How Do You Use The Likert Scale In Statistical Analysis?
The Likert scale is commonly used in survey research. It is often used to measure respondents’ attitudes by asking the extent to which they agree or disagree with a particular question or statement. A typical scale might be “strongly agree, agree, not sure/undecided, disagree, strongly disagree.” On the surface, survey data using the Likert scale may seem easy to analyze, but there are important issues for a data analyst to consider. Get your data ready for analysis by coding the responses. For example, let’s say you have a survey that asks respondents whether they agree or disagree with a set of positions in a political party’s platform. Each position is one survey question, and the scale uses the following responses: Strongly agree, agree, neutral, disagree, strongly disagree. In this example, we’ll code the responses accordingly: Strongly disagree = 1, disagree = 2, neutral = 3, agree = 4, strongly agree = 5. Remember to differentiate between ordinal and interval data, as the two ty