Advanced Tab

Select the Advanced tab of the Canonical Analysis Review Descriptive Statistics dialog box to access the options described here.

Element Name Element Type Description
Means and standard deviations Button Displays a spreadsheet with the descriptive statistics for the variables in the analysis. If a raw data file is analyzed (i.e., raw data was specified on the Canonical Analysis Startup Panel - Quick tab) a particularly useful Graph of Input Data for that spreadsheet is the histogram with fitted normal distribution.
Correlations Button Displays a spreadsheet with the current correlation matrix. If a raw data file is analyzed ( raw data was specified on the Canonical Analysis Startup Panel - Quick tab) a particularly useful Graph of Input Data for that spreadsheet is the scatterplot with the fitted regression line.
Covariances Button Displays a spreadsheet with the current covariance matrix. If a raw data file is analyzed (raw data was specified on the Canonical Analysis Startup Panel - Quick tab) a particularly useful Graph of Input Data for that spreadsheet is the scatterplot with the fitted regression line.
Box and whisker plot of vars Button Produces box and whisker plots for the variables in the current analysis. The box and whisker plot will summarize each variable by three components:
  1. A central line to indicate central tendency or location
  2. A box to indicate variability around this central tendency
  3. Whiskers around the box to indicate the range of the variable

After clicking the Box & whisker plot of vars button and selecting variables from the resulting Select Variables dialog box, the Box-Whisker Type dialog box will be displayed, in which you can choose to plot for each variable by selecting the appropriate option described here:

  • Median/Quart./Range: Medians (central line), quartiles (box), and ranges (whiskers); note that the specific method that is used to compute these values can be configured via the Computation of percentiles box in the Options dialog box - Analyses/Graphs: Limits tab.
  • Means/SE/SD: Means, standard errors of the means, and standard deviations.
  • Means/SD/1.96*SD: Means, standard deviations, and 1.96 times the standard deviations (95% normal confidence interval for individual observations around the mean).
  • Means/SE/1.96*SE: Means standard errors of the means, and 1.96 times the standard errors of the means (95% normal confidence interval for means).

Matrix plot of correlations Button Displays a matrix scatterplot for the variables selected for the analysis.
SD=sqrt(Sums of Squares)/N   There are two ways in which standard deviations can be computed: as the sums of (deviation) squares divided by N (the valid number of cases) or N-1. If divided by N-1, the resulting standard deviations are estimates of the standard deviations in the population (Sigma); if divided by N, then the resulting standard deviations are descriptions of the sample only. Selecting the SD=Sums of Squares/N check box will not affect the subsequent computations for the canonical analysis.