CSSCR Courses



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Winter 2016

Introduction to SPSS

Description:

In this class we will go over how to begin using SPSS: how to read in data, how to explore and transform your variables, and some examples of data analysis and graphics.

Instructor: Myong Hwan Kim
Date: Tuesday, January 19, 2016
Time: 11:30am to 12:20am Place: Savery 117
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Introduction to Eviews

Description:

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.

Instructor: Laine Rutledge
Date: Wednesday, January 20, 2016
Time: 1:30pm to 2:20pm Place: Savery 121
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Introduction to Stata

Description:

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.

Instructor: Stephanie Lee
Date: Friday, January 22, 2016
Time: 12:00pm to 12:50pm Place: Savery 121
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Introduction to simcf and tile packages in R

Description:

Regression analysis is common across the social sciences. However, translating regression coefficients and our uncertainty about them into accessible conclusions about our real quantities of interest can be a challenge. simcf and tile are two complementary R packages developed by Political Science/CSSS professor Chris Adolph to more effectively report inference from regression models. This short course provides an overview of the logic and implementation of using simcf to summarize model estimates and tile to produce approachable graphical presentations of estimates. This course assumes basic familiarity with R programming and regression.

Instructor: Carolina Johnson
Date: Wednesday, January 27, 2016
Time: 1:30pm to 2:50pm Place: Savery 121
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Introduction to ATLAS.ti: Conducting Literature Reviews

Description:

This class will demonstrate how to conduct literature review using a qualitative data analysis software called ATLAS.ti, which help users collect, code, and annotate documents. This class is ideal for researchers who wish to explore new ways of organizing their literature.

Instructor: Myong Hwan Kim
Date: Monday, February 1, 2016
Time: 1:30pm to 2:20
Place: Savery 121
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Introduction to GIS

Description:

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 ArcGIS, a widely used GIS software package, as well as freely available data sets.

Instructor: Will Brown
Date: Wednesday, February 3, 2016
Time: 1:30pm to 2:20pm Place: Savery 121
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Intermediate SPSS

Description:

This class will begin by briefly reviewing basic SPSS usage (data input, selection, recoding, descriptive analysis). We will then look at running cross-tab, t-test, correlation, and basic regression analyses.

Instructor: Myong Hwan Kim
Date: Wednesday, February 10, 2016
Time: 2:00pm to 2:50pm Place: Savery 117
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Data wrangling in R

Description:

This course will cover some of R's useful tools for data management and exploration. Most of class will be devoted to learning Hadley Wickham's excellent tidyr and dplyr packages. Attendees will be assumed to have basic familiarity with R. Yeehaw!

Instructor: Colin Beam
Date: Monday February 22, 2016
Time: 3:00pm to 3:50pm Place: Savery 121
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Introduction to SAS

Description:

This introductory class will cover basic features and some data analysis procedures of SAS. The topics include: an overview of the SAS system; how to read/enter data, modify, explore and manage data; as well as some statistical procedures for regression analysis, such as general linear model and logistic regression.

Instructor: Tina Tian
Date: Wednesday, February 24, 2016
Time: 2:00pm to 3:15pm Place: Savery 121
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Introduction to IRTPRO

Description:

IRTPRO is a program used for item calibration and item scoring based on Item Response Theory (IRT). This course will offer an explanation of IRT and an overview of the use of Maximum Likelihood (ML) procedures for item parameter estimation. This will be followed by a step-by-step tutorial for running the three most common types of models: Rasch/1PL, 2PL, and 3PL, plus a brief introduction to Differential Item Function (DIF) analysis if time allows.

Instructor: Gabriella Silva Gorsky
Date: Friday, February 26, 2016
Time: 1:30pm to 2:20pm Place: Savery 121
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Intermediate SPSS

Description:

This class will be a brief review of basic SPSS usage (data input, selection, recoding, descriptive analysis), and then we will look at cross-tab, t-test, correlation and regression analyses. I'll show you both GUI (drop-down menus) and Syntax usage of the SPSS package.

Instructor: Shin Lee
Date: Friday, February 26, 2016
Time: 2:30pm to 3:20pm Place: Savery 121
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Event History Analysis in SAS

Description:

This course is a hands-on introduction to the survival analysis tools in SAS. Topics covered will include life tables (LIFETEST), parametric models (LIFEREG),and the semi-parametric Cox proportional hazards model (PHREG).

Instructor: Darryl Holman
Date: Wednesday, March 2, 2016
Time: 2:00pm to 3:20pm Place: Savery 121
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Other Seminars

The Qualitative Multi-Method Research Initiative (QUAL) is offering a series of qualitative methods seminars. These seminars are open to the UW community.

All seminars are on Thursdays from 10:30am to 12:20pm in Savery 121.



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