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李克特的发音是“LICK-urt”,而不是“LIE-kurt”,并且这些数据是有序的,而非区间的。

Likert is Pronounced "LICK-urt" not "LIE-kurt" and the Data are Ordinal not Interval.

作者信息

Kero Patty, Lee Daniel

机构信息

Patty Kero, Department of Educational Leadership, P. J. W. College of Education and Human Sciences, University of Montana, Missoula, MT 59812, USA,

出版信息

J Appl Meas. 2016;17(4):502-509.

Abstract

Likert-type scales are popular in educational research and often times analyzed using parametric tests. Implied in this kind of study is a general assumption that these data are interval in nature. The authors contend that this is an incorrect supposition as Likert type data are actually ordinal, hence any analysis should be restricted to non-parametric investigations. Such confusion is understandable as Likert-type responses are assigned numbers signifying varying degrees of agreement with respect to behaviors or attitudes giving rise to a certain quantitative air to these data. Such responses are qualitative with meaning limited specifically to the choices available to the respondent; no more and no less. The mode is the preferable measure of central tendency instead of the mean or standard deviation. Non-parametric analysis ensures future researchers do not mistakenly infer their results are replicable beyond that of their sample. Regrettably, Likert scales simply cannot meet this standard of reliability.

摘要

李克特量表在教育研究中很受欢迎,并且常常使用参数检验进行分析。这类研究中隐含着一个普遍的假设,即这些数据本质上是区间数据。作者认为这是一个错误的假设,因为李克特类型的数据实际上是有序的,因此任何分析都应限于非参数研究。这种混淆是可以理解的,因为李克特类型的回答被赋予数字,这些数字表示对行为或态度不同程度的认同,从而使这些数据有了一定的定量特征。此类回答是定性的,其含义具体限于受访者可选择的范围;不多也不少。众数是更可取的集中趋势度量,而不是均值或标准差。非参数分析可确保未来的研究人员不会错误地推断他们的结果在样本之外具有可复制性。遗憾的是,李克特量表根本无法达到这种可靠性标准。

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