SEM with AMOS: From Zero to Hero (6: Goodness of fit)
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- Опубликовано: 10 окт 2024
- Learn everything you need to know to apply structural equation modeling (SEM) using AMOS in your research!
Video 6: Goodness of fit
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
I'am a graduating student and currently taking up Industrial Engineering Research. I will be using SEM for my study. Your videos really helped a lot. Thank you so much!
Yes, His videos really helped on our study. Thank you so much !
@@bethanywong9984 Thanks for watching
All the best with your study! :) Thank you for your comment
Admiring presentation!!!
Thank you for your comment. All the best
Lovely professor!
Thank you
Interesting course with loved instructor
Thank you!
Cbsem: test model as a whole, model fit index : goodness of fit chi square
How similar two models are: we can generalise to real world or not with high confidence
Very similar: chi square very small
We prefer non significant chi square results, we preper higher p values 0.05
We don’t want to reject null hypothesis: no sig diff between two models
For large sample sizes , chi square will be significant
If there is variation in result of different goodness of fit indices, how can we decide the final decision regarding goodness of fit?