How to Report
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- Опубликовано: 17 апр 2022
- The video focuses on How to Report Regression Analysis results based on the SPSS output.
Regression Analysis: Concept, Analysis, and Interpretation
• Regression Analysis Us...
#Regression #Regression_Analysis #SPSS #Report_Regression_Analysis #Reporting_Regression
Thank you so much sir keep uploading such useful content.
So nice of you
Big Thanks from Morocco, may God protect you and take care of you.
Thanks. I am glad you liked it
Shukriya sir❤️I'm writing the analysis portion of my thesis and for which I wanted to know the way to report the multiple regression. Thanks a lot sir.
Most welcome 😊
Thank you so much! God bless you more.
Glad it helped!
Thank you so much. This comes at a right time i am defending my thesis next week.
Best of luck!
thank you sir, Jazakallah. May Almighty Allah bless you
Pleasure. Ameen
Salamu alaikum professor, I just wanted to say that this session helped me alot! barrakallah 🙏and thank you!
Glad to hear that
Thank you very much brother. You're video and explanation is very clear. Others are doing and hiding information
Thanks. I am glad you liked it
Thhhhhhhhhhhank you so much
super easy way to explain❤😊
I was struggling to comprehend it before😢
You're welcome 😊
thank you so so so so so so much, this was the best explanation
You're very welcome!
This is an excellent lecture.
Thanks. I am glad you liked it.
Thank you so much sir. Your explanation is so clear and easy
Pleasure. I am glad you liked it.
Thank you for reducing my stress.
You are so welcome!
jazakallah. Thanks from India
You are most welcome
This helps me a lot thanks sir
Glad to hear that
Great! May Allah Bless You
Thank you.
Assalamualikum. Thank you for the explanation.
Pleasure. I am glad you liked it.
Just brilliant
Thank you.
God Bless you Sir
Ameen
Very nicely explained concept. Sir Kindly make a lecture on how to do data entry in SPSS after data collection through likert scale
Thanks. I am glad you liked it. Here is a video on SPSS
ruclips.net/video/dfzr-SaE1l4/видео.html
Thanks Fawad 👍🏼
My pleasure
Thanks Sir
Thanks. I am glad you liked it.
❤
Thanks. I am glad you liked it.
Thank you, sir. As usual, your sessions are usually clear and easy to be grasped. If I have one IV and one mediator V and one DV, how to treat the MV?
1- Do I need to treat it one time as DV to the IV, and one time as IV to DV
2- Is it considered a bivariate regression or Multiple regression
Thanks. You can use Hayes Process Macro for mediation in SPSS. Please refer to the videos on the Channel. Refer to Hayes Model 4 video
ruclips.net/video/91murZM1ieg/видео.html
Professor, Can i directly use individual 5point Likert items, as independent variable in multiple regression, as these items are formative construct, not reflective-so i cant transform them to a mean score. I have read that likert items on 5 or more point scale can be treated as continuous variable..
Yes you can
Thank you for your videoes! I have a question though - if i want to analyse the survey responses from qualtrics in a regression analysis in SPSS (mainly using net promoter likert scales in my survey), how do I take an average response to get you your predictors of interest? So, I have 3-4 questions linked to each variable that i want to measure, so I need to find å way to find the average response on each topic/variable so i can run it in the analysis!
Thanks for your interest.
You will need to take the sum of the individual items. Let say, i have Organizational Commitment measured using 4 items COM1, COM2, COM3, COM4
If you have it in SPSS,
Go to Transform -> Compute Variable
In the Target Variable Enter the Name of the New Variable that is to be created based on taking the average, let say COMM.
In the numeric expression type in
Mean(COM1, COM2, COM3, COM4)
Press OK. The new variable is created at the end of the Data View and is also visit in the variable view. You have now composite score for each respondent that you can use in regression.
@@researchwithfawad Thank you so much!!
One more question: I have 2 dependent variables and 4 independent variables, and want to test 1 of the dependent against 2 of the independent (and the other one against the other two)- what type of regression is the best? multiple and run it twise? or multivariate?
You will need to run it twice, as you can only have 1 DV in one run.
Would have appreciated if you could clarify how it shows significant/ insignificant relationship or how it is supported or not supported? What do we look for in order to come to that conclusion?
P value less than 0.05 shows significant relationship.
Respected Sir, thank you for the wonderful explanation. Sir I still have one doubt from the video is that How did you interpret that the independent variables have POSITIVE IMPACT on the dependent variable??
It can have NEGATIVE IMPACT too. How can we interpret it??
Thanks. Please see the beta value. If it has no sign with it. Its positive
Wonderfully explained it is really helpful. I had insufficient knowledge about this.
I've some confusions here.
(1) My 4 independent variable have Sig. value of .000 but 1 independent variables has sig. value .396 what should be done in that case *note* I've only one dependent variable?
(2) How do we know that which values 1 tailed >0.05 or 2 tailed >0.01 should we use?
(3) Which tables and test should be included in results part? I've added demographic correlation. After this video I'll be able to add regression table as well. Is there any other table that should be included apart from these?
I'm stuck on results and reporting part of my paper.
May GOD bless you.
Thanks. I am glad you liked it
Values less than 0.05 is significant. So both values are significant.
SPSS provides two-tailed results.
Report Demographics, Reliability, Correlation, and Regression Results when using SPSS.
Sorry, one variable has sig. value of .396 it's beta value is okay at .066. Another variable hai sig. value .000 but its beta value is -109 (-ve). How will we report these two?
Should i report ANOVA table as well in analysis part?
For reporting please follow the procedure as mentioned in the videos irrespective of whether sig or insignificant
That means for beta value 0.59 & sig 0.396 I can report that its not significant but relation is partially supported. And for beta value -.137 & sig.000 i can report that relation is significant but not supposed.
Thank you very much 😀
P value less than 0.05 means insignificant results
Thanks Prof. Is the sig value provided by spss for one tailed or two tailed? because i noticed that you took sig values as it and not divided them by 2, despite you have directions in your hypotheses
Thanks for watching. If not clearly mentioned in the output, p value is two tailed.
Thanks Dr@@researchwithfawad
I watched a video in which instructor took standardized coefficient beta while explaing relationship between IV and DV. I just want to confirm which value should be considered while explainng either hypothesis is accepted or rejected?
You can use both.
Hi Dr. Please help. I received this notice: Unexpected singularities in the Hessian matrix are encountered. This indicates that either some predictor variables should be excluded or some categories should be merged.
How do I troubleshoot this?
Check if there are any correlations that are too high.
Respected Sir. Thank you for the video. One question my dear Sir. Why are we using the unstandardized beta and not standardized Beta (β)? Thank you Sir.
Thanks for watching. The interpretation is easier in terms of change of units.
What is one of my independent variable's unstandardized B is negative? Does that mean that it doesn't have a significantly positive impact?
Yes, negative shows the direction of relationship.
Thank you so much sir. This helps me alot but I have a query here. Kindly help me resolving it.
If we are applying multiple regression than there is use to be only one hypothesis or we can have many sub-hypothesis as you have shown in the video. Please help me for my thesis.
Thanks for watching. You can have multiple hypotheses.
Dear sir what is the different between unstandardized coefficient beta and standardized coefficient beta? Nd also which value is taken while accepting/rejecting a hypothesis?
Unstandardized beta is in the units of the response variable and represent the change in the response variable associated with a one-unit change in the independent variable, while standardized coefficients are in standard deviation units and allow for the comparison of the strength of the relationship between the response variable and each predictor variable.
You can use both.
What data do I need to look at if I want to compare which of your hypotheses has the greatest impact on life satisfaction?
Please look for path coefficients in coefficients table.
Good content ! Thanks I find it helpful , Sir I have one question regarding the regression analysis intercept (constant )
What is the meaning of the negative sign for intercept (-0.91015) what does this negative sign indicates ?
Y (dependent variable)= -0.91015 + (1.25* X1) + (0.25* X2) + (1.56735 * X3)
Does negative sign play any role while interpreting the result for dependent variable?
Is the model good fit ? if all the P values , t values and R square values are in limit and these values are perfectly fine.
Can please clarify the same Thank you so much
Contingent to the dependent variable, a negative intercept should not be concerning. In simple terms it means that expected value for the dependent variable will be less than 0 when all predictors are set to 0.
@@researchwithfawad Thank you so much for your response, you have mentioned that, negative sign of the intercept is not a concern.
Although can you please tell me that if all the P values , t values, correlation between variables is positively moderated (above 0.5) and R square values are in limit and in acceptable range
then is the model considered as good fit between independent variables and dependent variable ?
Thank you so much for your guidance in advance
Very informative video sir.
If correlation coefficient is positive but regression coefficient (Multiple Regression analysis)of the variable comes negative what inference can be drawn from such analysis? Kindly tell.
The change can be attributed to the inclusion of other variables. It has to be assessed what variable is causing such change in the direction of impact. You may add variables one by one as block and see the impact.
@@researchwithfawad Ok.Thank you.
Hello, i am doing now My MBA master thesis . I really do appreciate you efforts . Dear , if my hypothesis is rejected , in the equation while writing the results should I do for example : Mc Does not Predict WF, F (3, 156) = 1.016, p>0.01 . ( In here should I change from p < 0.01 to p> 0.01 ) ?
P value as shown in the table is .387
Change to p > 0.05
If I have a model with more than 2 independent variables and the p value for the model as a whole is not significant, but the p value for one of the independent variables is significant....can it still be reported? If yes, sir can you please tell me how to report it ?
You can put in the categorical variables in one model.
Yes ..I have put the categorical variables in one model. The p value for the model as a whole is not significant, but among the independent variables, only age is significant.
Can I still report it sir ?
@ fawad sir is there any video on homoscedasticity on your channel
No. There is no tutorial.
hello, my F-test result is around 78, so is it okay? okay to report it?
The results are highly significant. It can be high.
My questionnaire is based on 3 independent variables and I collect the data about it but there is difficulty for me because I don't have the data about dependent variable so what can I do
I am afraid you can't do anything. How can you explain variance in something that is not measured.
@@researchwithfawad that's why I'm asking to you what should I do now?
Collect the data.
what if i have multiple dependant variables that measure same performance
For multiple DVs used AMOS or SmartPLS
Respected sir
Sir i want to check effect of energy consumption on certain factors like financial availability and other. So my question is whether i should go for linear or multiple regression. Thank you
If there is more than one factor affecting an outcome. You will use Multiple Linear Regression.
Thank you so much sir
sir, what is the use of t statistics
T Statistics can be used to assess the significance of relationship. Value over 1.96 can be referred to as significant.
Sir how to do moderator variable
Thanks for your Interest, Please watch
ruclips.net/video/MW7Om3LnhVU/видео.html
Shouldn't the null hypotheses be saying that there's no significant impact/ relation...?
Thanks for watching. Yes, but i wrote the alternate.
Oh, cool! 😄👍
You have any urdu channel?
AoA. I am sorry, the lectures are only in English.
Hello, sir! Is it possible to have a result of 1 in R-squared?
A value of 1 indicates that predictions are identical to the observed values. There is some issue with your data.
@@researchwithfawad I have four independent variables, which equals 1 in r-square. If I exclude any independent variables, the r-square no longer becomes one. Is this because of the independent variables?
Yes, that 1 variable could be the issue.
I still dont get what is F how value is interpreted etc can someone explian in simple words?
It is like t statistics but instead of individual variables, f shows the significance for overall model.