Path analysis using Stata: Analysis and interpretation (February 2020)
HTML-код
- Опубликовано: 23 фев 2020
- This video provides an introduction to some of the basics of performing path analysis with Stata using the drawing program and various menu options. I discuss path analysis drawing notation, model estimation, and how to obtain parameter estimates and goodness of fit statistics. Download a copy of the data here: drive.google.com/file/d/1VoCn...
Download the Powerpoint referenced in the video here: drive.google.com/file/d/181CK...
More videos and resources on SEM with Stata can be found here:
sites.google.com/view/statist...
Be sure to check out my online sites at:
www.drmcstats.net/
sites.google.com/view/statist...
seriously i cannot than you more for this video... amazing job!
Thank you so much. This video has helped me so much for my dissertation. So grateful!!
..re-specifying the model (21:50) phrase helped me a lot... thank you!!
amazing stuff
This is just a perfect explanation, thank you for sharing!
You are very welcome! Best wishes!
Great explanations
thank you thank you thank you!! and thank you!!!
Thank you so much for such a great VDO😊
I'm glad you found it helpful! Thanks for visiting!
:0 thx
it really helped me to get an idea of the interpretation
Very glad you found this helpful!
Hi Mike, thanks so much for the video. Could you please guide us into using fixed effects in these models?
Great video! In terms of constructive feedback, I think it's better to leave out the more pervasive pointers among software use, such as "minimizing windows" and etc, to ensure maximum retention and effect on viewers.
Thanks
Super succinct and interesting! How would one include fixed effects in such an analysis?
Thank you for nice explanation. Can you please explain moderation of categorical variable, say gender or education and indirect effects in this model.
Thank you for this video - it is very helpful!! I have a question - is it possible to adjust the path model for covariantes (e.g. age, education, sex)? In this case, do I have to add paths for every single one of these variables in the SEM buider? Thank you in advance!! :)
Mike, is there a way to complete this analysis but from a multilevel approach, e.g. both within and between (two-level) MSEM?
Can you let us inform about reporting results in table, thank you so much
Thank you Mike, how does one get the p values of the indirect effect?
Thank you very much for the video. I have learnt how to do path analysis from the video. Here I have two question: 1. I can remove one square(one variable) if I don't want it. I cannot find delete bar which you mentioned in the video. 2. how can I get predicted probability for an outcome for a certain group. Thank you very much
Thanks a lot for this example. I am failing to run the model as Stata give a an error that cannot estimate unnamed variables. While all variables have been named.
Hi Mike, is there any solution for running path analysis with ordinal endogenous variables?
I wonder if the analysis procedure applies the same for data collected using a Likert-type scale?
Thank you for the video. When conducting a multigroup path analyis in Stata, what is best way to do pairwise parameter estimates?
or can we use the menu option as well to assess indirect effect?
Thank you for video! Can you help me to answer 2 questions? I am processing panel data. My model have both mediator and moderator. Can I use Stata to process my model? Can you guide me how to do it?
If we want to do comparative analysis between two groups , how can we do it on smart PLS?
Is there any way to use fixed effects with path analysis?
Can I DTA derived to the Stata version 13? To be easy for me to practice.
So, difference between confirmatory factor analysis and path analysis is that only measurement variables (no latent) variables are part of SEM analysis in the later?
Actually, there is path analysis with manifest variables (as shown in this video) and path analysis using latent variables. The latter represents a combination of both CFA and path analysis. I haven't put together any recent videos on the latter, but here's a link to an older video (not as good quality) using stata: ruclips.net/video/NDmJm9AtkAI/видео.html . Cheers!
Hi ,
I have one dependent variables called ( IWFP billion m3 ) for 3 crops.
and
4 independent variables ( RWr billion m3 year-1 + Ta Celsius +
precipitation mm + productivity kg/ha for 3 crops) Yearly data for a
country
Observation 19 years
I
want to do the analysis and see the effect of independent variables,
Please any suggestions, which is the perfect model I can apply and
dealing with ?? , thank you in advance
How can I include the controls variable to the model
from this video, can we use medsem package to evaluate indirect effect?
Hi Soeharto, 'medsem' should allow you to be able to evaluate the specific indirect effects in the model shown in the video. I do note caveats in this Powerpoint about the limitations of the package when evaluating specific indirect effects: drive.google.com/file/d/1I3-5nxr2dthTJVr9kBjDyifvG5wXZqm8/view?usp=sharing
Another option if you are not using the 'medsem' is to go with this approach using a bit more coding in the do-file: ruclips.net/video/4xfxbqlvuTA/видео.html
In this video I use a couple of illustrations that are fairly simple. But you can extend them to situations where you might have serial mediation where the effect of X on Y occurs through multiple mediators. I hope this helps!
@@mikecrowson2462 dear Prof. Mike thanks to valuable answer, I will try to follow and rewatch the video
can I get the link for the raw data that using for this video?
Hi there. There's a link to the data in the video description