|
Statistics Outreach Center (SOC) Short Courses Spring 2012 Unless otherwise noted, all courses are held on Tuesday evenings from 6-8 pm in N186 Lindquist Center February 14 : Introduction to SPSS This course is designed for beginning SPSS users, and provides a basic introduction to SPSS. The topics covered in this course include introducing users to the SPSS for Windows environment, creating or importing a dataset, transforming variables, calculating descriptive statistics, and an overview of common SPSS procedures used in data analysis. Handout
Employee data (EXCEL)
Employee data.sav.remove (SPSS data file, you must save the file and then remove the extension ".remove.txt") February 28: Introduction to SAS This course is for those interested in getting started with SAS or beginner SAS users who want to brush up their elementary SAS skills. Topics covered include introduction to the SAS environment, importing and exporting data, creating SAS datasets, components of a SAS program, and an overview of common SAS procedures used in data analysis. Handout
Text file
EXCEL file
SAS Code Examples March 6: SAS Tips & Tricks This course is designed for persons with at least a basic understanding of SAS. It is designed to highlight procedures, options, and shortcuts that make data formatting, manipulation, and processing easier. Examples will showcase the tips and tricks presented and hopefully everyone will come away having learned something new. Handout
Mock Data - Private Schools
Mock Data - Public Schools March 20: Introduction to R This course introduces the novice R user to fundamental functions in R, such as how to import/export datasets, manage data in R, plot basic graphs, and perform simple statistical operations and tests. No previous experience with R is required. This course is designed to give students the tools they need to embark on their R journey and perform their own statistical analyses! Handout
Script File
Instructor's Answers
Practice Data If you have any questions regarding the Short Courses, please feel free to e-mail Shalini Kapoor (shalini-kapoor@uiowa.edu), Paula Cunningham (paula-cunningham@uiowa.edu), or Sheila Barron (sheila-barron@uiowa.edu). Notes From Previous Courses SAS Regression / ANOVA This course is designed to teach a variety of ANOVA and Regression methods common in the social and psychological sciences. Many of the options associated with these methods will be highlighted, including post hoc analyses and basic scatter plots. Some SAS experience is required as the basics (i.e. inputting data, data manipulation) will not be covered. ANOVA Handout
ANOVA Script file Advanced graphics in R This course introduces R users to the more advanced graphical capabilities R has to offer, such as how to draw arrows, shade shapes in plots, add Greek letters/special symbols to plots, and use more specialized plotting packages. This course assumes some familiarity with R, but novice R users curious about R's plotting potential are also welcome! The interactive modules in this course help students learn how to "prettify" their plots and make them publication ready. R Graphics Handout
Practice Data
Script File
Instructor's Answers
Practice Data Power and Sample Size This course is for students who think there may be a power analysis in their future. We will begin with a brief review of the meaning of statistical power and its relationship to study design and sample size. We will go on to cover software options for calculating power (some free, others not). Presentation (PDF)
|