Search results
Results from the WOW.Com Content Network
Likert scale data can, in principle, be used as a basis for obtaining interval level estimates on a continuum by applying the polytomous Rasch model, when data can be obtained that fit this model. In addition, the polytomous Rasch model permits testing of the hypothesis that the statements reflect increasing levels of an attitude or trait, as ...
Scaled questions – Responses are graded on a continuum (e.g.: rate the appearance of the product on a scale from 1 to 10, with 10 being the most preferred appearance). Examples of types of scales include the Likert scale, semantic differential scale, and rank-order scale. (See scale for further information)
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.
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.
One very frequently-used rating scale is a Likert scale. Usually, for clarity and efficiency, a single set of anchors is presented for multiple rating scales in a questionnaire. Collectively, a statement or question with an accompanying rating scale is referred to as an item.
However, there is a tendency with Likert scales for people to respond towards the middle of the scale, perhaps to make them look less extreme. As with any questionnaire, participants may provide the answers that they feel they should. Moreover, because the data is quantitative, it does not provide in-depth replies.
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 ...
[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 ...