PPT-Statistical power in experiments in which samples of partic

Jake Westfall University of Colorado Boulder David A Kenny Charles M Judd University of Connecticut University of Colorado Boulder Studies involving participants . Process . Control. W. Edwards Deming . The . main message of . Deming’s 14 items list . is that poor . quality occurs . as a result of the system and so should be corrected by the . management.. Deming . PSY505. Spring term, 2012. April . 11, . 2012. Today’s Class. Power Analysis. Statistical Power. Power Analysis. A set of methods for determining. The probability that you will obtain a statistically significant result, assuming a true effect size and sample size of a certain magnitude. Effect Size & Statistical Power. 1. 1. Effect Size. How “meaningful” is the significant difference?. 1. KNR 445. Statistics. Effect sizes. Slide . 3. Significance vs. meaningfulness. As sample size increases, likelihood of significant difference increases. S. tatistics in EBM. Rafael Perera. Basic teaching advice. Know your audience. Know your audience!. Create a knowledge gap. Give a map of the main concepts. Decide which ones to focus on. Use plenty of examples. Dr. .. Richy Hetherington. and Dr. . Kim Pearce. Introductions . Today’s Session. Run a live Experiment . Discussion of considerations when setting up experiments. Analyse the results of our experiments with thoughts on what to look out . . . What is Experimental Design. Does knuckle-cracking cause arthritis in hands?. It is well claimed by many that continuous cracking of knuckles could lead to development of arthritis in your finger joints later in life.. Naomi Altman. Penn State. 2015 . Dagstuhl. Workshop. Some topics that might be interesting. Feature matching across. samples and platforms. Preprocessing. number of features >> number of samples . Dr. . Richy Hetherington. and Dr. . Kim Pearce. An Experiment. “The action of trying anything, or putting it to proof; a test, trial”. Oxford English Dictionary . . My Life as a Turkey. Book . David . Mease. & . Abraham . Wyner. What is the Statistical View? . The idea presented in . J. . Friedman, T. Hastie, and R. . Tibshirani. . Additive logistic regression: A statistical view of boosting. Annals of Statistics, 28:337–374, . 2011/2012. M. de Gunst. Lecture. 7. Statistical Data Analysis. 2. Statistical Data Analysis: Introduction. Topics. Summarizing data. Exploring . distributions . Bootstrap . Robust methods. Nonparametric tests (continued). : . Using Microsoft Excel for . Univariate. and Bivariate Analysis. Alfred P. Rovai. Hypothesis Testing. PowerPoint Prepared by . Alfred P. Rovai. Presentation . © . 2015 . by Alfred P. Rovai. Microsoft® Excel® Screen Prints Courtesy of Microsoft Corporation.. Qualitative vs Quantitative. Experiments vs Quasi-Experiments. Goals For Today. Help you read more efficiently for classes like this one. Help you understand the value of both quantitative and qualitative research. Larry Leamy. Department of Biology. University of North Carolina at Charlotte. Charlotte, NC 28223. INTRODUCTION. In designing experiments, need to know what number of individuals would be optimal to detect differences between groups (typically a control versus treatment groups).. Rafael Perera. Basic teaching advice. Know your audience. Know your audience!. Create a knowledge gap. Give a map of the main concepts. Decide which ones to focus on. Use plenty of examples. Let them do the work/thinking.