How To Analyze Likert Scale Data

Likert scales are the most broadly used method for scaling responses in survey studies.

How to analyze likert scale data. In particular a likert scale or a likert type scale should only refer to a set of items 8 10 24 28 if being used appropriately i e not outside of the aggregated likert scale an individual item with a likert response format might appropriately be termed a likert item or a likert type item if it is being used individually. A typical scale might consist of the following response categories. Usually this refers to the top 2 box score in a 5 point likert scale or a 3 box score in a 7 point likert scale. Strongly agree agree undecided disagree and strongly disagree.

What is likert scale data analysis. The most common method to analyze likert scales by not just simply displaying the frequency and percentage of each point is by using the top box method. In this article let us study the features of likert scale. The data in the worksheet are five point likert scale data for two groups.

Survey questions that ask you to indicate your level of agreement from strongly agree to strongly disagree use the likert scale. Likert scale is the way of measuring and analyzing the responses in the surveys and tests. This scale is widely used in measuring the responses to the questionnaire in a research survey or aptitude test. Data from a survey using a likert scale may seem easy to analyze but there are important issues to be considered by a data analyst.