Many thanks. Why not consider buying our latest book on "Applied Statistics and Research Techniques: A Practical Guide for Data Analysis" that contains much more. See picture on my profile picture
Thank you for such a detailed explanation, really helped me understand. I have the following question which will help me a lot with my thesis: how do I motivate the use of linear regression, given that the final variables introduced are still categorical of some sort? they are not continuous for sure. I do want to use linear regression, where my data is normally distributed, but how can I prove that I can do this? Thanks a lot, would appreciate your response.
Sir, will you please make a video with the following info: 1. Dependent Variable has 5 indicators, each indicator consist of 5 question 2. Independent Variable has 2 indicators, each indicator consist of 5 question and what test should be use. Thank you
The raw variables are in likert scale from SD to SA which is coded from 1-5. What do the mean values you calculated represent? SD? D? or what? Can you explain that to me? Your video will be very useful to me if you can explain this. Thanks
Sir what to statistical test do we use if our data is the following: 1.) not normally distributed 2.) ordinal (likert scale) 3.) 4 independent variables, no dependent variable (descriptive research)
Watch this video on how to Choose Appropriate Statistical Technique for Data Analysis: ruclips.net/video/jPNc9SGrQcE/видео.html You can also add Rank correlation analysis to your analysis
thank you Sir. very educative. Please i cannot find the video on ordinal regression for likert scale items. please can you share the link. checked amongst your videos. maybe i cant make it well.
@@obezipacademy I think F square is the measure. Actually I am searching in spss for composite reliability, cronbach;s alpha and construct validity assessment for measurement model; and Q square for predictive relevance measure..
How can we do ordinal regression where the dependent variable and independent variables have large number of items whose observation is collected in likert scale? can we use the transformed mean for analysis of ordinal regression? is there published evidence for that to cite? can you help me in this respect. some people say for non normal data we do not use mean
Good afternoon I believe the number 1 to 5 are codes for the strongly agreed to strongly disagree Why are we finding the means of this codes and not the mean of the number of respondents
Hello sir I would like to ask a question. Is it okay if my first likert scale data consists of 5 questions while my second likert scale data consists of 12 questions?? thank you.
@@obezipacademy Thank you for the response. I have also benefited from that. Let me hope that if most of my series are normally distributed then I use Linear Regression.
What is your hypotheses for how the variables interact? The analysis has no context without understanding that. This is more of an excel tutorital than a data analysis explanation. And why wouldn't you just do =AVERAGE instead of manually adding and dividing?
You saved my dissertation life
Thank you Sir, this is the video helps me for my research, God bless you 🙏🙏🙏🙏🙏🙏🙏🙏
The best on RUclips! Hands down and clear for all to understand. Cheers.
Thanks for adding values to human life through your transformational teaching. May God reward limitlessly
Thanks a lot. Because of this video I did my final year thesis successfully❤
This clip saved my Dissertation. Keep up the good job
the explanation of which parametric and nonparametric tests to use is priceless. Thank you.
Best video for multiple regression. Thank you so much sir
just found both videos for this subject and omg you saved my life!!! thank you sooo much, such a good explanation
Many thanks. Why not consider buying our latest book on "Applied Statistics and Research Techniques: A Practical Guide for Data Analysis" that contains much more. See picture on my profile picture
You have been super in this video. Great job. I got what I was looking for. I thank you.
Sir, I like the way you teach. I become proficient on spss regression analysis.
This is such a great video! Thank you sir, you just got yourself a new subscriber
It’s really helpful, thank you💙
Thank you so much for sharing this so impressive and informative video. I will be watching and learning more from you.
Thank you so much for your incredibly wonderful and detailed explanation.
Excellent Job. God will bless your knowledge!!
Thank you. You have saved a life🤗
Thanks prof. You have answered my questions. Keep up. We are waiting for time series and panel data. Thanks sir
muchas gracias me ayudo mucho para mi tesis es genial la explicación
Me alegra mucho saber que la explicación te fue de ayuda para tu tesis. ¡Mucho éxito con tu trabajo!
Wow, so simplified. This is very educative.
Great lesson, more grace.
You saved my life thank you so so so much for this
Thanks for the video @Obezip simple and easy to understand
Great video, well explained
Thank you for sharing knowledge
Thank you so much for helping me understand ❤
Have been expecting this. Thanks alot😊
Lifesaver!
Thank you, very detailed. As you can see. As you can see here :D
I absolutely love it
brilliant video.
Thanks a lot Sir
Hello Sir,
Why do we have to use Kolmogorov-Smirnov if our questionnaire are above 100? What is the explanation for this?
Thank you for such a detailed explanation, really helped me understand. I have the following question which will help me a lot with my thesis: how do I motivate the use of linear regression, given that the final variables introduced are still categorical of some sort? they are not continuous for sure. I do want to use linear regression, where my data is normally distributed, but how can I prove that I can do this? Thanks a lot, would appreciate your response.
ruclips.net/video/jPNc9SGrQcE/видео.html
thank you very much
Thank you so much
Sir, will you please make a video with the following info:
1. Dependent Variable has 5 indicators, each indicator consist of 5 question
2. Independent Variable has 2 indicators, each indicator consist of 5 question
and what test should be use. Thank you
Structural equation model(SEM) should suffice here
@@obezipacademy Can you please share one video link, if you have, or make for us with example, to get an effective demonstration and learning please?
Plse make it vedio for determinants of aoplication of SIGTAS system
when the sig of Shapiro-wilk are greater than . then the data is called normaliy distributed, What about in case of Kolomogorov Smirnov?
Normally distributed data. Use Linear regression
The raw variables are in likert scale from SD to SA which is coded from 1-5. What do the mean values you calculated represent? SD? D? or what? Can you explain that to me? Your video will be very useful to me if you can explain this. Thanks
What is the interpretation of Standard error of estimate in this table?
I wish you were my stats teacher
Aww. Don't worry, I'm developing a book on Applied Statistics and Research Techniques...it will ready by first quarter of 2023
@@obezipacademy excellent am sure you econometrics students enjoy your course. You explain stats with great command and ease
I'm sure they do. Many thanks for your complement
@@obezipacademy kindly share your email. Need assistance on data analysis
Really handy.. But you know there's an AVG function that'll calculate the mean for you, without keying in all the cell refs?
Yes I know, but not everyone is conversant with that method...
Where can I download your powerpoint?
shouldn't you recodify variables with more than 2 categories in order to use them in the regression analysis?
Is it corect to use regression with ordinal data?
Sir what to statistical test do we use if our data is the following:
1.) not normally distributed
2.) ordinal (likert scale)
3.) 4 independent variables, no dependent variable (descriptive research)
Watch this video on how to Choose Appropriate Statistical Technique for Data Analysis:
ruclips.net/video/jPNc9SGrQcE/видео.html
You can also add Rank correlation analysis to your analysis
thank you Sir. very educative.
Please i cannot find the video on ordinal regression for likert scale items. please can you share the link. checked amongst your videos. maybe i cant make it well.
ruclips.net/video/k1jxs2xaUXI/видео.html
Thanks for this presentation. What if there is autocorrelation indicated from the Durbin_Watson Statistics? How will be corrected? Thanks
You can try logging your variables and then re-estimate
Thanks so much prof. Any video on effects size ?
Effect size of what exactly?
@@obezipacademy I think F square is the measure. Actually I am searching in spss for composite reliability, cronbach;s alpha and construct validity assessment for measurement model; and Q square for predictive relevance measure..
@obezipacademy please what if some of the variables are normally distributed and some are not?
The dependent variable has to be normally distributed. More so, majority carries the vote
So when majority is normally distributed , you use linear regression?
How can we do ordinal regression where the dependent variable and independent variables have large number of items whose observation is collected in likert scale? can we use the transformed mean for analysis of ordinal regression? is there published evidence for that to cite? can you help me in this respect. some people say for non normal data we do not use mean
I'll make a video on this soon
You can watch my video on ordinal regression here : ruclips.net/video/k1jxs2xaUXI/видео.htmlsi=y4AjiFfGQMeRjRuj
What am i going to use if my DV is on ratio scale (e.g Profitability 0-20%) and my INV is Ordinal Scale (Likert Scale)?
ANOVA can handle it. It will treat the independent likert scale variable as categorical variable.
Sir, can you also share the PowerPoint
Good afternoon
I believe the number 1 to 5 are codes for the strongly agreed to strongly disagree
Why are we finding the means of this codes and not the mean of the number of respondents
Those codes are responses from each respondents.
Sir, may i request you to kindly share the PPT associated with this analysis and interpretation please?
Please why didn’t you multiply the result from the respondent by the ranking values of likert scale (5 4 3 2 1 ) before solving for mean
Why is that necessary if I may ask?
@@zuwairat I learnt that on some other videos on YT
What do we do if our dataset comprises data that turns out to be both normal and not normal? Which analysis do we use?
Majority carries the vote
@@obezipacademy If its 2 sets each?
Hello sir I would like to ask a question. Is it okay if my first likert scale data consists of 5 questions while my second likert scale data consists of 12 questions?? thank you.
It's ok depending on the nature of your instrument. Remember that likert scale should be in an odd number not even number. Eg. 5, 7,9, 11, etc
@@obezipacademy if that's the case, then I'll add 3 more questions on 2nd likert scale data, thank you.
@@obezipacademy oh wait, do you mean the amount of the answer options? I am using 5-point likert scale
what do you do when some series are Normally distributed and some are not in the same model?
If most of ur series are not normally distributed, you adopt ordinal regression technique
@@obezipacademy Thank you for the response. I have also benefited from that. Let me hope that if most of my series are normally distributed then I use Linear Regression.
You only used Excel to solve for the mean of those data but did not show how to solve for the linear regression. Your title is misleading
What is your hypotheses for how the variables interact? The analysis has no context without understanding that. This is more of an excel tutorital than a data analysis explanation. And why wouldn't you just do =AVERAGE instead of manually adding and dividing?