PPT-Repeated Measures ANOVA

Cal State Northridge 320 Andrew Ainsworth PhD 2 Major Topics What are repeatedmeasures An example Assumptions Advantages and disadvantages Effect size Psy 320 Cal State Northridge. Methods for Dummies. Isobel Weinberg & Alexandra . Westley. Student’s t-test. Are these two data sets significantly different from one another? . William Sealy Gossett. Are these two distributions different?. One - Analysis of Variance (Within - Subjects ANOVA) SPSS for Windows Analysis of Variation. Math 243 Lecture. R. Pruim. The basic ANOVA situation. Two variables: 1 Categorical, 1 Quantitative. Main Question: Do the (means of) the quantitative variables depend on which group (given by categorical variable) the individual is in?. Hao. Chai. Dereck. . Shen. Skull dataset. 138 skulls from 10 regions. Thickness was measured at 219 locations on each skull. Other variables in dataset:. Age of person (at time of death). Sex of person. (a.k.a. Analysis of Variance). 1. Outline:. Testing for a difference. in means. Notation. Sums of squares. Mean. squares. The. F distribution. The. ANOVA table. Part II: multiple. comparisons. Worked example. Comparison of Task Completion Times of 4 Navigation Techniques and 2 Input Methods by 36 Subjects. Source: F.-G. Wu, H. Lin, M. You (2011). "The Enhanced Navigator for the Touch Screen: A Comparative Study on Navigational Techniques of Web Maps," . Analysis of Variance. Let’s say we conduct this experiment: effects of alcohol on memory. Basic Design. Grouping variable . (IV, manipulation) with . 2 or more levels. Continuous dependent/criterion variable. Research Methods in Physical Activity. Research Methods in Physical Activity. Purpose and Protocol of the Statistical Test. The purpose of the statistical test is to evaluate the null hypothesis at a specific level of probability (e.g., p < .05). In other words, do the two levels of treatment differ significantly (p < .05) so that these differences are not attributable to a chance occurrence more than 5 times in 100?. Understand the basic principles of ANOVA. Why it is done?. What it tells us?. Theory of one-way independent ANOVA. Following up an ANOVA. :. Planned contrasts/comparisons. Choosing contrasts. Coding contrasts. Chapter Objectives. Rationale of Repeated Measures ANOVA. One- and two-way. Benefits. Partitioning Variance. Statistical Problems with Repeated Measures Designs. Sphericity. Overcoming these problems. At its lowest level it is essentially an extension of the logic of . t. -tests to those situations where we wish to . compare the means of three or more samples concurrently.. ANOVA. One-way ANOVA. One IV and one DV. The . Multivariate. Approach. One-Way. Cross-Species-Fostering. House mice onto house mice, prairie deer mice, or domestic Norway rats.. After weaning, tested in apparatus with access to tunnels scented like clean pine shavings, house mouse, deer mouse, or rat.. Registrar146s OfficeName Student ID ZLocal Address Phone Major Class Fr Fx0003x0003So Jr Fx0003x0003Sr Fx0003x0003Graduate IMPORTANT INFORMATIONA course that is re ANOVA makes assumptions about error for significance tests. What are the assumptions?. What might happen (why would it be a problem) if the assumption of {normality, equality of error, independence of error} turned out to be false?.