Home » Analysis » Inferential Statistics »

# Randomized Block Analysis

I've decided to present the statistical model for the Randomized Block Design in regression analysis notation. Here is the model for a case where there are four blocks or homogeneous subgroups.

Notice that we use a number of dummy variables in specifying
this model. We use the dummy variable Z_{1} to represent the treatment group. We
use the dummy variables Z_{2}, Z_{3} and Z_{4} to indicate blocks
2, 3 and 4 respectively. Analogously, the beta values (**b**'s)
reflect the treatment and blocks 2, 3 and 4. What happened to Block 1 in this model? To
see what the equation for the Block 1 comparison group is, fill in your dummy variables
and multiply through. In this case, all four Zs are equal to 0 and you should see that the
intercept (**b**_{0}) is the estimate for the Block
1 control group. For the Block 1 treatment group, Z_{1} = 1 and the estimate is
equal to **b**_{0} + **b**_{1}.
By substituting the appropriate dummy variable "switches" you should be able to
figure out the equation for any block or treatment group.

The data matrix that is entered into this analysis would consist of five columns and as many rows as you have participants: the posttest data, and one column of 0's or 1's for each of the four dummy variables.

Copyright ©2006, William M.K. Trochim, All Rights Reserved

Purchase a printed copy of the Research Methods Knowledge
Base

Last Revised: 10/20/2006