Contents
How do I report Likert data?
The traditional way to report on a Likert scale is to sum the values of each selected option and create a score for each respondent. This score is then used to represent a specific trait — satisfied or dissatisfied, for example — particularly when used for sociological or psychological research.
How do you collect data from a Likert scale?
To collect data, you present participants with Likert-type questions or statements and a continuum of possible responses, usually with 5 or 7 items. Each item is given a numerical score so that the data can be analyzed quantitatively.
How to combine Likert and Likert scale data?
For example, one could have several Likert items with various questions about religious attitudes or behaviors, and then combine those items to a single Likert scale on religiosity. When presenting methods and results, it is important to be clear if data were handled as Likert item data or Likert scale data.
What are the options for the Likert question?
Other options for Likert responses include faces (smiley face, neutral face, frowny face), and a line on which respondents mark their response. Questions may also include opt-out responses, like “Don’t know” or “Not applicable”. These are included outside the Likert responses.
Are there any false positives on the Likert scale?
The 2-sample t-test and Mann-Whitney test produce nearly equal false positive rates for Likert scale data. Further, the error rates for both analyses are close to the significance level target. Excessive false positives are not a concern for either hypothesis test.
Are there decimal points in the Likert data?
Likert data are not continuous; that is, there typically aren’t any decimal points in Likert responses. Also, the responses in Likert data are constrained at their ends; that is, on a five-point scale, the responses cannot be below 1 or above 5. Where it is useful, this book will treat Likert data as nominal data for certain types of summaries.