# Psych 2800 USU Exam 3

 ﻿ANOVA: Analysis of Variance Factor: the variable (independent or quasi-independent) that designates the groups being compared in analysis of variance Levels: the individual conditions or values that make up a factor Between treatments variance: variability in scores that is due to differences between the levels of the independent variable Within treatments variance: variability in the scores that is due to measurement error or individual difference (chance) Mean squares: term used to describe variance in ANOVA F-ratio: the test statistic for the ANOVA Error term: the denominator of the F-ratio; provides a measure of variance due to chance Post hoc tests: additional hypothesis tests that are done after an analysis of variance to determine exactly which mean difference are significant and which are not Experimentwise alpha level: the overall probability of a Type 1 error that accumulates over a series of separate hypothesis tests – usually substantially greater than the stated or “nominal” alpha for any of the individual tests eta squared (h2): percentage of variance in dependent variable accounted for by the manipulation (Independent variable) Estimation: the inferential process of using sample statistics to estimate population parameters Point estimate: a single number used as an estimate of an unknown population parameter Interval estimate: a range of values that is used as an estimate of an unknown population parameter Confidence interval: an interval estimate that is accompanied by a specific level of confidence or probability Repeated measures study: within-subjects study - a study in which a single sample of individuals is measures more than once on the same dependent variable Matched subjects study: each individual in a sample is matched with an individual in the other sample; subjects are matched either because they are similar on a variable of interest (e.g., IQ, sex) Difference score: D = X1 – X2 – the difference between the matched scores (i.e., between the first and second scores of an individual in a repeated measures design or between the scores of the two related individuals in a matched subjects design) Estimated standard error for MD: the average or typical distance of a single difference score from the population difference score Carryover effects: participant’s response in the second treatment is altered by lingering aftereffects of the first treatment Progressive error: participant’s performance or response changes consistently over time AuthorAnonymous ID226322 Card SetPsych 2800 USU Exam 3 DescriptionVocabulary from the study guide for exam 3 Updated2013-07-08T17:32:51Z Show Answers