Fixed effects regression in SPSS 28 for repeated measures/longitudinal data (video 3 of 3)
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- Опубликовано: 21 авг 2024
- This video is the third in my series on fixed effects regression in SPSS 28 for repeated measures/longitudinal data. In this video I demonstrate how to incorporate both time-varying predictors and time indicators/dummies as predictors of variation in a time-varying outcome using airline data. I rely on the least squares dummy variable approach in this video.
A copy of the SPSS data file used in this video can be downloaded here: drive.google.c...
A copy of the Powerpoint referenced in the video can be downloaded here:
drive.google.c...
Video 1 in the series: • Fixed effects regressi...
Video 2 in the series: • Fixed effects regressi...
Video on dummy coding in SPSS: • Multiple regression us...
Thanks so much Mike. You are a great great presenter. I loved all your videos and can't thank you enough for your contribution to education. Blessings.
The dummy codes option is so useful and time-saving. I dummy-coded variables each by each before watching your videos.
This video was an absolute life-saver. Thank you!
Very clear explanation, thank you so much for making the video!
Thank you so much, Mike! Can I use the same technique for ordinal logistic regression as well? I am struggling with a big dataset where I have 162 countries and 20 years of data, and my DV is ordered, so I am trying to create a fixed-effect Ordinal model using this technique. If yes, where will I place the dummy variables-- in covariates or factors in the regression box? Sorry for the long-winded comment, but could really use the help 🙏
Hi, thank you for this video, really great stuff. Is there a possibility to use an additional variable and check for moderating effects on the relationship between the independent and depentend variable with this method?
maravilha. show!!. thinks for the PowerPoint.
You're welcome!
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Hi Mike is this the only way to do fixed effects in SPSS if you have thousands of ID variables?
If you have a large number of ids, you could use generalized estimating equations (gee) in spss. Another option for analysis is multilevel modeling in spss. Cheers
Can we use without dummy