How can I quantitatively analyze data collected through 5-point Likert scale which ranges from Always (5), often (4), sometimes (3), rarely (2), to never (1)?
A Likert scale is a set of statements with answer choices range from Strongly Agree to Strongly Disagree so the survey maker can get a holistic view of people’s opinions. All Likert scales also include a mid-point e.g neither agree nor disagree, for those who are neutral on the subject matter.
Are you sure that your scale is Likert scale?
Depends what your research questions are, what your sample (and sampling) are like, and what variables you have.
These are non parametric scales, you may use non parametric tests
Dear Mr. Abate,
Your data can easily be coded and analyzed in SPSS. It is not about the coding, what you would like to measure is important?
The type of test or analysis depends on your research objective and hypothesis to be tested.
are you talking about cross-sectional data or longitudinal?
what is your design - a prevalence study or correlation one?
Do you wanna see - influence, outcomes of the intervention, or comparison of groups?
Many things are unclear in your question.
Good luck.
with best regards,
Yubaraj
You should always use rank-based statistical metods for all types of ordered categorical data. (Svensson E. Guidelines to statistical evaluation of data from rating scales and questionnaires. J of Rehabilitation Medicine 2001;33(1):47-48.
I am an expert in statistical methods for ordered categorical data. There are appropriate methods for both cross-sectional and paired data. I have developed methods for paired data - and there are calculation programme as well - look or ask for references!
The Somatic Symptoms Scale (SSS-8) has also a similar response - severity based rating. The analysis process goes through adding all responses and finding a total of the severity of the problem.
Please see this article to understand more:
The 5 severity categories derived from our data were based on the empirical distribution of the SSS-8 sum score. The high and very high symptom burden categories lay in the upper 5% of the severity distribution (ie, ≥95th percentile), which is common in clinical practice. By determining 5 severity categories (no to minimal, low, medium, high, and very high), we follow the taxonomy of frequently used self-report measures, for example, the PHQ-9 depression scale.
https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/1783305
I hope, this will support to resolve your problem.
- Badges
- Science topic