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ADA2: Class 27, ATUS data subset and model selection
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Summarize your decisions and results
We will compile all of the results in a google form so that we can see the
variability from random sampling, starting model, model selection criteria, and
transformations to the response and selected covariates.
Random number seed (number)
Your answer
Starting model
Mean
Main effects
Two-way interaction
Clear selection
Model selection criteria
AIC
BIC
Clear selection
Response variable transformation
none
log
sqrt (y^0.5)
other power transformation
Other:
Clear selection
Any covariate transformations? (includes any change to a covariate, such as grouping factor levels)
No
Yes
Clear selection
If "Yes" to covariate transformations, list each variable and its transformation on separate lines: "var_name, transformation".
Your answer
How many outliers dropped
Your answer
Were you able to satisfy model assumptions?
Yes
No
Clear selection
If "No", model assumptions were not met, which were violated, including other issues? (leave blank if previous question was "Yes")
Residuals not normal
Non-random structure in a residual plot
Non-constant variance in a residual plot
Influential points (large Cook's D)
Outliers
Final model criteria statistics: r2
Your answer
Final model criteria statistics: aic
Your answer
Final model criteria statistics: p (number of model parameters)
Your answer
Final model criteria statistics: df
Your answer
Terms in model: initial model
Your answer
Terms in model: final model
Your answer
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