PPT-Chapter 13: Effect Sizes and Power

statistically significant does not mean important IQs of UW undergraduates Suppose we measured the IQs of 10000 UW undergraduates and found a mean IQ of 1003 If we were to conduct a onetailed ztest to determine if this mean is . The A Series paper size chart to the right gives a visual explanation of how the sizes relate to each other for example A5 is half of A4 size paper and A2 is half of A1 size paper Table of Paper Sizes From 4A0 to A10 Size Height x Width mm Height x Large-scale weather pattern Howlake - effectsnowstormsdevelop effect How precipitation organizes within the storms The Great Lakes Snow Belts The large cities of Syracuse, Rochester, Buffalo, Clevelan Size. Robert Coe . @. ProfCoe. ResearchED. . 2013, Dulwich College, 7 Sept 2013. 2. The case for using effect size. What . is Effect Size? . The case for using effect size . (5 reasons). Problems in using effect size . 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 . Statistical Power and Optimal Design Principles for Improving the Efficiency of Psychological Research. Jake Westfall . (University of Colorado Boulder). PANGEA: A web . application. . for. power analysis in . Laura . Chioda. World Bank. 1. Outline. Ingredients of a general recipe called “Statistical Sampling Theory” . Key message. : a successful design involves some guess work. It is important to have a general rule, but then needs discussion depending on the case at hand. Joel R. Levin. University of Arizona. *Based, in part, . on . Kratochwill. , T. R., & Levin, J. R. (2014). Meta- and statistical analysis of single-case intervention research data: Quantitative gifts and a wish list. . . . It’s all in the mind. Mia Uy . Mr. Nadal, Rm 303. What Is The Placebo Effect? . . . . and SCD Meta-Analyses. William R. Shadish. University of California, Merced. Borrowing liberally from coauthored work with Larry Hedges, David . Rindskopf. , James . Pustejovsky. , . Kristynn. Sullivan, Jonathan . Pam Davis-Kean. Methods Hour. January 20, 2017. I collected my data, I ran my analyses, and nothing is significant. . What . do I do?. Common . Question. Recommendations for Strong and Rigorous Research. Office of Methodological & Data Sciences. November . 13, 2015. Sarah Schwartz. www.cehs.usu.edu/research/omds. Quantitative Research. Research Question. Clear, focused & concise question that drives the study. Hao. . Zhou & David . Dueber. February 6, 2017. Applied Psychometric Strategies Lab. Applied Quantitative and Psychometric Series. Outline. Fake real life research scenario. Significance testing and statistical errors. Example: . Suppose you wanted to test the drug that may affect IQ, but this time you look for changes within each subject. This is done by measuring the IQ for each subject before and after taking the drug. For 9 subjects, you might get a result like this: . Power Is. The conditional probability. that one will reject the null hypothesis. given that the null is really false. by a specified amount. and given certain other specifications such as sample size and the criterion of statistical significance (alpha). .