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Regression Analysis Using SPSS - Analysis, Interpretation, and Reporting
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- čas přidán 16. 08. 2024
- Learn Regression Analysis Using SPSS - Analysis, Interpretation, and Reporting. The video discusses in detail
00:00 - Channel Introduction
00:13 - The Concept of Regression.
01:17 - The differences between Correlation and Regression.
02:18 - Example of Regression Analysis
03:46 - Concept of Bivariate Regression
05:51 - Important Regression Terminologies
08:27 - Concept of Multiple Regression
09:20 - How to Run and Interpret Regression Analysis using SPSS
12:22 - How to Report both Bivariate and Multiple Regression
For Notes, please visit the following link
researchwithfa...
#ResearchCoach #SPSS #BivariateRegression #MultipleRegression #InterpretingRegressionAnalysis #ReportingRegressionAnalysis #ConceptOfRegression #SurveyAnalysis #BusinessResearch #ResearchCoach
Wow 👏 This is the best and most well explained videos on all the regression analysis that have come across on CZcams. It has cleared all my challenges! So complete and insightful, God bless you! Keep soaring and bringing such quality videos to help students!
Thanks. I am happy to know that you liked the video.
@@researchwithfawad a@p
Excellent , simple and easy to understand the concepts and apply. I heard this concept many occasions from my colleague professors, but I could not make out the head and tail of it. Thank you for making this video. No I am pretty clear
You are most welcome
i have been browsing the internet since morning,struggling and I finally landed here.Thank you so much for your time and effort.It was worth the watch,you saved my research project
Glad I could help!
This video got me feeling high with excitement. I’m a MHP student writing up my thesis and I’m feeling so smart !!! Thank you!!!❤️
Thanks l. I am glad you liked it
It is the best explanation of regression analysis in CZcams..Everything is simplified and explained excellently.
Thanks. I am glad you liked it.
This is such an amazing video. It goes in-depth so much through every single little thing. I really appreciate you making this video
Glad it was helpful!
This is by far the best video... Every single word was with a purpose. Thank you very much
Glad it was helpful!
1000x thank you for this video! Re-writing my thesis and this helped clear out the mental block I had! Amazing!
Thanks. I am glad you liked it.
thank you so much. using all the concepts for carrying out analysis of my thesis.
Thanks. I am glad you liked it.
Thank you for such a great explanation! It was explained very well with examples and helped me understand how to interpret the charts.
Thanks for watching
Phenomenal explaination...highly grateful sir...may almighty bless u
You are most welcome
Finally i understand this regression after watch this. Thanks
Thank you! I am glad you liked it.
One of the best explanations. I really enjoyed this explanation . So direct and very clear explanation .thanks
Glad you liked it
Hello! Such a huge thanks! Greetings from Romania!
Thanks. I am glad you liked it.
Good morning! I am glad I have discovered this amazing work of yours and would like to say a huge Thanks for sharing this knowledge. Such a great person ☺️
Pleasure. I am gald that the videos are helpful. Keep watching and sharing.
Kya baat hai professor! Superb! Well explained. Salute to you.
So nice of you
Its great video..can u please explain me how to report t values for multiple regression as u have not mentioned in the video and whats its use ...
Pleasure. I am glad you liked it. You can add a column for t statistics and report the t value each predictor.
Such an amazing video. It cleared all my doubts! Thank you for suggesting how to report the results and the interpretation!
Glad it was helpful!
your explanation is comprehensive
Thanks for watching.
Thank you very much and appreciate your valuable instruction on this subject.
Glad you enjoyed it!
Sir i have to say one thing just amazing you are one the best teacher . And also so humble as you given replies on all my questions on gmail thank you so much sir
Thanks. I am glad that i was able to help.
Very nicely explained, thanks
Pleasure. I am glad you liked it.
Thank you! Excellent video. I will watch it again because it was so informative!
Thanks. I am glad you liked it.
This is amazing.
Helped me a lot. Thanks
Glad it helped!
Thank you very much, this video helped me alot in executing my school assignment.
Glad it helped!
Sir, thank you very much , very simple but informative, clear and easy to comprehend
Thanks. I am glad it was helpful
love the way you explain
God bless you
So nice of you
A very nice video. Just one question: Will we use the mean or total (sum) of the variable to put it in?
Thanks for watching. Please use Mean Score.
thank u guru. for such a clear video .
You're most welcome
I have a question Sir, When we run multiple regression analysis, are there two r square values or just one r sqaure value?
you can use r square, not the adjusted one.
this interpretation really made my day, I've been always struggling with explaining and reflecting the result in a clear and concise manner
from now ahead I'll use this method
Thanks. I am really happy to know that the video was helpful. Keep Watching.
Thank you very much for this ... It's well explained...
Glad it was helpful!
such a great work.....much appreciated sir....it is helping me a lot in my phd
Glad to hear that. All the best.
MashaAllah, such a clear explanation
الحمد للہ
I am glad you liked it
@@researchwithfawad I am running a linear regression between the mean composite of:
mastering thinking traps in marriage life (DV),
religiosity (IV) and,
marital satisfaction (IV)
All 3 variables were ordinal likert scale before computing them to mean composite.
very interesting study but unfortunately the correlation values are low.
Very helpful. Thank you very much
Pleasure. I am glad you liked them.
Thank you Sir..Very clear to understand..I have a question..what if R square is very small..around 5%..is there any issue or is it normal
It is low. However, check for significance of results.
Thanks sir you explain very well this
So nice of you
great video. Please, explain to me why the t-value was compared to 1.96? why that figure, and where did it originate from? cos i can't seem to find it in the tables generated by the regression in this lesson
Thanks.
In simple terms, T statistics is a cut off value to assess whether or not a particular hypothesis is supported or not. Greater than 1.96 for a two tailed test shows hypothesis is supported.
@@researchwithfawad Hello, thanks for clarifying this I was also lost. But what if the value is a negative e.g - 2.735
thankyou for amazing explanation keep going
Thanks for watching.
wonderful explanation
Thanks. I am glad you liked it.
Your explanation is very good sir . Thank you for providing this type of lecture .could you please tell me where we get the example data to do analysis for practice purpose
Pleasure. I am glad you liked it. Please visit the Downloads page for a sample dataset.
researchwithfawad.com/index.php/download-research-resources/
Thank you sir. Well explained.
Glad it helped
@@researchwithfawad Hi Fawad,
Can I write a literally research paper, and develop Hypotheses. Then propose for further research to test the hypotheses, while submitting the earlier (without testing the hypotheses) to a journal?
Yes you can, but that conceptual paper has to be very strong in terms of contributions.
@@researchwithfawad Thank you Fawad.
Very good explanation
Thanks for watching.
Wow. Greatly explained❤
Glad you liked it
Thanks a lot for this video. It explains well.
Glad it was helpful!
Hi! Such a great video, thanks for sharing!
Although, I do have a question.
For IV/DV, do we need to compute total for the scale or mean?
Thanks. I am glad you liked it. Yes, if the construct has multiple items, take mean and have a composite score for the variable before using it in Regression Analysis.
Thank you,, it was really helpful.
Glad it was helpful!
thanks, it was one of the best videos on regression
Thanks. I am glad you liked it.
while writing the interpretation when should we consider r2 value and adjusted r2 value. like under which scenarios it has to be taken ?
Simple R-Sq is fine.
Thank you for the video... Do you have a similar video on how to interpret and report moderation/mediation? thanks
Hi. Not on SPSS but these videos can help explain the concepts and interpretation
Mediation:
czcams.com/video/Zu-P_KE0x4c/video.html
czcams.com/video/RjnfSVm3ev4/video.html
Moderation
czcams.com/video/dVM6NX0DLUo/video.html
czcams.com/video/S7_37sMSDno/video.html
Hello again. May i ask whether hypotheses is accepted if the beta coefficient is
A hypothesis is accepted, if the P Value is Less than 0.05. In your case, all hypothesis are accepted.
@@researchwithfawad Thank you again for your assistance! Appreciate it a lot.
Hello thank you so much for your very clear video. I am trying to run an analysis on a dependent variable that changes over a span of 2 years while I analyse the effect of two independent variables on the dependent variable. (depression at baseline is 100%, changes in depression after 2 years) I think i need to correct the dependent variable at baseline before I start my analysis but I don't know how. HELP please!!!!
I am glad you liked it. It is curve modelling. You should search for Curve Model in SPSS, or better to use Latent Group Curve Modelling in IBM SPSS AMOS
Thank you for the explanation, i have a question. When I conduct simple linear regression analysis i got different results from when i conduct multiple regression analysis. Can you explain why?
Thanks for watching. This will happen as there are other variables explaining the variance in the dependent variable. One variable may overshadow the impact of other.
Hello Thank you so much for this helpful video, I am conducting a bivariate regression and I have a question of where the F(1, 219) came from? The one explains that only one IV was used but where is the 219 coming from?
Thanks. I am glad you liked it. Please refer to the residual in the ANOVA table.
@@researchwithfawad thank you very much for your answer! I have conducted a graph to my regression analysis and my fitted regression model looks like this Y=4.24E2 + 1.18*x. Do you know by chance what the E2 stands for?
4.24 here is the constant, this means that if your X is 0, the value of Y would be 4.24
An interesting explanation!
Glad it was helpful!
Sir, dont we have to report the t-value in the results at all if there is one iv and one dv?
Yes you can report.
Great, am really assisted
Pleasure. I am glad you liked it
GREAT overview. Would you use linear regression if you were wondering if the need for venture legitimacy will moderate the relationship between status and stress and if so would VL be in the dependent and status and stress be the independent variables? Thank you Sir.
Thanks for watching. You can use regression in SPSS or Hayes Process Macro. Please watch
czcams.com/video/aLhh7OjVX-U/video.html
Great work
Thanks
Best explanation of Explaining and reporting Regression I have seen so far, it was really very helpful, my coursework is due in a few days and was struggling to interpret data and reporting it. I still have a question, I have precieved stress as DV and 3 IVs which are, coping styles, Personality and Social Support, the coping style has subcategories as avoidant, emotional foccused and problem foccused, similarly personality has 5 subcategories, I have put all these subcategories separately while running the regression Analysis, so Altogether my list of IVs has become 9. And I am running multiple regression ofcourse. So, my question here is, do I need to compute sum of all subcategories into one like for personality, the sum of all 5 subcategories into one and similarly for coping, sum of all three categories into 1. Kind regards.
First, thanks for your appreciation. I am glad the video helped.
As for transforming Personality, I would say No, Some variables with sub-categories may be transformed because the sub-categories are very much alike and highly correlated. for Personality, different personalities are far apart from each other and hence, in my opinion that should be kept and analyzed separately.
V h 🤤
🥵
Wonderful video, thank u so much
Glad you liked it!
Sir, very informative video. I am working on my thesis analysis part . I have 24 independent variables(Likert scale) and converted in CFA with 4 factors and 1 dependent variable with income category. Can I use sum total or mean score of the each factor & then calculate the ordinal regression? please suggest.
Thanks. I am glad you liked it. Yes, you can have composite independent variablesas well as dependent. But, if you are using ordinal regression, the dv is at ordinal level with ordered categories.
Quite insightful
Thanks. I am glad you liked it
thanks
You're welcome!
Thank you sir.🙏
Most welcome
I want to know tha impact of marketing mix factors on consumer buying behaviour.which test i shouls use?
Use Regression
Thank you for the explanation prof. what is the difference between regression analysis and path analysis?
Pleasure. I am glad you liked it. Path analysis is also regression analysis.
Hi my P value is
When p value is less than 0.05, this keans significant relationship. The sign with beta value shows direction of relationship.
nice
Thanks
How did you transform the sub-items of variables into one item?
Please take the mean of the items to transform the multi item scale into a single item.
Thanku so much!
Can we do graphical representation of this table? If yes, plz explain?
Pleasure. I am glad you liked it. You can design a scatter plot for graphical representation.
good fawad.mugo from africa
Thanks. I am glad you liked it.
Thank you so much Sir! Your explanation is really helpful. However, I've got a question, can I run linear regression as same as your case if all my variables are ordinal ? Thanks again!
Thanks. I am glad you liked it. If your variables are manifest variables, that is a single item with likert scale, use Ordinal Regression.
@@researchwithfawad Thank you so much Sir! However, do you have other videos that show the interpretation for ordinal regression? I'm quite confused with it but I have to do this for my dissertation. Thank you very much! 😀
I am afraid not yet. Hopefully i can make one soon.
thank you sir...
Most welcome
Sir..
Plz explain if the Beta value is negative...what should I interpret with this...
A negative beta means negative relationship between the two variables. This means an increase in one results in decrease in the other.
Great video @Fawad Latif. Do we have to attach the tables as well in the main text, in the appendix or nothing like that?
Thank you in advance
Thanks. I am glad you liked it. If adding tables in a paper, put it in the end and just mention in text like
Insert table 1 here.
Thank You
You're welcome
You saved me
Thanks. I am glad you liked it
What method is to use when IV are scale(likert scale-qwl,etc) and DV is categorical eg. Gender. Can use logistic regression or something else. Plz guide.
For binary outcome variables use Binary Logistic Regression.
@@researchwithfawad Thankyou soo much sir. 🙏
Sir, please make a detailed video on Inner and Outer Vif and how can we interpret their significance.
Thank You.
Hopefully soon
Sir please make a video on Stepwise Regression Analysis.
Thanks for your interest. Hopefully soon.
Thank you sir. This is the best video i have watched . have watched your other videos too. it was highly useful. Sir can you please help? what r square value should I put in each independent variable while doing multiple regression? Please answer.
Thanks. I am glad you liked it. R-sq is not for each IV, it is for DV.
@@researchwithfawad Thank You so much sir. Appreciate your prompt response. Glad to have found a teacher like you.
Brilliant
Thanks. I am glad you liked it.
You have used p
If the p value is 0.000, this mean that the relationship is significant even below 0.001.
i have one question sir, you are running these test on Alternative hypothesis right what about null hypothesis?? can we run same test on null hypothesis?
It is the same thing. If Alternate is not supported, the Null is.
Is R2 value is same for all predictors of multiple regression analysis ?
R sq, is variance in Dependent variable explained by predictors. So there can be multiple predictors.
I have five independent variables like EO, ESK, ET, EM and EE and one dependent variable that is Entrepreneurial Intention, please suggest which all analysis can be done.
Thanks in advance
If the variables are continuous, go for regression analysis
@@researchwithfawad EO has 14 items, ESK has 12 items, ET has 16 items, EM has 18 items and EE has 10 items. And I have used 5 point likert scale for all the items.
Yes you can use multiple regression. If the scales have sub dimensions, why not go for smartpls
@@researchwithfawad thank you very much sir. Your video cleared my doubts and your suggestions surely will help me.
hello sir, if my data is ordinal, will spss compute anoa or kruskal-wallis?
because anova might not give accurate results?
If you are looking to test differences in groups and the DV is ordinal Kruskal Wallis.
Please I need some help.
What statistical tool will you use to analyse housing affordability to income in mortgage financing?
It depends on the hypothesis proposed. How the variables are measured and related to each other.
Very Nicely explain.... do let me have more material on reporting the analysis
Thanks. I am glad you liked it. If you are looking for reporting spss results, please visit the playlist
SPSS Data Analysis: czcams.com/play/PLb7vm6tsQ3KtPV0aJuJvLg6R2bcjvelCD.html
Plz plz tell me how can i perform regression if we have more than one iv and also have more than one dv
Please read more on Structural Equation Modelling. You can use SmartPLS
When interpreting the T score,, you say its greater than 1.96. Where do you get 1.96. How do interpret score im confused at this part...
In simple terms , statistics can be used to assess the significance of the path coefficient. If the observed t statistics is over 1.96, this means that hypothesis is significant.
Sir, whatbdo you mean by when you said t value is 9.14 which is greater than 1.96.......where did 1.96 came from
The threshold for t statistics at 5% level of significance is 1.96 so if you t value is over 1.96 this means that the relationship is significant.
really helpful😍😍
Glad it was helpful!
How do you force the y-intercept through zero?
When running regression, by deselecting the "Include constant in equation" option, you can effectively force the y-intercept to be 0.
Sir..
Can u explain how to interpret ANOVA and beta
Anova shows if the overall model is significant, whereas beta shows the weight of impact for each predictor.
You rock it !!
Thanks. I am glad you liked it
This is great.
Thanks. I am glad you liked it
Hello Sir, can we compute regression analysis if one IV score is recorded in two different group? Pls guide
What if the dependent variable is significant in coeficients table, but other independents values are not, what does that mean?
But how can DV be in coefficients table in regression?
Because it´s the constant... i´m sorry i´m not an expert. Basically i have in front of the constant (in the coeficients table) a p value that is significant, but belong the constant, the modelo, i have the two independent variables, and they´re both not significant@@researchwithfawad
Better to report the significance of IVs.
what if DV has three forms, and 1 IV. How to find out regression?
Run separate regression analysis