CPSY 433 Lecture Notes - Lecture 5: Nomothetic, Habituation, Null Hypothesis
Document Summary
Lecture 5/6: experimental design, reliability, and graphing data. Experimental designs: help determine observed changes are due to treatment or intervening variables. Dependent variable: variable that is measured to show treatment effects. Null hypothesis: assumes that treatment has no effect on the dependent variable. Heuristic function: research leads to more research questions. Multiple baseline: multiple baseline across subjects, multiple baseline across behaviors, multiple baseline across settings. Treatment (x) applied and observation (o) occurs after treatment. Disadvantages: does not measure improvement, no control group. Dependent variable is measured (o) before and after treatment (x) Measures where people were before and after intervention. Disadvantages: only one measure before and after treatment, no control group. Multiple measures of dependent variable before and after treatment. Limits error associated with measuring dependent variable only once. Control group design: incorporates a non-treatment group comparison with treatment group. A-b design: multiple measures during baseline (a) and treatment (b)