PSYB01H3 Study Guide - Design Of Experiments, Statistical Significance, Railways Act 1921
Document Summary
Increasing the number of levels of an independent variable. Increasing the number of independent variables: factorial designs. This type of experimental design is a closer approximation of real-world conditions, in which independent variables do not exist by themselves; researchers recognize that in any situation a number of variables are operating to affect behaviour. Factorial designs yield two kinds of information: information about the effect of each independent variable taken by itself: the main effect of an independent variable. In other words, the effect that an independent variable has on the dependent variable depends on the level of the other independent variable. A main effect is the effect each variable has by itself. The main effect of each independent variable is the overall relationship between the independent variable and the dependent variable. One common type of factorial design includes both experimental (manipulated) and nonexperimental (measured or nonmanipulated) variables.
