排列不影响对单词含义的解释。我们认为传统的统计数据不适合分析口头反应数据,并提供了一个例子,展示了模糊分析的替代方案。
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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