Analysis of Latin Square Designs

Analyzes balanced Latin Square, Greco-Latin Square, and Hyper Greco-Latin Square designs; the program expects the categorical predictor variables to describe a valid balanced Latin Square design; use the General Linear Models (GLM) facilities to analyze balanced and unbalanced designs of any complexity, and to perform residual analyses.

General

Element Name Description
Displays means Displays a spreadsheet with the marginal means, parameter estimates, and standard deviations for each level for each factor. The parameter estimates can be interpreted as deviations of the means from the overall mean (m) for the respective levels of the respective factors.
Means Plot Displays a plot of means for each factor in the design. In this plot, the optimum setting for each factor can be easily identified.
Displays design Displays a spreadsheet specifying the settings for each factor for each experimental run. The spreadsheet also shows the values for the dependent variable.
Actual Latin Square Displays a spreadsheet that shows the actual Latin Square design.
p, for highlighting Specifies a probability (alpha) value that will be used for highlighting significant results in various results spreadsheets.