Thank you Mike. When you give freely to others, you will also receive abundantly and you will succeed in everything you do. You have really helped me, thank you again.
Hello sir. I have been much benefited with your videos. But, I have a question. How would we calculate the model fit if we have a more moderating variable between anxiety and advice? Thank You
Thank you for your great video Mr Mike. It help me a lot since i need to do some research about AMOS method. If you don't mind, can you share with me the reference for your data that you used in this video?
Hi Adilah, thank you for visiting. I'm glad my presentation was helpful! There's no real reference for the data. I created it a few years ago to demonstrate various statistical procedures, such as this one. So I use it from time to time in different videos. It saves me from having to hunt down data to use :) Best wishes!
I am a complete beginner to this so I have this question- you put Performance goal as one of the independent variables. Is this Mean of the items? For instance, if you would measure Performance goal with three questions and make a mean of the responses to those questions- is that what you put in that box? or would you put each question in this model seperately?
For this presentation, I demonstrated regression and path analysis with manifest (observed) variables. If you have multi-item scales, for you to use the approach I discuss in the video you will need to create a new variable for each scale that is the sum or average of the items comprising that scale. It is that new variable that is put in the boxes in the path diagram. (by the way, I have a fuller discussion of path analysis here: ruclips.net/video/9tm4YqTSM6M/видео.html) Another approach to path analysis would involve latent variables where the individual items are modeled as indicators of those latent variables and you also model predictive relations. Essentially, this type of model is a combination of factor analysis and path analysis. Here is a video demonstrating this other approach in AMOS (ruclips.net/video/DSHa0WreIYc/видео.html). It will likely seem rather complex right now, but this is a common approach and should answer your question about when you might use individual items instead of summed/averaged scales. Cheers!
Hello, I'm trying to run (calculate estimates) the model and it says:'no working data has been specified. Please select data file from the file menu and specify a data file.'
Sir, do we need to put covariance in our independent variables in structural model even though in our hypothesis/conceptual model we do not correlate those?
In general, you should allow exogenous variables to covary. Think of it the same way we think of in multiple linear regression where we generate partial regression coefficients to examine the relationship between each iv and the dependent variable controlling for the others
Thanks Mike - great tutorial - just what I needed to get started
Thank you Mike. When you give freely to others, you will also receive abundantly and you will succeed in everything you do. You have really helped me, thank you again.
Great stuff as always. Whenever I need a break from writing papers, I watch your SEM video -- I know, it sounds strange.
Thanks Li. I appreciate your comment :) Cheers!
Wow - thanks for this! I seriously needed this refresher! ❤
Very good class. Thanks.
Very good material
Hello sir. I have been much benefited with your videos. But, I have a question. How would we calculate the model fit if we have a more moderating variable between anxiety and advice? Thank You
This is a very basic orientation.....I need a very very basic orientation.
Thank you for your great video Mr Mike. It help me a lot since i need to do some research about AMOS method. If you don't mind, can you share with me the reference for your data that you used in this video?
Hi Adilah, thank you for visiting. I'm glad my presentation was helpful! There's no real reference for the data. I created it a few years ago to demonstrate various statistical procedures, such as this one. So I use it from time to time in different videos. It saves me from having to hunt down data to use :) Best wishes!
I am a complete beginner to this so I have this question- you put Performance goal as one of the independent variables. Is this Mean of the items? For instance, if you would measure Performance goal with three questions and make a mean of the responses to those questions- is that what you put in that box? or would you put each question in this model seperately?
For this presentation, I demonstrated regression and path analysis with manifest (observed) variables. If you have multi-item scales, for you to use the approach I discuss in the video you will need to create a new variable for each scale that is the sum or average of the items comprising that scale. It is that new variable that is put in the boxes in the path diagram. (by the way, I have a fuller discussion of path analysis here: ruclips.net/video/9tm4YqTSM6M/видео.html) Another approach to path analysis would involve latent variables where the individual items are modeled as indicators of those latent variables and you also model predictive relations. Essentially, this type of model is a combination of factor analysis and path analysis. Here is a video demonstrating this other approach in AMOS (ruclips.net/video/DSHa0WreIYc/видео.html). It will likely seem rather complex right now, but this is a common approach and should answer your question about when you might use individual items instead of summed/averaged scales. Cheers!
@@mikecrowson2462 Thank you so much! I appreciate your help :)
Hello, I'm trying to run (calculate estimates) the model and it says:'no working data has been specified. Please select data file from the file menu and specify a data file.'
what;s the difference between standardized and unstandardized estimates? which one do you include in your paper? thank you!
Sir, do we need to put covariance in our independent variables in structural model even though in our hypothesis/conceptual model we do not correlate those?
In general, you should allow exogenous variables to covary. Think of it the same way we think of in multiple linear regression where we generate partial regression coefficients to examine the relationship between each iv and the dependent variable controlling for the others
Gud day Mike
Please how can i reach out to you