SOC Short Course schedule for 2018-19 will be updated in September.

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.

Introduction to SPSS files

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 SPSS experience is recommended as the basics (i.e. inputting data, data manipulation) will not be covered.

FileHandout

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.

Intro to SAS video

PDF iconHandout

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Office spreadsheet iconEXCEL file

Microsoft Office document iconSAS Code Examples

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.

FileANOVA Handout

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.

FileHandout

Plain text iconMock Data - Private Schools

Plain text iconMock Data - Public Schools

Plain text iconBy Example Data

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!

Introduction to R files

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.

Microsoft Office document iconR Graphics Handout

FilePractice Data

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Plain text iconInstructor's Answers

This course is for researchers 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 one free software option for calculating power (G*Power).

PDF iconPresentation (PDF)

Qualtrics is an online survey and data collection software which has been purchased by the University of Iowa and is available for faculty, staff, and students to use at no charge.

This short course will be of interested to anyone curious about what Qualtrics has to offer, or planning to use Qualtrics. Specifically, we will cover getting started with Qualtrics, designing a survey, distributing a survey, analyzing data in Qualtrics, and exporting Qualtrics data to another software program.

The UI High Performance Computing (HPC) group Is focused on providing researchers with tools to solve computationally intensive problems. HPC systems allow massive amounts of data to be analyzed in a timely manner or large scale simulations to be successfully completed. Analyses that might take a day on your desktop computer can be accomplished in a fraction of the time.

Two common types of projects that may benefit from use of the HPC system are projects involving a massive amount of data (e.g., time sensitive data collected on all the rivers in Iowa, repeated measures brain scan data from Huntington’s Disease patients) and projects involving simulating data to model complex processes (e.g., improving the prediction of air pollution levels).

More information about the regular workshops they offer and the application process for an account can be found at the HPC website or by contacting hpc-sysadmins@iowa.uiowa.edu.