PSY309H1 Chapter Notes - Chapter 11: Statistical Hypothesis Testing, Confounding, Complement Factor B
Document Summary
In most research situations, the goal is to examine the relationship between two variables by isolating those variables within the research study. The non-experimental and quasi-experimental designs usually investigate the relationship between one quasi-independent variable and one dependent variable. Factorial designs use a notation system that identifies both the number of factors and the number of values or levels that exist for each factor. A 2 2 factorial design is considered the simplest factorial design. A 2 2 factorial design represents a two-factor design with two levels of the first factor and two levels of the second, with a total of four treatment conditions. A 2 3 2 factorial design would represent a three-factor design with two, three, and two levels of each of the factors, respectively, for a total of 12 conditions. In an experiment, an independent variable is often called a factor, especially in experiments that include two or more independent variables.
