PPT-Lab 2: repeated measures ANOVA

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 gt I remember details of learning how to calculate contrasts like who taught me and why and familiarity gt I have a vague notion that contrasts were described to me at some point. 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. One - Analysis of Variance (Within - Subjects ANOVA) SPSS for Windows 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 . Cal State Northridge. . 320. Andrew Ainsworth PhD. 2. Major Topics. What are repeated-measures?. An example. Assumptions. Advantages and disadvantages. Effect size. Psy 320 - Cal State Northridge. 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. ANOVA. . (GLM 5). Chapter . 14. Mixed ANOVA. Mixed. :. 1 or more Independent variable uses the same . participants (repeated measures). 1 or more Independent variable uses different . participants (between subjects). (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. 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. Department of Applied Mathematics & Statistics. Stony Brook University. Review of . (the non-repeated measures) . ANOVA. 2. Review of ANOVA. The One-way ANOVA we have just learnt can test the equality of several population means.. Why is starch agar used?. -To see if saliva was present and broke down the starch.. Positive control . –used to show what the change looks like. Negative control. – used to what no change looks like. LM ANOVA 2. 2. Example -- Background. Bacteria -- effect . of temperature (10. o. C & 15. o. C) and relative humidity (20%, 40%, 60%, 80%) on growth rate (cells/d. ).. 120 . petri . dishes with a growth .