Multi-level categorical x continuous interaction (linear regression) SPSS (SPSS Tutorial Video #35)
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- Опубликовано: 9 июн 2021
- In this video, I explain how to conduct a continuous by multi-level categorical interaction in linear regression using SPSS. I show you how to create dummy variables with interactions, run the analysis, interpret the results, and plot the results.
This SPSS tutorial series is designed to teach you the basics of how to analyze and interpret the results of data using SPSS. I will cover everything from the very basics of the main windows within SPSS, to manipulating data, to running and interpreting meaningful analyses like t-tests, ANOVA, regression, and many more, and visualizing results.
The data file used in this video can be found here: drive.google.com/file/d/1-Bbn...
Video tutorial and walkthrough of the data file used in this video: • Introduction to Data F...
REGRESSION VIDEO about basic Single Variable Linear Regression: • Linear Regression in S...
REGRESSION VIDEO about Multivariable Linear Regression: • Multivariable Linear R...
REGRESSION VIDEO about Continuous by Categorical Interactions with Linear Regression: • Continuous by Categori...
REGRESSION VIDEO about Continuous by Continuous Interactions with Linear Regression: • Continuous by Continuo...
Video about creating Dummy Codes: • Dummy Coded Variables ...
Video about descriptive statistics in SPSS: • Descriptive Statistics...
Playlist of video covering INTUITION for statistics and data science: • Data Intuition
All the SPSS tutorial videos are in this playlist: • SPSS Tutorials
Learn more about who I am and why I'm doing this here: • Data Demystified - Who...
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Thanks so much! I have learned a simpler way of visualizing interactions.
Phew... watched all 36 videos on the playlist. A lot has been learned, and a lot more to go.
Thanks Prof. Galak. You are an inspiration.
Thank you for the one explanation that helped me so much further! It is very clear!
I'm so glad you found the video useful!
Thank you for the video. This is very helpful. I was wondering why the continuous variable here was not centred as in the previous video? Thank you.
@DataDemystified I also had this same question...
Thank you for the one explanation that helped me so much further! It is very clear!
@DataDemystified
I would like to ask how I can adjust the model for some factors such as children’s gender, age and ethnicity
Thank you for the video. I'm finding this super helpful for my dissertation. I was wondering whether it is also possible to run a regression analysis with including an interaction between two multi-level categorical variables. I have tried doing this in SPSS, but I find it difficult to determine the reference category in the interaction terms. Is the reference category just the group I do not include in the model?
This video helped me so much - thanks a lot.
How would I need to report these results in APA style? thanks again!
Thank you very much for the videos, the are really helpful. I would like to ask why I cannot plot the interactions if I add covariates, it shows something with no sense. Could you please tell me know? Thank you very much.
Hello, I would like to ask if I have more than two categorical variables that have a multi-level of categories and want to include all these categorical variables with other continuous numerical inputs into multiple linear regression model. In this case, can I extract the regression model as y = a*x + b*y + c*z ? THANKS A LOT!
Hi, thanks for the video! I was wondering when you're doing the interpretations whether the interaction would need to be added/subtracted to the main effect terms? For example, polid_democrat with polid_democrat*minutewatch.
Also, can the polid_democrat (for example) be interpreted alone without the interaction term?
If you're trying to identify the total effect of any underlying variable, then, yes, you much combine the base term with the interaction term AT A SPECIFIC LEVEL OF THE OTHER VARIABLE.
And no, you cannot interpret the meaning of the base term without also considering the interaction.
in this video, there was one categorical predictor with 4 levels and one continuous predictor. What if I have two categorical predictors, education level for example instead of minutes watched? shall I follow the same steps but with the other categorical predator instead of the minutes watched? thanks in advance.
HI I followed the same pattern in a different data. Although I got negative coefficients in the model, when I plot them in aline graph, they were showing a positive slope. Can u please explain where am I doing wrong?
Sorry, it's very hard to know what went wrong without actually using your data. Good luck!