A Critique of Likert-Response Items in Social Science Research

B. Winston
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Abstract

This chapter critiques the use of the Likert response items for scale development. Likert response data when as nominal data and analyzed as nominal data is useful for recording and analyzing participants' attitudes about a topic. However, it is illogical for researchers who use Likert response data as interval data. The typical five or seven-item Likert response provides three response methods for each topic under study: a neutral item that is categorical, a two or three-item negatively worded ordinal scale, and a two or three-item positively worded ordinal scale. While Likert suggested scoring the five-item response with the numbers 1-5 and scoring the seven-item response with numbers 1-7, it places the neutral response in the 3rd or 4th position, which, if treating the data as interval means that 'neutral' scores higher than the Strongly Disagree-Disagree and lower than the Agree-Strongly Agree items, is not a logical outcome.
社会科学研究中李克特反应项目的批判
本章批评李克特反应项目在量表开发中的使用。当李克特反应数据作为名义数据并作为名义数据进行分析时,对于记录和分析参与者对主题的态度是有用的。然而,研究者将李克特反应数据作为区间数据是不合逻辑的。典型的五项或七项李克特反应为所研究的每个主题提供了三种反应方法:一种是分类的中性题,一种是两项或三项的消极词序数量表,一种是两项或三项的积极词序数量表。虽然李克特建议用1-5号对五项回答打分,用1-7号对七项回答打分,但它把中立的回答放在了第三或第四的位置,如果把数据当作间隔,这意味着“中立”的得分高于“强烈不同意-不同意”,低于“同意-强烈同意”,这不是一个合乎逻辑的结果。
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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