How to identify missing data in Likert Scale Questionnaire using SPSS

In this tutorial, you will understand how you can identify missing data in SPSS dataset to enable you conduct higher regression analysis.

[@dengmarialanyieth1185]

Thanks so much for this incredible presentation. Your tutorial coaching is unshakable please.

[@Dr.Okolie]

Thank you so much

[@dengmarialanyieth1185]

@@Dr.Okolie
How will i get in touch with you Dr. Okolie, because i have data set here and i want you take me through.
if you want to send it to you then i will send out you

[@autaj]

Thank you very much, Dr for such a great tutorial, my question is this: suppose you check the original questionnaire in order to handle the missing Values, but there was nothing there, is there not a way that we can actually fill in the missing Values with probably the mean or the mode in that very column just like we in Python, or is it not good to do so using SPSS?

[@yosefe1982]

Hi, when I try to run regression analysis am getting the following message: There are no valid cases for models with dependent variable Empmotiv. Statistics cannot be computed. please advise what I can do to resolve this

[@Dr.Okolie]

Pls, check that your data met the assumptions of regression. For example, check for outliers, normality and multicolinearity.

[@leorione]

Thank you for the tutorial! I am using a scale for something, I got my data, but how do I know how to use the scale? Are all scales the same or does it depend on SEM?

[@Dr.Okolie]

Thank you. You can actually use the same Likert Scale data to conduct a SEM analysis. Compute them into a continuous variables and then, go ahead to conduct SEM analysis. You can check out some of my tutorials on SEM analysis ruclips.net/video/dqocaddLiGs/видео.html

[@akanoayubadamilola]

This is very lucid

[@Dr.Okolie]

Thank you for watching the video. Pls, share and like the video

[@yosefe1982]

the regression analysis is giving me empty results

[@Dr.Okolie]

I feel you need to check your dataset again.