Hello everyone,
My interest is scale development and psychometrics evaluation; and until now I was working based on the classical test theory. I really liked to evaluate the psychometric properties of the tools with item response theory. I would appreciate it if someone could analyze the data collected in this way as a colleague. The data is related to the field of nursing.
Thanks in advance,
Sincerely,
Reza Ghanei Gheshlagh
+98 9144050284
https://scholar.google.com/citations?user=DA1hhmIAAAAJ&hl=en
What we frequently use is the Likert scale where respondents’ attitudes to a particular question or statement are measured.
To analyze the data it is usually coded as follows.
* 1 = Strongly disagree * 2 = Disagree * 3 = Neutral * 4 = Agree * 5 = Strongly agree
This way, we can only say that one score is higher than another. However, we have this drawback that here we can not measure the distance between the points.
With Likert scale data we cannot use the mean as a measure of central tendency, i.e. what is the average of Strongly agree and disagree? The best way to display the distribution of responses i.e. (% of agree, disagree etc) is to use a bar chart.
You have enquired about analyzing data. The data analysis decision for Likert items should be made at the questionnaire development stage.
* If you have a series of individual questions that have Likert response options for your participants to answer - then analyze them as Likert-type items i.e. Modes, medians, and frequencies.
* If you have a series of Likert-type questions that collectively describe a personality trait or attitude - use means and standard deviations to describe the scale.
Hope this answers your question and this is valid for any field of survey including Nursing.
Hi Reza, What is your actual need? Do you want assistance in the evaluations of a tool? Or did you use a tool and now you want help with analyzing the outcomes on a raw data level? Or how can I understand your question better?
Cheers
Harald
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