PSY 201 Chapter Notes - Chapter 12: Statistical Hypothesis Testing, Analysis Of Variance, Repeated Measures Design
30 Jul 2018
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Anova - evaluates mean differences between two or more treatments/populations. Uses sample data to draw conclusions about populations. Factor - the variable (independent or quasi-independent) that designates the groups being compared. Levels of a factor - individual conditions or values that make up a factor. Two-factor design/factorial design - a study that combines two factors. Single-factor design - a study that only has one independent variable. Independent measures design - uses a separate group of participants for each treatment condition. Use variance to measure sample mean differences - f-ratio: Variance (differences) between sample means divided by variance (differences) expected with no treatment effect. Testwise alpha level - the risk of a type i error, or alpha level, for an individual hypothesis test. Experiment-wise alpha level - the total probability of a type i error that is accumulated from all of the individual tests in the experiment, when there are several different hypothesis tests.
