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Responses to several Likert questions may be summed providing that all questions use the same Likert scale and that the scale is a defensible approximation to an interval scale, in which case the central limit theorem allows treatment of the data as interval data measuring a latent variable.
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.
The item-total correlation approach is a way of identifying a group of questions whose responses can be combined into a single measure or scale. This is a simple approach that works by ensuring that, when considered across a whole population, responses to the questions in the group tend to vary together and, in particular, that responses to no individual question are poorly related to an ...
The Defining Issues Test is a proprietary self-report measure [4] which uses a Likert-type scale to give quantitative ratings and rankings to issues surrounding five different moral dilemmas, or stories. Specifically, respondents rate 12 issues in terms of their importance to the corresponding dilemma and then rank the four most important issues.
PTSD Symptom Scale – Self-Report Version (PSS-SR) is a 17-item self-reported questionnaire to assess symptoms of posttraumatic stress disorder. [1] Each of the 17 items describe PTSD symptoms which respondents rate in terms of their frequency or severity using a Likert-type scale ranging from 0 (not at all or only one time) to 3 (almost always or five or more times per week).
The usual measures of willingness to recommend involve a survey with a set of statements using a Likert Technique or scale. The customer is asked to indicate how willing they are to make a recommendation (of a brand, service, etc.) to others. Their willingness is generally measured on a five-point scale.
Another class of models apply to polytomous outcomes, where each response has a different score value. [7] [8] A common example of this is Likert-type items, e.g., "Rate on a scale of 1 to 5." Another example is partial-credit scoring, to which models like the Polytomous Rasch model may be applied.
The first threshold of item i, , is the location on the continuum at which a person is equally likely to obtain a score of 0 or 1, the second threshold is the location at which a person is equally likely to obtain a score of 1 and 2, and so on. In the example shown in Figure 1, the threshold locations are −1.5, −0.5, 0.5, and 1.5 respectively.