Glosario de términos estadísticos: definición Likert scale

The Likert scale is used, in a narrower sense, to detect the attitude of a respondent on a given topic. The Likert scale is named after the American psychologist Rensis Likert.

When conducting a Likert test, several statements are being phrased, on which a respondent either agrees or disagrees with the help of a scale. Likert scales usually consist of 5,7 or 11 attributes. The mean response on a scale with 7 values, 4, is representative of the answer "do not know/undecided".

The individual questions that make up a block of statements on a topic are called items.

An example:

The overall feature 'innovation' is to be tested. One of several Likert-items might look like this:

To which degree do you agree with the following statement? "I like to buy the latest tech-gadgets that have just hit the stores". The response options would be 1 = "strongly agree" to 5 = "strongly disagree".

In a broader sense, the term Likert scale is often used widely for rating scales by which respondents can express agreement or disagreement in a multi-stage interval scale

Tenga en cuenta que las entradas de nuestro glosario son explicaciones simplificadas de términos estadísticos. Nuestro objetivo es hacerlo accesible para un público amplio, así que puede que algunas definiciones no cumplan los estándares científicos.

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