CSSCR Courses

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Fall Sessions

Introduction to Stata
Instructor: Austin Gross
Date: Thursday, October 9
Time: 10:30AM to 11:20AM
Place: Savery 117

Learn the basics of Stata so that you can understand do/log files, reading help files, and how to write code in order to perform data cleaning and statistical analysis. No experience in statistical programming necessary.

Introduction to Stata, 2nd Session
Instructor: Austin Gross
Date: Thursday, October 9
Time: 12:00PM to 12:50PM
Place: Savery 117

See above description

Introduction to Rstudio
Instructor: Colin Beam
Date: Monday, October 13
Time: 12:00PM to 1:00PM
Place: Savery 117

This class will teach you how to get started with R using the free text editor Rstudio. The course will cover the basic organization of R and Rstudio, where to find good help references, and how to begin a basic analysis. This class is ideal for users who have little or no experience with R.

Introduction to Eviews
Instructor: Austin Gross
Date: Thursday, October 16
Time: 3:30PM to 4:30PM
Place: Savery 117

EViews is a statistical package for time-series and econometric analysis. This hour, I'll introduce you to the functions of loading and manipulating data, as well as running regressions.

SPSS, Stata, or R: Which Should You Use?
Instructor: Stephanie Lee
Date: Monday, October 20
Time: 12:00PM to 1:00PM
Place: Savery 121

This class provides a comparison of these three popular statistics programs and discussion of which is best for different types of research. No experience in any of the programs is necessary. (We can also talk a little about SAS, Excel, Matlab, SPlus, an d Python if participants wish.)

Introduction to SPSS
Instructor: Shin Lee
Date: Tuesday, October 21
Time: 10:30AM to 11:30AM
Place: Savery 121

This class introduces SPSS basic structure and layout. We will go over how to import, manage, and record data as well as do some descriptive statistics and simple analyses like t-test, correlation, and regression.

Format Your Thesis The Fun and Easy Way!
Instructor: Dixielynn Gleason
Date: Wednesday, October 22
Time: 8:30AM to 9:30AM
Place: Savery 121

This lecture will help you format your thesis/dissertation to conform with the UW Graduate School Style and Policy Guidelines for Theses and Dissertations.

Using the ACS (American Community Survey) Estimates
Instructor: Tina Tian
Date: Thursday, October 23
Time: 2:30PM to 3:40PM
Place: Savery 121

The Census Bureau's American Community Survey (ACS) is a great source for detailed population and household characteristics, giving estimates and margins of error (MOE) for many aspects of the American population. However, sometimes users must blend ACS results in order to arrive at the exact measure needed. In this class, we will explore some Excel-based templates containing several "calculators" that let users enter the published ACS estimates and MOEs from the Census Bureau to assess the precision of individual estimates, to compare pairs of estimates for their statistical differences, and to calculate the MOEs and Standard Errors (SEs) for summing/subtracting, proportion and ratios of estimates.

Basic Data Analysis in GAUSS
Instructor: Erica Clower
Date: Monday, October 27
Time: 1:30PM to 2:20PM
Place: Savery 121

This course provides an overview of conducting preliminary data analysis in GAUSS. It will cover data loading and saving, data visualization, data manipulation, and data statistics. No previous experience in GAUSS is necessary.

Introduction to GIS
Instructor: Will Brown
Date: Tuesday, October 28
Time: 11:30AM to 12:30AM
Place: Savery 121

This course will provide students with a broad overview of what geographic information systems (GISs) are and how social scientists can benefit from using them in their research. Students will explore basic GIS concepts through hands-on exercises using a widely used GIS software package (ArcGIS) and freely available data sets.

Introductory Programming Tools in GAUSS
Instructor: Erica Clower
Date: Tuesday, October 28
Time: 1:30PM to 2:20PM
Place: Savery 121

This course provides an overview of programming in GAUSS. We will cover basic programming tools such as looping, conditional statements, and debugging. In addition, the class will cover use of structures and writing personal functions.

Introduction to Qualitative Research using ATLAS.ti
Instructor: Carolina Johnson
Date: Monday, November 3
Time: 1:00PM to 2:00PM
ATLAS.ti is one of several software packages to assist with qualitative data analysis. This class will cover basic terminology and functionality of the program, including importing documents (text and other media types), coding and annotating documents, and exploring relationships through visual analysis and built-in analysis and query tools. We will also discuss best practices for data management, with particular attention to setting up a project for work within a collaborative team.

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