This involves, for example, finding the central tendency (what most respondents believe) and the spread / dispersion of the responses (how strongly respondents agree with each other).īecause Likert scales produce what are called ordinal data, I suggest that you calculate the median and Inter-Quartile Range (IQR) of each item. If you want to find out what respondents believe about a topic, you need to do descriptive statistics. There are two types of statistical analysis, descriptive and inferential statistics. The number of respondents who ‘strongly disagree’ are 2, those who ‘disagree’ are 9, those who ‘are undecided’ are 24, those who ‘agree’ are 18 and those who ‘strongly agree’ are 7. How do I interpret this data? Our questionnaire is composed of items with a 5 point scale, ranging from “1=strongly disagree” to “5=strongly agree”. For example, we are trying to find out if the respondents agree with. The following (slightly modified) question was posted as a comment here, but I felt that the answer was too lengthy for the comments section. Many of the answers you need can be found in this post, and this set of slides, but I’m also happy to answer other questions, such as the one below. Every now and then I tend to get questions about statistics from readers of this blog - this is due to a somewhat ill-deserved reputation Google seems to have bestowed on me as an ‘expert’ in Likert scale measurement.