CSSCR Courses



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Spring Quarter 2015

Intro 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: Tuesday, April 14
Time: 2:00pm-2:50pm
Place: Savery 121

Introduction to Qualitative Research and ATLAS.ti
Description: This course provides a brief introduction to computer software for qualitative data analysis, including a brief comparison of two options, ATLAS.ti and the cloud-based Dedoose. The class will then provide a practical introduction to working in ATLAS.ti, covering basic terminology and functionality of the program. This will include importing documents (text and other media types), coding and annotating documents, and exploring relationships through visual analysis and built-in analysis and query tools. Time permitting, we may also briefly discuss best practices for data management.
Instructor: Carolina Johnson
Date: Wednesday, April 22
Time: 12:30pm-1:20pm
Place: Savery 121

How to use the American Community Survey Estimates
Description: 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. We will also introduce the ACS Mapping extension in ArcGIS, a tool that can map/visualize ACS estimates along with their precisions, e.g. MOEs, SEs and Coefficient of Variation (CVs), and the tests of statistical significance among the estimates.
Instructor: Tina Tian
Date: Wednesday, April 22
Time: 3:30pm-4:20pm
Place: Savery 121

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: Tuesday, April 28
Time: 9:30am-10:30am
Location: Savery 117

Intro to R Base Graphics
Description: We will cover how to create graphs in R using the base graphics package, including how to set graphical parameters to customize graphs so they look better.
Instructor: Stephanie Lee
Date: Wednesday, April 29
Time: 2:30pm-3:30pm
Place: Savery 117

Intro to SPSS
Description: This course will cover the basics of the SPSS package. This is an ideal course for students with no experience with this software. We will cover the structure of SPSS and how to input, manipulate, analyze and show statistical data.
Instructor: Linda Liaw
Date: Thursday, April 30
Time: 1:30pm-2:20pm
Place: Savery 121

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: Thursday, May 7
Time: 1:30pm-2:30pm
Place: Savery 121

Intro to Stata
Description: This introductory Stata class will cover the working environment and structure of Stata. We will then cover basics of data management and finalize with simple examples of statistical analysis in Stata. No prior knowledge of Stata is necessary but basic understand of statistics would be helpful.
Instructor: Sergio Garcia
Date: Wednesday, May 13
Time: 1:30pm-2:20pm
Place: Savery 121

Intro to Excel
Description: In this hands-on course, you will learn the fundamentals of using Excel including: data entry, basic computation, elementary charts and graphs, and some statistical functions. Prior knowledge of Excel is not necessary.
Instructor: Katelyn Stickel
Date: Thursday, May 14
Time: 5:30pm-6:30pm
Place: Savery 135

R Graphics using ggplot2
Description: This class is an introduction to the popular graphics package ggplot2. We will discuss the structure of the ggplot2, including the basic elements of the underlying "grammar" and how plots can be built-up in a layered fashion. We will then use ggplot2 to produce number of different plots, such as line graphs, histograms, and boxplots. Attendees will be assumed to have basic familiarity with R.
Instructor: Colin Beam
Date: Tuesday, May 19
Time: 12:00pm-1:00pm
Place: Savery 121

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