PPT-Repeated Measures ANOVA

Comparison of Task Completion Times of 4 Navigation Techniques and 2 Input Methods by 36 Subjects Source FG Wu H Lin M You 2011 The Enhanced Navigator for the Touch Screen A Comparative Study on Navigational Techniques of Web Maps . NR 245. Austin Troy. Based primarily on material accessed from Garson, G. David 2010. . Univariate GLM, ANOVA, and ANCOVA. . Statnotes. : Topics in Multivariate Analysis.. http://faculty.chass.ncsu.edu/garson/PA765/statnote.htm. 1. Inferior parietal involvement in long term memory. There is a hypothesis that different brain regions are recruited during recall processes. A distinction between recognition -> I remember details of learning how to calculate contrasts, like who taught me and why. and familiarity -> I have a vague notion that contrasts were described to me at some point.. The . Univariate. Approach. An ANOVA Factor Can Be. Independent Samples. Between Subjects. Correlated Samples. Within Subjects, Repeated Measures. Randomized Blocks, Split Plot. Matched Pairs if . k. 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?. Cohen’s . d. and Omega Squared. Jason R. Finley. Mon April 1. st. , 02013. http://. www.jasonfinley.com. /tools. ω. 2. DEAL WITH IT. Effect Sizes to use. Comparison of means . (. t. test):. Cohen’s . MICROECONOMICS. Principles and Analysis. . Frank Cowell . July 2015. 1. Almost essential . Game . Theory: Dynamic. Prerequisites. Note: the detail in slides marked “ * ” can only be seen if you run the slideshow. Christopher R. Seemann. The New School for Social Research. T-Tests. T-Tests & Repeated Measure T-Tests. Independent sample T-Test. H. 0. : The difference between groups = 0. H. 1. : The difference between groups ≠ 0. 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. 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. 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.. Department and Course Number eg MATH 095Class was first takenFallWinterSpringSummerYearGrade received Class was last taken FallWinterSpringSummerYearGrade receivedNamectcLink Identification Number Las ANOVA is comparison of means. Each possible value of a factor or combination of factor is a treatment.. The ANOVA is a powerful and common statistical procedure in the social sciences. It can handle a variety of situations..