Sir, I have a question. In Linear regression analysis i found excluded variable but i have no idea about excluded variable. So, how i explain in my hypothesis result?
This is a really useful video, it really helps to improve my knowledge about SPSS, Thank you Dr., I have a small question could you please tell me how do we report a negative significant
Sure I will upload more such videos. These days I am busy with a project. Till that time you can read my latest publication to learn about reporting negative significant variables from my published paper. www.emerald.com/insight/content/doi/10.1108/IJILT-05-2020-0089/full/html?skipTracking=true&TrendMD&M300_and_PC_Report_TrendMD_0&WT.mc_id=Emerald_TrendMD_0 www.emerald.com/insight/content/doi/10.1108/IJQRM-09-2021-0335/full/html
Dear Haider . The percentage of relationship is proved in the output. It may be low or high. For the hypothesis testing we need to see the significance level related to the variable. Kindly see video for the details.
Thank you very much, Sir. This video helps me a lot. But I have some questions and if you are willing, please help me by answering these questions? 1, In my research, I will use only one dependent & 5 independent variables and all of them are ordinal data (5 points Likert scale). And in each variable, there are 4 questions. So, how can I generalize (sum up) these questions into one variable to perform Multilinear regression? should I use mean or median to compute the variables? 2. According to different literature, ordinal data are non-parametric and should use like Median, Mode, Mann Whitney U-test, and Spearman correlation. Therefore, which method is the best one for my research (parametric or non-parametric) or can I use ordinal data as continuous data in order to perform Multilinear regression? Thank you in advance for your help.
I have a similar type of questionnaire in one of my papers. Kindly go through it to understand this issue. www.emerald.com/insight/content/doi/10.1108/IJILT-05-2020-0089/full/html?skipTracking=true&TrendMD&M300_and_PC_Report_TrendMD_0&WT.mc_id=Emerald_TrendMD_0
Thank you! I have one question on my analysis I got beta value 0.026 which is positive but sig value is 0.672 which is above 0.1 . should i accept the hypothesis ?
Actually speaking it depends upon the language of ur hypothesis. If the values are insignificant we usually say there is no impact of x on y. So if ur hypothesis says that there is a significant impact or relationship of x and y and the values u got are insignificant we reject the hypothesis.
if i want to test the relationship between two variables or let me say I want to test the relationship between inflation and poverty, wich test should i use?
if you want to see the impact of one variable on another u can use regression analysis. I have included my other video related to model development below for you to look over. check my chanal videos.
Could you look at my other video for model development to get clarification regarding the multiple IV? The regression analysis remains the same but u have to use the mediator analysis to see the impact of a mediator.
@@adilzia yes i watched that video, but the problem is my iv is cultural intelligence which is amalgam of 4 sub variables i.e metacognitive, cognitive, behaviour, motivational intelligence, so i need to check effect of those four as a whole and not individual
@@kulsoomkulsoom6799 use compute variable command in SPSS to create a new variable which is an amalgam of 4 sub-variables and then apply the regression analysis.
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Best explanation for the Multiple regression, after 12+ videos im so happy i found this. Thank you ❤
That’s great.
Best explanation ever both videos were a life saver for Phd Students, keep Rocking sir !!!
Sir, I have a question.
In Linear regression analysis i found excluded variable but i have no idea about excluded variable. So, how i explain in my hypothesis result?
How do you get that dependent variable in spss?
you can select dependent and independent variables in SPSS. You have to develop your model and decide the dependent and independent variables.
Thank you sir. Well explained 👌
Thanks for sharing such a great information and skills with us
Nice explanation 👍😊
if the hypothesis is directional, would the sig of anova need to be halved to calculate the real significance level?
Kindly elaborate your query. I have not seen any research talking about such kind of analysis in which there is a need to have the significant value.
This is a really useful video, it really helps to improve my knowledge about SPSS, Thank you Dr., I have a small question could you please tell me how do we report a negative significant
Sure I will upload more such videos. These days I am busy with a project. Till that time you can read my latest publication to learn about reporting negative significant variables from my published paper. www.emerald.com/insight/content/doi/10.1108/IJILT-05-2020-0089/full/html?skipTracking=true&TrendMD&M300_and_PC_Report_TrendMD_0&WT.mc_id=Emerald_TrendMD_0
www.emerald.com/insight/content/doi/10.1108/IJQRM-09-2021-0335/full/html
If we are proving a Significant Relationship between the variables, what is the minimum percentage to be considered in order to prove our hypothesis.?
Dear Haider . The percentage of relationship is proved in the output. It may be low or high. For the hypothesis testing we need to see the significance level related to the variable. Kindly see video for the details.
Thank you very much, Sir. This video helps me a lot. But I have some questions and if you are willing, please help me by answering these questions?
1, In my research, I will use only one dependent & 5 independent variables and all of them are ordinal data (5 points Likert scale). And in each variable, there are 4 questions. So, how can I generalize (sum up) these questions into one variable to perform Multilinear regression? should I use mean or median to compute the variables?
2. According to different literature, ordinal data are non-parametric and should use like Median, Mode, Mann Whitney U-test, and Spearman correlation. Therefore, which method is the best one for my research (parametric or non-parametric) or can I use ordinal data as continuous data in order to perform Multilinear regression?
Thank you in advance for your help.
I have a similar type of questionnaire in one of my papers. Kindly go through it to understand this issue. www.emerald.com/insight/content/doi/10.1108/IJILT-05-2020-0089/full/html?skipTracking=true&TrendMD&M300_and_PC_Report_TrendMD_0&WT.mc_id=Emerald_TrendMD_0
Sir what was your alpha value?
Thank you!
I have one question on my analysis I got beta value 0.026 which is positive but sig value is 0.672 which is above 0.1 . should i accept the hypothesis ?
Actually speaking it depends upon the language of ur hypothesis. If the values are insignificant we usually say there is no impact of x on y. So if ur hypothesis says that there is a significant impact or relationship of x and y and the values u got are insignificant we reject the hypothesis.
@@adilzia my hypothesis say "x has positive effect on y" what can i conclude?
if i want to test the relationship between two variables or let me say I want to test the relationship between inflation and poverty, wich test should i use?
if you want to see the impact of one variable on another u can use regression analysis. I have included my other video related to model development below for you to look over.
check my chanal videos.
Dear Sir,
Thank you for the Explanation.
But on my analysis, I got
Yes, correct. it shows highly significant value
How to do regression analysis if we have multiple iv and a mediator too
Could you look at my other video for model development to get clarification regarding the multiple IV? The regression analysis remains the same but u have to use the mediator analysis to see the impact of a mediator.
@@adilzia yes i watched that video, but the problem is my iv is cultural intelligence which is amalgam of 4 sub variables i.e metacognitive, cognitive, behaviour, motivational intelligence, so i need to check effect of those four as a whole and not individual
@@kulsoomkulsoom6799 use compute variable command in SPSS to create a new variable which is an amalgam of 4 sub-variables and then apply the regression analysis.
@@adilzia thank you, will try this,
@@adilzia just did it. Why everyone made it so complicated if it was this much easy.. Stay blessed sir
thanks brother