Hi,
I recently conducted a survey in which I utilized the 5-point Likert scale to gather data. The only problem is, I don't know how to analyze it. I feel like a complete idiot for not having considered this before. I thought it would be easy, except I don't know how to write an analysis. Can someone please help? It would be really useful if a sample was provided with an analysis of a 5-point Likert scale.
Thanks in advance!
LATER ADDITION:
I have, belatedly, attached a sample of my writing to the post. People, please comment on the appropriateness of the analysis. The attachment is in one of my posts below! Thanks!
From Pakistan, Rawalpindi
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I recently conducted a survey in which I utilized the 5-point Likert scale to gather data. The only problem is, I don't know how to analyze it. I feel like a complete idiot for not having considered this before. I thought it would be easy, except I don't know how to write an analysis. Can someone please help? It would be really useful if a sample was provided with an analysis of a 5-point Likert scale.
Thanks in advance!
LATER ADDITION:
I have, belatedly, attached a sample of my writing to the post. People, please comment on the appropriateness of the analysis. The attachment is in one of my posts below! Thanks!
From Pakistan, Rawalpindi
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Please search the web using keywords "5-point Likert Scale data analysis". You will find links that give instructions on how to analyze such data.
Have a nice day.
Simhan
A retired academic in the UK
From United Kingdom
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1639Have a nice day.
Simhan
A retired academic in the UK
From United Kingdom
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Likert scale points – it is an attempt to quantify the subjective views.
For each point, there should be a meaning for each number. For example, for 1 = most objectionable, 2 = objectionable... 5 = most desirable.
You must use these expressions in your analysis or presentation of the inferences. We may state out of 1500 persons studied (sample), 200 strongly objected to the proposal, and 20 considered the proposal most desirable.
We must remember that we are not handling any data about a problem. We are handling the number of persons who have taken a particular view. Any mathematical process of mixing this data with data on a particular problem should be designed carefully.
If you have included many questions using Likert scale, you may tabulate the views carefully to see if these are logically connected. Your presentation can have a statement like “72% of those who "Strongly Opposed" to issue A, Mildly Objected to issue B also. Or 55% of those who welcomed production-based incentive strongly objected to a change in shift timings.
There are several published charts and reports on the net – use them as a model or starting point – it is easy. I have often visited "talkstats.com" and found the site helpful.
You may also try.
Good luck.
Srinivasan
From India, Madras
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For each point, there should be a meaning for each number. For example, for 1 = most objectionable, 2 = objectionable... 5 = most desirable.
You must use these expressions in your analysis or presentation of the inferences. We may state out of 1500 persons studied (sample), 200 strongly objected to the proposal, and 20 considered the proposal most desirable.
We must remember that we are not handling any data about a problem. We are handling the number of persons who have taken a particular view. Any mathematical process of mixing this data with data on a particular problem should be designed carefully.
If you have included many questions using Likert scale, you may tabulate the views carefully to see if these are logically connected. Your presentation can have a statement like “72% of those who "Strongly Opposed" to issue A, Mildly Objected to issue B also. Or 55% of those who welcomed production-based incentive strongly objected to a change in shift timings.
There are several published charts and reports on the net – use them as a model or starting point – it is easy. I have often visited "talkstats.com" and found the site helpful.
You may also try.
Good luck.
Srinivasan
From India, Madras
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Hi there,
I have searched that, but most of the results that popped up delved into deep statistics, and that was a bit overwhelming for me.
I was hoping that you could possibly review the analysis of one of my charts and provide your valuable feedback on it since I have been unable to find a sample report relevant to my topic.
From Pakistan, Rawalpindi
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I have searched that, but most of the results that popped up delved into deep statistics, and that was a bit overwhelming for me.
I was hoping that you could possibly review the analysis of one of my charts and provide your valuable feedback on it since I have been unable to find a sample report relevant to my topic.
From Pakistan, Rawalpindi
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Here is the attachment! I am new here, so its a little confusing how to manage the posts....will hopefully cotton on soon enough! :)
From Pakistan, Rawalpindi
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From Pakistan, Rawalpindi
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Hi!
As Srinivasan has rightly said, Likert scale points are an attempt to quantify subjective views. Obviously, it's a part of statistical studies. Your PDF sample is a good showcase for the first attempt. Please do not get overwhelmed by the tests being used at this stage. But remember, there is no shortcut for success.
All the best.
From India, Mumbai
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As Srinivasan has rightly said, Likert scale points are an attempt to quantify subjective views. Obviously, it's a part of statistical studies. Your PDF sample is a good showcase for the first attempt. Please do not get overwhelmed by the tests being used at this stage. But remember, there is no shortcut for success.
All the best.
From India, Mumbai
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Dear Sajjal,
Thank you for attaching an example. However, how you analyze the data depends on your objectives, the amount and nature of data you have collected, and the level of the course. For example, if you are an undergraduate, a simple pie chart or bar chart and percentage distribution would suffice. If you are studying for a postgraduate degree, you will be expected to demonstrate your knowledge of the application of statistical tests. Similarly, if you have collected demographic data, you may be able to identify differences between males and females or responses from different work areas and levels.
Also, see the link provided to observe how a student has detailed the research's conceptual framework, etc. Though they did not use a Likert Scale, they utilized both a questionnaire survey and interviews to triangulate the findings. The project report may not be the best I have come across, but it is much better in terms of the quality of literature reviews, methodology, and the list of references.
Have a nice day.
Simhan
From United Kingdom
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Thank you for attaching an example. However, how you analyze the data depends on your objectives, the amount and nature of data you have collected, and the level of the course. For example, if you are an undergraduate, a simple pie chart or bar chart and percentage distribution would suffice. If you are studying for a postgraduate degree, you will be expected to demonstrate your knowledge of the application of statistical tests. Similarly, if you have collected demographic data, you may be able to identify differences between males and females or responses from different work areas and levels.
Also, see the link provided to observe how a student has detailed the research's conceptual framework, etc. Though they did not use a Likert Scale, they utilized both a questionnaire survey and interviews to triangulate the findings. The project report may not be the best I have come across, but it is much better in terms of the quality of literature reviews, methodology, and the list of references.
Have a nice day.
Simhan
From United Kingdom
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Hi Simhan,
Thank you for your reply! I am working towards an undergraduate degree. I am guessing the pie chart should then suffice! The sample size is 40, the subject is employee motivation, and the degree I am working for is not focused on HR.
Kindly provide some feedback regarding the content written... it would be of big help! Any recommendations would be highly welcome!
Sajjal
From Pakistan, Rawalpindi
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Thank you for your reply! I am working towards an undergraduate degree. I am guessing the pie chart should then suffice! The sample size is 40, the subject is employee motivation, and the degree I am working for is not focused on HR.
Kindly provide some feedback regarding the content written... it would be of big help! Any recommendations would be highly welcome!
Sajjal
From Pakistan, Rawalpindi
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If your intention is just passing, what you have done by way of analysis will suffice. Whether you will get a grade better than a pass will depend upon how you will write the other chapters (Introduction, literature review, methodology, conclusion, and recommendations).
From United Kingdom
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From United Kingdom
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