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The value assigned to a Likert item has no objective numerical basis, either in terms of measure theory or scale (from which a distance metric can be determined). The value assigned to each Likert item is simply determined by the researcher designing the survey, who makes the decision based on a desired level of detail.
A rating scale is a set of categories designed to obtain information about a quantitative or a qualitative attribute. In the social sciences, particularly psychology, common examples are the Likert response scale and 0-10 rating scales, where a person selects the number that reflecting the perceived quality of a product.
It was developed in 1983 by Linehan et al. and contains 48 items answered on a Likert scale from 1 to 6. The measure is divided into six subscales: survival and coping beliefs, responsibility to family, child concerns, fear of suicide, fear of social disproval, and moral objections. Scores are reported as an average for the total and each sub ...
Likert scale – Respondents are asked to indicate the amount of agreement or disagreement (from strongly agree to strongly disagree) on a five- to nine-point response scale (not to be confused with a Likert scale). The same format is used for multiple questions. It is the combination of these questions that forms the Likert scale.
The Likert scale is used in conducting surveys, with applications to business-related areas such as marketing or customer satisfaction, the social sciences, and attitude-related research projects. A Likert scale consists of the sum or average of scores from responses to a group of survey questions.
[7] [8] These responses can be scored using the Likert or GHQ scale. [8] Using the Likert scale the response choices are given the values 0, 1, 2, and 3 respectively. [7] [8] When a participant completes the questionnaire the values of their responses are then summed to give a final score between 0 and 180. Using the GHQ scale, the response ...
Unlike mathematics or physics questions, the selection of items, scenarios, and options to assess psychometric g were guided roughly by a theory that emphasized complex judgment, but the explicit keys were unknown until the assessments had been made: they were determined by the average of everyone's responses, using deviation scores ...
Ordinal data is a categorical, statistical data type where the variables have natural, ordered categories and the distances between the categories are not known. [1]: 2 These data exist on an ordinal scale, one of four levels of measurement described by S. S. Stevens in 1946.