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The output from this option is displayed in the manner examined in ANOVA Output. (Kleinbaum et al, Neter
et al, Hays)
Simple Random Block/Repeated Measures
A simple random block/repeated measures model can be estimated by executing the S. Simple Random
Block / Repeated Measures option on the ANALYSIS OF VARIANCE menu
When this option is executed you are prompted to select the dependent variable and two factors for the model
to be estimated.
The output from this option is displayed in the manner examined in ANOVA Output. (Kleinbaum et al, Neter
et al, Hays)
N Way Random Block/Repeated Measures
An n way random block or repeated measures model can be estimated by executing the R. N Way Random
Block/Repeated Measures option on the ANALYSIS OF VARIANCE menu. This option allows you to
estimate fixed, random, and mixed effects random block or repeated measures models with or without a
nested block/subject factor.
When this option is executed you are prompted to:
Select the dependent variable and factors for the model to be estimated.
Identify the nested factor if the block/subject factor is nested in the model to be estimated.
Identify the random factors if there are random factors in the model to be estimated.
In the case of a three-way or greater fixed effects random block model you are prompted to specify whether
the model to be estimated is additive or interactive:
In additive models all block variable interaction terms are suppressed.
In interactive models only the highest order interactive terms are suppressed.
You are also prompted to identify the block variable.
The output from this option is displayed in the manner examined in ANOVA Output. (Kleinbaum et al, Neter
et al, Hays)
Analysis Of Covariance
A set of covariance variables can be included in an analysis of variance or random block/repeated measures
model by executing the C. Covariance Analysis option on the ANALYSIS OF VARIANCE menu.
When this option is executed:
You are prompted to specify whether you want the covariance variables to be added to an
analysis of variance or a random block/repeated measures model.