Analyze Likert Scale Data this way as Interval Measure in SPSS

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My master degree is going to be great because of you Sir

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Thank you for your easy to understand spss tutorials. You are an excellent tutor

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Glad you think so!

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you are a life saver. Thank you so much. please do a video on Principal Component Analysis. Thanks

[@TitocanMarkSolutions]

Will do soon

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I am glad to have you on board. Thanks for your useful comment.

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[@zewdietura3515]

Thank you for interesting lecturing, but I have been confused with computing Likert Scale Data as interval Data You give clue on this lecture. So How can I use likert scale data as regressor or independent predictor for regression analysis

[@TitocanMarkSolutions]

I will develop a video on it and publish it soon. So, subscribe to be notified when I publish it. Thank you

[@ninumathew8102]

How do i determine whether likert scale should be analysed as interval scale or ordinal scale?

[@TitocanMarkSolutions]

The type of data you have determines the choice of analysis. Once you understand the scale of measurements of your Likert dataset, then you should be able to know what to do accordingly . Or would you like me to produce a video to demonstrate what scale of measurements are? Thank you.

[@sulabhghimire250]

I need to measure prevalance of stigma with the help of the likert questions!, Ive got 12 elements in a 5 point likert scale,, , And the final interpretation will be done as low stigma Moderate stigma And high stigma What i wanted to do was sum their answers, 0 will be the smallest value while 48 will be the largest value,, These values will be divided into 3 ntiles,, 1st will be low stigma , 2nd will be moderate stigma and 3rd will be high stigma,,, Can i analyse the likert question this way?,, or do i sum the mean scores and divide the total mean scores into ntiles?

[@labjad5207]

❤

[@ShahidIqbal-xv6fo]

sir why you added 0.1 in every lower limit of disagree. neither agree strongly agree

[@TitocanMarkSolutions]

Every lower limit is the beginning of a new range. So, 0.1 added to the next lower limit distinguished it from the last upper limit. Thank you.