Compound Factors
Design Principals
Formal ANOVA I
Formal ANOVA II
Fisher Assumptions
100

When the effect of one factor is different across levels of another factor.

What is an interaction effect?

100

In addition to randomization and factorial crossing, this design principal is present in the split plot/repeated measures design.

What is blocking?

100

This is a table with a design's universal and structural factors listed in the rows and the SS, df, MS, and F-ratio quantities in the columns.

What is an ANOVA table?

100

The probability that we'd calculate an F-ratio as big or bigger than we did if our treatment effect variability were actually zero. 

What is a p-value? 

100

This Fisher assumption holds if the average of my residuals is roughly zero. 

What is the Z (zero) assumption?

200

A BF[3] design can test up to this number of two-way interactions.

What is three?

200

This new design principal, present only in SP/RM designs, necessitates the use of the MS blocks for the denominator of the between-block factor's F-ratio.

What is nesting?

200

If I assume an additive model for a design that has compound within-blocks factors, I use this as my denominator for my F-ratio's.

What is the MS residual (factorA X factorB X blocks)?

200

This design allows you to count for two sources of nuisance variance. 

What is the Latin Square design?

200

We consider this assumption violated if the SD of the biggest group is more than three times as big as the SD of the smallest group. 

What is the S (same sd) assumption. 

300

This is the number of research questions that are tested in a SP/RM[1,1] design.

What is five?   

300

One way of blocking is by creating similar groups of experimental materials, this is another way.

What is by reusing or sub-dividing experimental material?

300

In a split plot/repeated measures design, I use this as the denominator for any F-ratio's testing fully between-block factors (main or compound). 

What is the MS blocks?

300

To help me find the equations for my treatment effects I can label these on my factor diagram. 

What are the inside and outside factors?

300

We're looking for the points to fall along this line when making a scatterplot of observations for two levels of a within-block factor. 

What is the y = x line?

400

When the pattern of a two-way interaction is different across levels of a third factor. 

What is a three-way interaction?

400

This is a design with blocking present, but only a within blocks treatment factor and no between blocks treatment factor.

What is complete block, or CB[1], design?

400

This is the sum of the effects of all outside factors.

What is the partial fit?

400

In the Latin Square design, the number of rows is equal to the number of columns which is equal to this.

What is the number of treatment levels?

400

This Fisher assumption holds that observations within the same treatment condition are measurements of the same true value.

What is (C) constant treatment effects?

500

If I suspect that a within-block treatment effect differs across blocks, I should use this model for my residuals.

What is the non-additive model?

500

Why might it be helpful to block observations according to a variable correlated with the response variable? 

What is to remove nuisance variance?

500

This table, which is especially helpful for designs with compound factors, organizes the design factors with columns labeled unit, grouping, main, 2-way, and 3-way.

What is a summary table?

500

If I assume a non-additive model for my residuals in a design with compound within-block factors, I use this as my denominator for the F-ratio for Factor A. 

What is MS Factor A x Blocks?

500

This data visualization will help me check for independence in my residuals if I have a within block treatment factor that has two levels.

What is a scatterplot?