SAS/STAT Software

NESTED Procedure

The NESTED procedure performs random-effects analysis of variance for data from an experiment with a nested (hierarchical) structure. The following are highlights of the NESTED procedure's features:

  • provides a descriptive analysis of covariation
  • accommodates unbalanced data
  • automatically displays the following for each dependent variable:
    • Coefficients of Expected Mean Squares
    • each Variance Source in the model (the different components of variance) and the total variance
    • degrees of freedom (DF) for the corresponding sum of squares
    • Sum of Squares for each classification factor
    • F Value for a factor and the significance levels of a test of the hypothesis that each variance component equals zero
    • the appropriate Error Term for an F test
    • Mean Square due to a factor
    • estimates of the Variance Components
    • Percent of Total (the proportion of variance due to each source)
    • Mean
  • automatically displays the following when there are multiple dependent variables:
    • degrees of freedom
    • sum of products
    • mean products
    • covariance component
    • variance component correlation
    • mean square correlation
  • performs BY group processing, which enables you to obtain separate analyses on grouped observations
  • creates a SAS data set that corresponds to any output table

For further details see the NESTED Procedure