THIS TUTORIAL IS NOT YET COMPLETE!!!

10.11.3. Positive Role Model. 1

By Default by Design. 2

After loading the data, the default variables are tested as a model. The a summary of the model results is shown below. The text is a print out of the R function that calculates the model (aov_car).

../../_images/3dMVM_validator_specify_01.png

Spelling counts in large amounts. 3

Start typing a model as you would for the -bsVars argument in 3dMVM. The program will make sure that you are entering a valid model. It will check your spelling and match your text with the variables that are in your data table. The “Specification errors” box will show you want is wrong with the text strings. If the model is valid, the “Model result” box will display a summary. If not, you will see the “Enter a valid model” warning.

../../_images/3dMVM_validator_specify_02.png

Rudie Can’t Fail. 4

This model shows a failure. The BaselineScore is a numerical variable, but it was not specified as a quantitative variable -qVars. Since it tests the model as you type, you know where the mistake is.

../../_images/3dMVM_validator_specify_fail.png

Specifying the BaselineScore as a -qVars gives a successful model. Gender is also numerical, but it would not be quantitative.

../../_images/3dMVM_validator_specify_success.png

Warning

We don’t care about the p value for this model!!! We only want to make sure it doesn’t fail!!!




On to other tabs!



Footnotes

1

Pet Shop Boys

2

ABC

3

Everything Counts by Depeche Mode

4

The Clash