Statistics for Everyone Workshop -- Advanced topics! **2 day workshop June 13th and 14th

Monday, June 13, 2011
9:30 AM - 4:15 PM
CNS 304

Advanced Statistics: Comparing Multiple Conditions and Multiple Variables: One-way and two-way ANOVAs Presented by Prof. Laura McSweeney, Department of Mathematics and Computer Science and Prof. Linda Henkel, Department of Psychology Monday, June 13 and Tuesday, June 14, 2011 CNS 304 Sponsored by NSF CCLI Grant and the Center for Academic Excellence Summary: Please join us for a new Statistics for Everyone workshop for faculty interested in learning more about complex research designs, with an emphasis on statistical analyses for designs with 3 or more levels of an independent variable (one-way analysis of variance) and designs with 2 or more independent variables (factorial designs; two-way ANOVA). This workshop can accommodate faculty who have some background in quantitative reasoning and statistical thinking as well as faculty who are familiar with these statistical tests but are uncomfortable communicating such information to students. This two day workshop is open to faculty who are interested in introducing and using statistics in their courses (core, major and student research) and in furthering their own understanding of these types of analyses. Lunch and materials will be provided, in addition to a $200 stipend for the 2-day workshop. The workshop will be conducted by Laura McSweeney and Linda Henkel, who regularly teach statistics courses in our Mathematics and Psychology Departments and are co-Directors of the Quantitative Reasoning Pathway in the Core Integration Initiative. The goal of the workshop is to provide background and resources for faculty so that they learn how to integrate statistics and statistical thinking into their courses. Faculty can contribute examples from their field and will have the opportunity to develop a statistics-based module for a course they currently teach. Through handouts, lectures, discussions, hands-on exercises, and technology, this workshop will provide important information and valuable resources so that faculty can more confidently integrate statistics into their specific classes. All statistical analyses will be done using SPSS. We are happy to provide access to resources before, during, and after the workshop to people interested in learning more about using SPSS for their own work and with students. OVERVIEW OF WORKSHOP Day 1: Part 1. Introduction to SPSS; Summarizing and graphing data; descriptive statistics Part 2. One-way ANOVA and follow up tests (planned comparisons; post hoc tests) Day 2: Part 3. Two-way ANOVA Part 4. Development of statistics module for class or student research Each day consists of two 3-hour sessions, broken up by lunch Part 1. Statistics as a Tool in Scientific Research: Summarizing and Graphically Representing Data A. Getting Descriptive Statistics from SPSS (hands on exercise) B. Summarizing numerical information in tables C. Creating bar graphs and line graphs in SPSS and in Excel (hands on exercise) Part 2. Comparing 2 or More Conditions With a One-Way ANOVA A. Types of One-Way ANOVA: Independent samples F test and repeated measures F test for main effect B. When to use, how to run, how to interpret and report C. Hands-On Exercise: Running One-Way ANOVA Using SPSS Part 3. Comparing 2 or More Independent Variables Using a Two-Way ANOVA A. Types of Two-Way ANOVA: Independent samples, repeated measures, and mixed factorial; understanding main effects and interactions B. When to use, how to run, how to interpret and report C. Hands-On Exercise: Running Two-Way ANOVA Using SPSS Part 4. Optional Hands-on Exercise: A. Develop a teaching module for one of your courses to integrate statistical reasoning (work on individually or in small group) B. Share exercise with other participants