If you`ve come to this page looking for information on Likert scales, you`ll find useful articles: things you don`t know about Likert scales, and On Likert scales, measurement levels and nuanced scales. I also recommend reading this overview of Likert scales and this contribution from Stephen Westland (University of Leeds) in order to have a more nuanced understanding of the Likert scale and to have an excellent discussion on how to analyze the data that generates these scales. Thank you very much for your question. Looks like you`re doing an interesting job, but maybe the statistics are a little higher than your current skill level. I think in the current circumstances, you should forget the average. Also, as you will read in the blog post above and in many statistical manuals, calculating the average value for Likert scales is a dangerous statistical area. You can describe the distribution of responses for each question by displaying the bar diagram and a table with the absolute number and percentage for each answer option. Perhaps you would also like to remind yourself of what is the most popular answer — we call it mode. Hello [Dr] Kostoulas I did a quantitative survey, customer satisfaction survey by the office of the Registrar of St. Mary`s University there are 268 respondents with four to five as rt question skalad. Overall, I try to respond to the average satisfaction of respondents on this aspect that I prefer. How can I analyze? Clearly, the option proposed above is a statistical nonsense and not an optimal interpretation (update: I feel less strong than I`m used to doing in 2013, but I still think that`s generally wrong). I understand that the top is in the order level and should therefore only use ordinal level analysis like mode, median, etc.
The Ethics and Protocol Review Committee of the School of Allied Health Sciences, University of Ghana, approved the proposal for the study. A fact sheet entitled and the intent of the study was made available to participants and their written consent was obtained. A self-designed data collection form was used to obtain demographic data such as age, gender and academic qualifications, as well as clinical data, including the number of years of clinical experience, work environments and the number of training programs (CPDs) that have been followed over the past five years (Annex 2). The three simple film x-rays (PFRs) of lumbar lap-style, the evaluation guide of which was developed, were considered by physiotherapists in the presence of the researchers and in no particular way to avoid stereotypical interpretation. They were to list the identifiable patho-anatomical characteristics observed in the PFR. Participants were expected to complete the entire procedure by 30 minutes. At the end of the interpretation and documentation process, the researchers collected the results and evaluated each physiotherapist using the evaluation guide.