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Weighting

This workshop will cover the main types of weighting, to correct for bias in sample data. These types of weights are designed to compensate for different selection probabilities, to correct for non-response, and to post-stratify data to match the demographic distributions found in census data or other criterion distributions.  The effect of weighting on the size of confidence intervals will also be discussed.

Introduction to Sampling

This workshop will cover the basic principles and methods of sampling.  Topics will include a discussion of the various types of samples,  the creation of sampling frames, the use of stratification, and basic methods of selecting samples.  Determining an appropriate sample size will also be discussed.

Introduction to SDA (Survey Documentation and Analysis)

SDA is a set of programs for the documentation and Web-based analysis of survey data.  It is a useful tool for the online exploration and analysis of survey data.  This workshop will illustrate the basic features of SDA, using several of the many large datasets available for online analysis with SDA.  Datasets to be used include the General Social Survey, the American National Election Study, the National Health Interview Survey, and various census datasets.

Participants should bring their own laptop computer.

Building an Online Project with Drupal

A two-part, two-hour workshop for faculty, graduate students, and staff who want to start a digital project that includes a web presence.

Day 1

The first part will cover how to set up and configure a basic Drupal site using free hosting, and how to develop well-structured "content types" to store whatever data your project is working with (poems, verbs, quotes from a novel, excerpts from documents, historical events, etc.)

Working with Textual (String) Data in Stata: Regular Expressions

This 2 hour workshop will cover the use of regular expressions within Stata. Regular expressions are a powerful way to search for patterns within textual data. They can also be used to manipulate and clean textual datasets. We will start by constructing regular expressions and then develop regular expressions to look for patterns of data within a Stata dataset. Familiarity with regular expressions is not required, but basic knowledge of Stata is required.

Digital Humanities Working Group

D-Lab coordinates and collaborates with the Townsend Center's working group on the Digital Humanities, an interdisciplinary group focused on the application of digital methods and computing technologies to humanities research. The goal of the Digital Humanities working group is to provide a way for all the digital humanities groups on campus to unite with each other, keep each other abreast of current trends and new methods, and exchange ideas. 

Introduction to R

This 2-hour workshop introduces the basics of data analysis in R, a powerful and free open-source programming environment. You will learn the core properties of the R programming language through step-by-step examples and scaffolded exercises with data provided by the instructor. At the end of the workshop you will be able to import, analyze, manipulate, and save data sets, and create simple plots of the data.

Introduction to R

This 2-hour workshop introduces the basics of data analysis in R, a powerful and free open-source programming environment. You will learn the core properties of the R programming language through step-by-step examples and scaffolded exercises with data provided by the instructor. At the end of the workshop you will be able to import, analyze, manipulate, and save data sets, and create simple plots of the data.

D-Lab Orientation - MIMS

For the new MIMS cohort in the I-School. We'll be at the lunch - come talk with us. Please contact the department for details.

D-Lab Orientation - History

For the new graduate cohort in History. Please contact the department for details.

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