Reliability values ranging from 0.70 to 0.95 are good.

Thank you very much. Best wishes

Glad it was helpful!

Thanks for appreciating the tutorial. Best wishes

Thank was well explained in the video. You may re-watch the video more carefully

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Many thanks

Thanks, but you may rephrase your statement so I can understand you

Send me an email: [email protected]

kzfaq.info/get/bejne/sNaefdCEu9zLenU.html This video will help you to sort this out. Also, you can remove missing information before you analyze your preferred statistical analysis.

Glad to help sir. Thank you so much. Pls, share and like the tutorial

Great to hear! Thanks for watching the video

Thanks for watching the tutorial and finding it helpful. You may also watch this just in case you want to conduct some sets of parametric tests: kzfaq.info/get/bejne/oauFmZNksa7NiH0.html kzfaq.info/get/bejne/la2SfKWlzJvdd2Q.html

It will be nice to report the processes that led to your findings.

Thank you very much for finding the video helpful.

Thank you very much for finding the video helpful. Best wishes

Is the music too loud?

Multiple Linear Regression or Hierarchical Regression analysis can help you achieve the goal. kzfaq.info/get/bejne/n9xyh5l9tNSuo40.html

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@@Dr.Okolie sure I will share to my students as well.plz make a video on how to do statistical analysis using AI

@@Questtoknowwithdraftab Ok. I will do that. Thanks for requesting the video

Glad I could help! Please, share and like the tutorial

Thank you for finding the video helpful. Please, share and like. Best wishes

Glad you found it helpful. You may also find this kzfaq.info/get/bejne/bcmkl6d02amtaZs.html helpful

Maybe you can rephrase this statement so that I can understand you clearly.

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Thanks for finding this video helpful, please, share and like the video

Thank you for watching the video

Welcome! Thanks for watching

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Thank you very much

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If more people choose strongly agree, it describes how much they perceived or viewed the statement you presented to them (in this case, strongly). You cannot use descriptive statistics to make decisions. It is only used for describing situations or how your respondents view certain issues. If you want to establish cause and effect, you conduct inferential statistics like regression, ANOVA, etc.

If the aim is to test a relationship, then, you do not need descriptive statistics, rather you need to conduct inferential statistics like regression analysis. This video may help kzfaq.info/get/bejne/oauFmZNksa7NiH0.html

If you just want to learn about their perceptions or views of your respondents, then, descriptive statistics can just do the work. Descriptive statistics can also include the use of percentages or histogram, etc to show views

@@Dr.Okolie oh my! Thank you so very much sir. I am sorry for my late response. Thank you very much sir. I will study the video you recommended sir.

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Thank you very much

You're welcome

Glad it was useful

Thank you for watching the video. However, you may rephrase your question more clearly so I can response more accurately

Thank you.

Always welcome! Please, like and share.

Great! Thank you for finding the video helpful.

I don't know really, but you can code the data manually by copying and pasting rather than importing it. Maybe, the error may be resolved using that approach.

@@Dr.Okolie i've tried that as well but the problem isn't resolved. it's still showing 0s

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RSquare and adjusted RSquare are metrics used to assess how well the independent variable (often referred to as the factor in ANOVA) explains the variability observed in the dependent variable (usually the outcome or response variable). In the case of the video, RSquare =0.331 means that approximately 33.1% of the variance in the dependent variable is explained by the independent variable (factor) considered in your one-way ANOVA. Secondly, Adjusted RSquare = 0.308 indicates the adjusted proportion of variance explained by the independent variable, which is slightly lower than the unadjusted RSquare due to the adjustment for the model's complexity and sample size. Hope these explanations help.

​​@@Dr.Okoliethank you too much and send your E_mail I'd please..

@@jameelbhat6200 [email protected]

@@Dr.Okolie How do we measure Adjusted R square with the help of formula

Thank you very much. You may also find this video helpful too kzfaq.info/get/bejne/odJiZq2h1J6npmQ.html

Glad you liked it!