PSYC 60 Chapter Notes - Chapter 12: Type I And Type Ii Errors, Variance, Dependent And Independent Variables
Document Summary
Analysis of variance: hypothesis testing procedure that is used to evaluate means of differences between two or more treatments. T tests are limited to situations where there are only two treatments to compare anova use two or more treatments. More flexibility in designing experiments and interpreting results. Study involving three sample representing three populations. Goal of analysis is to determine whether the mean differences observed among samples provide enough evidence to conclude that there are mean differences among three populations. No differences between the population (or treatments) observed differences between sample means are caused by random sampling error that differentiate one sample from another. Populations (treatments) really do have different means population mean differences are responsible for causing systematic differences between the sample means. Quasi-independent variable: nonmanipulated variable to designate groups. Factor: independent variable or a quasi-independent variable. Levels: individual conditions or values that make up a factor. Anova can be used either independent measures/repeated measure design.
