Mixed Models in NCSS

The Mixed Models procedure analyzes results from a wide variety of experimental designs in which the outcome (response) is continuous, including

• Two-sample designs (replacing the t-test)
• One-way layout designs (replacing one-way ANOVA)
• Factorial designs (replacing factorial GLM)
• Split-plot designs (replacing split-plot GLM)
• Repeated-measures designs (replacing repeated-measures GLM)
• Cross-over designs (replacing GLM)
• Designs with covariates (replacing GLM)

The Mixed Models procedure can be used to test and estimate means (including pair-wise comparisons among levels), compare models, estimate variance-covariance matrix components, and produce graphs of means and repeated measurements of subjects. Restricted maximum likelihood and full maximum likelihood techniques are implemented in this procedure.