Dr Todd Grande, you don't understand how much you've helped me. Seriously you're a God send. Thank you so much for taking the time to make these video. If I hadn't have watch nearly all of them I wouldn't understand half the things I do know. You're amazing!!!!!
I think this is the most detailed video I'd watched about linear regression using SPSS. I love how it was slowly explained so we can follow. Next time, I would really appreciate if some in-text interpretation of this data, perhaps, an APA format, is included at the end of the video.
I like that Dr. Grande explains in the beginning of the video what regression is and what it is used for. This helps to make the basic concept clear and helped me to understand how to do this in SPSS, even though I have never used SPSS.
Dr. Grande- Thank you for this exceptional video on regression using SPSS. This video allowed me better to understand SPSS along with the dependent and independent variable. As I am familiar with SPSS, this allowed me to have a refresher.
Linear regressions are helpful because it allows the researcher to identify the relationship between a independent variable and a dependent variable when all other extraneous variables are fixed. I am more of a visual learner, so I appreciated that you also showed us how to put the output data into a scatter plot. Very helpful!
This video seemed to be more advanced than pervious videos. Dr. Grande took the time to explain everything throughout the video, which really helped. I wish I was able to actually use SPSS because I think I would have a better understanding of these videos if I am applying what I learn.
Brittany Vodzak I agree about having access to SPSS. I think the CMHC program should seriously consider requiring use of both Excel and SPSS in the course material. If we had access to SPSS, I think a lot fewer people would struggle with these concepts by being able to compute them themselves, rather than just watching along. It seems to be a more practical approach to purchase SPSS.
There seemed to be a few more steps in this video, when compared with the last one, but all of them seemed to make sense. I was appreciative that Dr. Grande reminded us of what exactly regression shows us. Also, I had honestly forgotten the other terms for IVs and DVs when discussing linear regression; predictor variable and outcome variable, respectively. It is so helpful to be able to watch these videos step by step; I only wish I still had access to SPSS so I could do it myself, helping to solidify the concept!
I appreciate the reminder of what a regression actually is in this video. I never knew the other names for IV and DV, and I wish that they remained the same throughout all these measures. This video was a bit more advanced than I was prepared for. There was a lot of information in this video, and I wish I could do it along with the video so I could actually remember how to do it.
Jessie Howard Agreed, that I wish the names for IV and DV remained the same to avoid any confusion. This video was heavy with information and it seems that there is more to SPSS, in regards to regression, as opposed to Excel.
This video was more in-depth than the previous video and I think that helped me gain a better understanding of what linear regression was. I also have been noticing that I am getting confused with how calculations are done in Excel and SPSS. I keep getting them confused with each other and I believe that is because I have never used SPSS and haven't used Excel in a very long time. The videos seem to make sense when I am watching them, but less after the video ended.
This video provided a lot of useful information. It was helpful to learn that a linear regression allows you to look at one or more independent variables and see how well they predict the score of one dependent variable. It was useful to learn that the independent variable is referred to as a “predictor variable” and that the dependent variable is known as the “outcome variable.” I really enjoyed learning about multicollinearity and whether or not the independent variables are really measuring the same construct, determining if the correlation is high, noting that if the variables are measuring the same thing they don’t add value to the regression model. Once again, the video was very easy to follow and understand, I appreciate the detailed explanation of the concepts.
I enjoyed this video as it was easy to understand what a linear regression is, and how it is useful in data calculations. This will be helpful to refer to as it goes through each of the assumptions of this test as well as how to read and understand the data associated with the calculation. I also found it helpful that Dr. Grande discussed the importance of checking for and dealing with outliers in the data.
I learned a lot of information in this video. It was helpful to remember that the independent variables were the predictor variables, and the dependent variables were the outcome variables. In a linear regression, you take a look at one or more independent variables to see how well they predict the score of a dependent variable. The independent variable also can predict the score of the dependent variable, and the regression helps determine if that is correct. I learned useful tips for performing the linear regression, such as the fact that you should not have less than 20 participants or a high correlation between the independent variables.I thought the steps were simple to follow after clicking the analyze button and then checking regression-linear tab to get started. It was not confusing to navigate the pop-up boxes displayed, and it was easy to understand when following along with reading the final results. Other useful tips I learned were that you do not want the independent variables to correlate any higher than .7, but you do want them to correlate to the dependent outcome variable more than .3. Additionally, important information was provided for interpreting the rest of the data, such as the coefficients tables and following charts. I learned how to read the model summary and compare the results to the "R2" - or variance in the dependent variable expressed as a percentage.
I liked how in the beginning, the viewers were reminded of that regression means and how it is used. All of the concepts were explained well. It would be interesting to do this myself to see how it all works when I do it and to see if I can get all of the appropriate steps.
Dr. Grande, I appreciate the detailed information you have provided in this video. There is a lot to take...several new concepts, definitely more advanced! Hopefully I can follow it when working on the assignment.
I really liked the explanations of the assumptions in this video. I thought the explanations were easy to follow. I also thought the explanation of why we typically use the adjusted R was really great as well.
Thank you very much for the detailled explanations... As a person with no previous SPSS experience, I can now perform Regression Analysis with my own data!! :)) That's amazing!! Thanks a lot! ;))
This was a long video with a lot of information. Dr. Grande took time to go over things slowly. I could see how regression works with SPSS. I know it's been said in class before but again I get it right now in real time, but then ask me when the video is not playing in front of me and my brain goes duhhh... So I know for me hands on would be much better to really grasp this. Good video with lots of info.
Thank you very much - it is really helpful. I have a few questions: 1) In the correlation table, I see that few independent variables have a high correlation value (0.727). It should be less than 0.7, so What to do in this case? 2) What to do regarding a negative correlation value (For example: -0.160)?
I am finding with many of these concepts, that I wish I could participate as the processes are modeled. During undergrad, I would do some of these exercises, but I was unaware of the purpose or meaning behind the process. Now that I understand that element of the discussion, I wish I had the opportunity to try to implement myself.
Thank you for the video Dr. Grande. I found it interesting that in order to see a linear regression in a scatter plot, the variables fall between the standard deviation. I always thought in order to say it's a linear regression in a scatter plot that all the points had to fall in an upward direction, rather than a box.
Even if following the video required extra attention, it was very useful to understand the relationship between the ID and DV in a study. The graphics were useful to get a better grasp on the concepts.
This video certainly sparked memories of using SPSS in my undergraduate program, and the instructions were helpful. However, it is difficult to fully grasp each concept without hands-on practice.
Jacklin Skibicki I agree, it is hard to grasp a concept without actually doing it. I think I would have a much better understanding of these videos if I could apply what I learned.
It was helpful to hear how to interpret the output. I also appreciated understanding some of the output that we do not necessarily use for intrepretation, but is used as part of the formula, e.g., unstandardized coefficients and y = mx + b.
I prefer the previous video of this is excel to SPSS, but this was explained well. There are more steps and it is more complicated. Although it was very obvious that SPSS is more powerful than excel when it comes to certain data types.
I found myself leaning more toward SPSS rather than excel this time. I was a little confused by tolerance however. It is interesting, it tells you how much variability for a particular IV is not explained by the other IVs in the model. Thanks for the video.
This was definitely interesting to see how regression is done in SPSS. I never had the change to work in SPSS and honestly seems a bit overwhelming. I need to start out in Excel first before I move onto to something this complicated. But great video!
Ok, so the assumptions seem to be getting more and more difficult to test as we move through the more advanced statistics. I appreciate the slow steps you took to interpret these results, a lot to consider in the interpretation phase.
That was quite a load of information. I'm glad it was all in one video though, and watching the subsequent videos will hopefully just confirm what we learned in this one.
That's was a grt explanation...my query is when we are writing the formula for dependant variable... should we omit the coefficients of non significant variables or shouldn't??
This is very helpful for me now. So thank you very much for giving out the instruction! I checked on my data. And I found that the tollerance was around 0.9 but VIF was 1.06. So what to do in this situation? Should I rely on VIF or Tollerance? :(
Dr Grande thank you so much for your video on linear regression I really enjoyed it. Is it possible to provide some references supporting the cutoff values e.g. R squared > 0.3 or Cook's Distance between -3 and 3? Thank you in advance!
Thanks a lot this is extremely helpfull. What if all the assumptions are correct for a dataset except for the pearson correlation, which is 0,249. Is this than still valid to interpret the regression results? Thanks in advance!
If the Cook's value is above 1.0 would you take it out of your data set as an extreme outlier which skews the results? Would you leave it in if there were only a few and put that into your results section?
I learned how to show the relationship between the dependent and independent variables. SPSS is still difficult to understand without having used it before.
Dr. Grande I have independent variable comprised of 7 research items on three point likert scale which i have indexed into a single variable...Similarly I have a dependent variable loaded with 10 items on the similar scale. I got a very minimum R square value of 0.020. what I should do with this. However the tolarance is .767 and and VF is 1.304...with significance level of 0.000. I am quite worried about the model. Should I proceed with this or no...Please Help me.. Many thanks
One assumption to keep in mind is that you do not want the IVs to correlate any stronger than 0.7. Anything less than that is in the appropriate range. You also do want to see a correlation greater than 0.3 with the outcome variable.
This information also stuck with me, along with a lot of other helpful tips to remember when performing and reading the linear regression. I was surprised at how easy it was for me to take in information and follow along with the steps. The video was long, but it was very useful information to review or learn.
I think these vidoes make SPSS seem a lot more complex than it actually is. I actually perfer SPSS over Excel. That could be because I learned on SPSS. SPSS is most definitely something you have to learn by doing.
Candace Fernandez Mandy put it nicely- SPSS is definitely something you learn by doing, which is why it probably seems so confusing. I think if we just focus on the specific concepts rather than how to carry it out using these programs, we'll be less confused!
There seems to be more steps in SPSS than in Excel in the previous video. However, since I was able to follow the previous vidoe, SPSS with linear regression was not so hard to follow.
This was a little tricky to understand, perhaps because I have never used the SPSS system. I would prefer Excel and would like to stick to watching those videos.
I also understood the definition and concepts. I agree that the steps and key things to keep in mind when performing and analyzing the linear regression can be difficult to remember, like going in one ear and out the other the next day. I think it would help to write down some of these important steps so that I can go back and review it when doing it on my own.
This video seemed extremely confusing. Definitely no reflection on Dr. Grande's teaching method. SPSS is a difficult system to grasp. I prefer to use Excel.
Dr Todd Grande, you don't understand how much you've helped me. Seriously you're a God send. Thank you so much for taking the time to make these video. If I hadn't have watch nearly all of them I wouldn't understand half the things I do know. You're amazing!!!!!
You are quite welcome! Thank you for your kind comment -
I think this is the most detailed video I'd watched about linear regression using SPSS. I love how it was slowly explained so we can follow. Next time, I would really appreciate if some in-text interpretation of this data, perhaps, an APA format, is included at the end of the video.
I like that Dr. Grande explains in the beginning of the video what regression is and what it is used for. This helps to make the basic concept clear and helped me to understand how to do this in SPSS, even though I have never used SPSS.
I agree the explanation in the beginning of the video was helpful to go into the rest of the video.
I love watching your videos on analyzing people, and now that I'm taking a statistics class, I'm enjoying these videos too!
Dr. Grande- Thank you for this exceptional video on regression using SPSS. This video allowed me better to understand SPSS along with the dependent and independent variable. As I am familiar with SPSS, this allowed me to have a refresher.
Linear regressions are helpful because it allows the researcher to identify the relationship between a independent variable and a dependent variable when all other extraneous variables are fixed. I am more of a visual learner, so I appreciated that you also showed us how to put the output data into a scatter plot. Very helpful!
The explanation in full proved very helpful. The degree of unique contribution/variance explanation was very clarifying. Thank you.
This video seemed to be more advanced than pervious videos. Dr. Grande took the time to explain everything throughout the video, which really helped. I wish I was able to actually use SPSS because I think I would have a better understanding of these videos if I am applying what I learn.
Brittany Vodzak I agree about having access to SPSS. I think the CMHC program should seriously consider requiring use of both Excel and SPSS in the course material. If we had access to SPSS, I think a lot fewer people would struggle with these concepts by being able to compute them themselves, rather than just watching along. It seems to be a more practical approach to purchase SPSS.
There seemed to be a few more steps in this video, when compared with the last one, but all of them seemed to make sense. I was appreciative that Dr. Grande reminded us of what exactly regression shows us. Also, I had honestly forgotten the other terms for IVs and DVs when discussing linear regression; predictor variable and outcome variable, respectively. It is so helpful to be able to watch these videos step by step; I only wish I still had access to SPSS so I could do it myself, helping to solidify the concept!
I appreciate the reminder of what a regression actually is in this video. I never knew the other names for IV and DV, and I wish that they remained the same throughout all these measures. This video was a bit more advanced than I was prepared for. There was a lot of information in this video, and I wish I could do it along with the video so I could actually remember how to do it.
Jessie Howard Agreed, that I wish the names for IV and DV remained the same to avoid any confusion. This video was heavy with information and it seems that there is more to SPSS, in regards to regression, as opposed to Excel.
This video was more in-depth than the previous video and I think that helped me gain a better understanding of what linear regression was. I also have been noticing that I am getting confused with how calculations are done in Excel and SPSS. I keep getting them confused with each other and I believe that is because I have never used SPSS and haven't used Excel in a very long time. The videos seem to make sense when I am watching them, but less after the video ended.
This video provided a lot of useful information. It was helpful to learn that a linear regression allows you to look at one or more independent variables and see how well they predict the score of one dependent variable. It was useful to learn that the independent variable is referred to as a “predictor variable” and that the dependent variable is known as the “outcome variable.” I really enjoyed learning about multicollinearity and whether or not the independent variables are really measuring the same construct, determining if the correlation is high, noting that if the variables are measuring the same thing they don’t add value to the regression model. Once again, the video was very easy to follow and understand, I appreciate the detailed explanation of the concepts.
I enjoyed this video as it was easy to understand what a linear regression is, and how it is useful in data calculations. This will be helpful to refer to as it goes through each of the assumptions of this test as well as how to read and understand the data associated with the calculation. I also found it helpful that Dr. Grande discussed the importance of checking for and dealing with outliers in the data.
Very helpful. I am glad to be able to have capacity to pause and rewind PRN!
I learned a lot of information in this video. It was helpful to remember that the independent variables were the predictor variables, and the dependent variables were the outcome variables. In a linear regression, you take a look at one or more independent variables to see how well they predict the score of a dependent variable. The independent variable also can predict the score of the dependent variable, and the regression helps determine if that is correct. I learned useful tips for performing the linear regression, such as the fact that you should not have less than 20 participants or a high correlation between the independent variables.I thought the steps were simple to follow after clicking the analyze button and then checking regression-linear tab to get started. It was not confusing to navigate the pop-up boxes displayed, and it was easy to understand when following along with reading the final results. Other useful tips I learned were that you do not want the independent variables to correlate any higher than .7, but you do want them to correlate to the dependent outcome variable more than .3. Additionally, important information was provided for interpreting the rest of the data, such as the coefficients tables and following charts. I learned how to read the model summary and compare the results to the "R2" - or variance in the dependent variable expressed as a percentage.
I liked how in the beginning, the viewers were reminded of that regression means and how it is used. All of the concepts were explained well. It would be interesting to do this myself to see how it all works when I do it and to see if I can get all of the appropriate steps.
Learning the different types of exclusions that are a part of the linear regression in SPSS was very helpful to know.
I completely agree! Learning the different types was helpful but I'm worried the rest was a bit lost for me.
Dr. Grande, I appreciate the detailed information you have provided in this video. There is a lot to take...several new concepts, definitely more advanced! Hopefully I can follow it when working on the assignment.
I really liked the explanations of the assumptions in this video. I thought the explanations were easy to follow. I also thought the explanation of why we typically use the adjusted R was really great as well.
Mandy Moore Mandy, I agree. There seems to be many assumptions or general rules to keep in mind but they're always clearly explained.
Thank you very much for the detailled explanations... As a person with no previous SPSS experience, I can now perform Regression Analysis with my own data!! :)) That's amazing!! Thanks a lot! ;))
This was a long video with a lot of information. Dr. Grande took time to go over things slowly. I could see how regression works with SPSS. I know it's been said in class before but again I get it right now in real time, but then ask me when the video is not playing in front of me and my brain goes duhhh... So I know for me hands on would be much better to really grasp this. Good video with lots of info.
Thank you very much - it is really helpful.
I have a few questions:
1) In the correlation table, I see that few independent variables have a high correlation value (0.727). It should be less than 0.7, so What to do in this case?
2) What to do regarding a negative correlation value (For example: -0.160)?
I am finding with many of these concepts, that I wish I could participate as the processes are modeled. During undergrad, I would do some of these exercises, but I was unaware of the purpose or meaning behind the process. Now that I understand that element of the discussion, I wish I had the opportunity to try to implement myself.
After watching this video, I have a much better idea on how linear regression works and what it looks like... very helpful.
Thank you for the video Dr. Grande. I found it interesting that in order to see a linear regression in a scatter plot, the variables fall between the standard deviation. I always thought in order to say it's a linear regression in a scatter plot that all the points had to fall in an upward direction, rather than a box.
You are such a good teacher!
Thank you and I mean it from the bottom of my heart!
Thank you so much!
Thanks for everything Dr. Grande, I wouldn’t have passed my assignment if it wasn’t for you
This video was helpful in how to run regression. I found it helpful in understanding the differences between the IV and DV with the visual designs
Even if following the video required extra attention, it was very useful to understand the relationship between the ID and DV in a study. The graphics were useful to get a better grasp on the concepts.
This video certainly sparked memories of using SPSS in my undergraduate program, and the instructions were helpful. However, it is difficult to fully grasp each concept without hands-on practice.
Jacklin Skibicki I agree, it is hard to grasp a concept without actually doing it. I think I would have a much better understanding of these videos if I could apply what I learned.
Very useful video for solving my university assignments regarding SPSS. Thanks to Dr. Grande.
You are welcome - thanks for watching -
It was helpful to hear how to interpret the output. I also appreciated understanding some of the output that we do not necessarily use for intrepretation, but is used as part of the formula, e.g., unstandardized coefficients and y = mx + b.
I prefer the previous video of this is excel to SPSS, but this was explained well. There are more steps and it is more complicated. Although it was very obvious that SPSS is more powerful than excel when it comes to certain data types.
I found myself leaning more toward SPSS rather than excel this time. I was a little confused by tolerance however. It is interesting, it tells you how much variability for a particular IV is not explained by the other IVs in the model. Thanks for the video.
Despite the differences between SPSS and Excel, this video is still very informative. It does have a lot of good information about regression.
Great video- explained so simply, thank you!
This was definitely interesting to see how regression is done in SPSS. I never had the change to work in SPSS and honestly seems a bit overwhelming. I need to start out in Excel first before I move onto to something this complicated. But great video!
Ok, so the assumptions seem to be getting more and more difficult to test as we move through the more advanced statistics. I appreciate the slow steps you took to interpret these results, a lot to consider in the interpretation phase.
Very helpful but I agree with Joshua the ability to rewind was critical to catch each part of regression!
That was quite a load of information. I'm glad it was all in one video though, and watching the subsequent videos will hopefully just confirm what we learned in this one.
tremendous help, especially when understanding the process with more than one IV
Very helpful! What does it mean if my Cook's Distance numbers all turn up zero? Thank you!
Your explanations are really helpful but i would like to see how to model a linear regression with a categorical independent variable(principal).
Same here
Thanks so much I felt so overwhelmed until i watched this video
I'm glad you found this video useful. Thanks for watching.
That's was a grt explanation...my query is when we are writing the formula for dependant variable... should we omit the coefficients of non significant variables or shouldn't??
This is very helpful for me now. So thank you very much for giving out the instruction! I checked on my data. And I found that the tollerance was around 0.9 but VIF was 1.06. So what to do in this situation? Should I rely on VIF or Tollerance? :(
Dr Grande thank you so much for your video on linear regression I really enjoyed it. Is it possible to provide some references supporting the cutoff values e.g. R squared > 0.3 or Cook's Distance between -3 and 3? Thank you in advance!
Thanks a lot this is extremely helpfull. What if all the assumptions are correct for a dataset except for the pearson correlation, which is 0,249. Is this than still valid to interpret the regression results? Thanks in advance!
great video, watching this video is correlating with my success SIGNIFICANTLY!
I hope it's a positive correlation! Thank you for watching -
If the Cook's value is above 1.0 would you take it out of your data set as an extreme outlier which skews the results? Would you leave it in if there were only a few and put that into your results section?
I learned how to show the relationship between the dependent and independent variables. SPSS is still difficult to understand without having used it before.
I get how to set up the regression instrument and why you would use it but I got lost on the analysis of the data. I'll have to watch this again
Dr. Grande
I have independent variable comprised of 7 research items on three point likert scale which i have indexed into a single variable...Similarly I have a dependent variable loaded with 10 items on the similar scale. I got a very minimum R square value of 0.020. what I should do with this. However the tolarance is .767 and and VF is 1.304...with significance level of 0.000. I am quite worried about the model. Should I proceed with this or no...Please Help me.. Many thanks
Excellent video! Thank u!
TYSM!!!! Love your content.
Thanks for your video. How to report in the discussion of the paper the results of the analysis?
Thus great. You helped me so much understand linear regression. keep it up please.
Well explained 👍
Excellent video sir. Thank you very much.
Thank you for this helpful video
Very Helpful,
thanks a lot
One assumption to keep in mind is that you do not want the IVs to correlate any stronger than 0.7. Anything less than that is in the appropriate range. You also do want to see a correlation greater than 0.3 with the outcome variable.
Kimberly Hanna Good takeaway, Kim.
This information also stuck with me, along with a lot of other helpful tips to remember when performing and reading the linear regression. I was surprised at how easy it was for me to take in information and follow along with the steps. The video was long, but it was very useful information to review or learn.
thank you Dr. Grande.
Dear Dr. How can I conduct trend analysis with spss? Please help me
This was much more advanced than using excel for regression, I think I would much rather prefer using excel than SPSS.
I think these vidoes make SPSS seem a lot more complex than it actually is. I actually perfer SPSS over Excel. That could be because I learned on SPSS. SPSS is most definitely something you have to learn by doing.
Candace Fernandez I would rather use Excel too. I was able to grasp regression using Excel (as shown in the previous video).
Candace Fernandez Mandy put it nicely- SPSS is definitely something you learn by doing, which is why it probably seems so confusing. I think if we just focus on the specific concepts rather than how to carry it out using these programs, we'll be less confused!
Candace Fernandez Yes, I was definitely lost. Then again at times I feel like I am always in research!
Toniette Morda I agree. I am trying my hardest to get it. Some things I pick up on but others not so much.
There seems to be more steps in SPSS than in Excel in the previous video. However, since I was able to follow the previous vidoe, SPSS with linear regression was not so hard to follow.
Great Job
I I have a clearer of idea of how regression is plotted and the meaning of the results. I'm sure I will be referring to this video in the future.
This was a little tricky to understand, perhaps because I have never used the SPSS system. I would prefer Excel and would like to stick to watching those videos.
Thanks alot!!
Mooooost thankful
I suppose changing the title to Multiple Linear Regression, as a contrast to your Simple Linear Regression videol
I understand the definition and concept of linear regression however there are many steps to this that can become confusing for me.
I also noticed that there seems to be many more steps with SPSS than with Excel.
I also understood the definition and concepts. I agree that the steps and key things to keep in mind when performing and analyzing the linear regression can be difficult to remember, like going in one ear and out the other the next day. I think it would help to write down some of these important steps so that I can go back and review it when doing it on my own.
Nice
I am still overwhelmed and need more help
if you can be dropping the data set it will be good
thank you
You're welcome!
I love you Sir.. thanks.. XD..
it is more complicated than Excel.
tha ks
This video seemed extremely confusing. Definitely no reflection on Dr. Grande's teaching method. SPSS is a difficult system to grasp. I prefer to use Excel.
***** I agree, however it could be lack of interest in the subject matter.