Status Updates From Data Analysis And Statistic...

Canonical analysis is a statistical procedure that is appropriate whenever a researcher wants to analyze the relationship between two variable sets, each of which has two or more variables.

The chi-square test of independence is a method of testing the significance of the relationship between two variables that are crosstabulated in a contingency table.

The standard deviation of this distribution is known as the standard error of the mean (SEM); it is an index of the average amount of error in a sample as an estimate of the population mean. The smaller the SEM, the more accurate are the estimates of the population value.

Central tendency refers to the general location of a "typical" data value- in other words, the data value around which other scores tend to cluster.

Interval measurement involves assigning numbers that indicate both the ordering on an attribute, and the distance between different amounts of an attribute. Temperature on the Farenheight is an example of interval-level measurement.