KINE 2049 Lecture Notes - Lecture 14: Repeated Measures Design, Operational Definition, Dependent And Independent Variables
Document Summary
Identify the dependent variables: name the variables that were measured, find out how each dependent variable was measured, write the operational definition for each dependent variable. Identity the control variables: name the variables that were held constant. Identify the design of the experiment: learn how the subjects were selected and assigned to groups, specify the design: independent groups, repeated measures, or combined model. The benefit of increasing the complexity of an experiment is the potential gaining comprehensive findings. The cost of increasing complexity is the potential difficulty of managing a complex experiment and interpreting complicated findings. One of the most important reasons for conducting experiments with two or more independent variables is to determine if the variables interact with each other. The presence of an interaction shows that an important relationships exists between variables.