PS296 Chapter Notes - Chapter 19: Contingency Table, Categorical Variable, Effect Size
Document Summary
A variable that represents counts of the number of observations falling into each of several categories. The situation where the effect of one variable depends on, or is conditional on, another variable. The number of independent pieces of information remaining after estimating one or more parameters. A measure intended to express the size of a treatment effect in terms that are meaningful to the reader. Observations in which the result for one measurement does not have any effect on the next measurement. When we deal with measurement/quantitative data, each observation represents a score along some continuum and the most common stats are the mean and the sd. When we deal with categorical/frequency data, the data consist of the frequencies of observations that fall into each of two or more categories. Used for analyzing categorical (rather than measurement) data. We are interested in testing for the lack of independence of the two independent variables.
