SEM with AMOS: From Zero to Hero (26: Interaction effect: Moderating role of a continues variable)
HTML-код
- Опубликовано: 4 дек 2024
- Learn everything you need to know to apply structural equation modeling (SEM) using AMOS in your research!
Video 26: Interaction effect: Moderating role of a continues variable
Dr. Saeed Pahlevansharif
Download all files that I used in my SEM workshop from this link:
drive.google.c...
I have designed this hands-on course to provide you an intense yet enjoyable instructional experience that focuses on a large number of both introductory and advanced topics in SEM using the latest version of one of the most well-known software package, IBM AMOS (Analysis of Moment Structures). In this course I will provide the materials and instruction that you need to both develop a good understanding of SEM and to be able to thoughtfully apply a variety of basic and advanced models to your data. More specifically, this course will cover a broad range of topics such as
• data preparation,
• model development,
• model fit assessment using various indexes,
• construct reliability and validity assessment using various methods,
• different methods to improve your model,
• structural model assessment,
• hypothesis testing,
• mediation using Baron and Kenny approach
• mediation using Sobel test
• mediation using bootstrapping method
• moderation,
• and multi-group analysis
Thank you for such a great video.
Thank you Dr. for your video, I have added new thing from it.
Thank you very much for the video, it helped me a lot, can you share me a reference to support what is in the video?
You can use this book as your reference:
Pahlevan Sharif, S., & Sharif Nia, H. (2018). Structural equation modeling with AMOS. Tehran: Artin Teb.
Thank you at all!!!
Thank you for the video.
Where can i download the excel sheet from?
Visit www.gociri.com. Register for free. Your account will be approved in a day. Then, take the course for free. you will have access to all materials. You also can get a free certificate if you complete the course.
The site seems to be down. Is there any other way to download the excel sheet?
@@nafiserfan3576 Sorry about it. The website is under maintenance.
@@saeedsharif could you please reply here when the site is up or if there is an alternative way I could do your SPSS and Amos course as well ?
Hi, Thank you for the video. I have watched all the lessons and they really helped me. I have a quick question. Can I insert moderating variables into the relationship between independent variable and mediating variable? Like your example in the session for the mediation effect, X->M->Y model, I want to see W(moderating variable) have a moderate effect when X impact on M. is it possible to examine? thank you.
Sure. It will be a moderated mediation. Search this term to find my papers. It's a common model used in many studies.
@@saeedsharif Thank you for your kind response. I read through your papers which handle moderated mediation. One point I am wondering is here.
When we see the mediating effect (in previous video), we ran bootstrap and checked the significance at 'bootstrap confidence' - 'bias-corrected percentile method' - 'Two tailed significance' sector. However in this video, we are checking the significance of the moderating effect at 'Estimates' - 'regression weight' sector.
I wonder what should I see to check the significance of the moderated mediation effect if I run bootstrap. I want to know the difference between the figure for P when I click 'estimates' and 'two tailed significance'.In addition, the differences between the values of estimates in regression weights sector and values in 'total effect', 'indirect effect', 'direct effect'.
Thank you.
Thankyou sir, I just wanna ask how to make the slope of high and low moderator in excel? Do you have the slope excel file?
regards
Dr Sharif thank you for the well explained and comprehensive course. It really helped a lot and I would definitely recommend to anyone who want to learn data analysis. May you kindly advise what one may do if SEM model fit states that the probability levels cannot be computed. Can one do data imputation even if there is no missing cases in the dataset?
Thanks for sharing the video. However, I have one doubt, the standardized value should range between -1 to 1. However, in the example, I found the std. a value greater than 1 also. Did I miss something?
Hi, I also have one doubt, Is the variables Trust, Output_Quality and Job_relevance the mean of all associated indicators?
R/Sir, Myself Rohit Kumar, your explanation of concepts is superb, Sir I have one query, I want to do practice, from where i can download the data . Thanks
helpful video thanks Dr
My pleasure
Dr. Sharif thank you for the explanation. I'm wondering if (let's say) I have a simple mediation model (consist of X, M, & Y) and I want to add a moderator (W) in between M and Y, would it be possible? And how to do it on AMOS? I have tried it on AMOS but the covariance cannot be drawn between the M, W, and M*W..
Please watch my video on moderation and follow the steps. You can add a moderator in any relationship including between M and Y. No endogenous variable needs a covariance. So, M does not need a covariance as it is an endogenous variable.
Hello Dr, For such a moderation analysis that you have run , is it necessary to report goodness of fit indexes in any thesis or article?????Because my goodness of fit in my moderation analysis is not good at all, what should I do??
What if the standardized regression weight of my interaction term is coming to be 2.2? Is it a problem?
Thank you for the explanation, can i have the copy of excel formulation to calculate my data? thank you
Many thanks if you help me.
Regards
Hi, Thanks for this video. I have one doubt, Is the variables Trust, Output_Quality and Job_relevance the mean of all associated indicators?
Merci pour cette intéressante vidéo. Pouvez vous partager le document Excel SVP? Je serai très reconnaissante.
Merci
All materials are available at www.gociri.com. You may register for free. When your account is approved, you can get the course for free and download all materials
Greetings, Dr., if I may ask, why do we remove the nonsignificant interaction? I know that by removing the nonsignificant interaction, it will affect other interactions in the model as what you have just shown at minute 9.15. My apologies, I have tried to find answers but could not obtain one. What is the rationale for removing non-significant interactions? Thank you very much.
That's a good question. My understanding is that non-significant effects have the potential to mask or absorb other interaction effects. Therefore, by removing the non-significant ones, you increase the likelihood of identifying any significant interaction effects that may exist.
@@saeedsharif I see. Perhaps I need further readings about this. Thank you very much for your time, Dr.
@@syarashazannazulkifli5503 All the best :)
Btw, I'm creating a new series on research methods and how to conduct research. These videos provide a step-by-step approach based on my experience with publishing papers and writing a thesis. Please take a look and share any suggestions you may have for future videos.
Here you go: ruclips.net/p/PLWBfO0FgZUYPN65cNzMOE38KDeISB8DM0
Please help! Can you run interactions in a SEM with second-order latent variables (i.e., a latent variable explained by other latent variables). I want to run an interaction between 2 predicting latent variables, but one of them is a second order LV, with 4 sub-constructs. Is is a case of running interactions between each sub-construct and the other predicting LV?