Past Events

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Past Events

Sep 20

SSRI~ Workshop: Qualitative Data Collection & Management

This workshop provides an introduction to a range of qualitative research methods as well as an overview of the strengths and weaknesses of each approach. Qualitative research methods, including in-depth interviews, focus groups, archival analysis, and participant observation, vary considerably in the resources and time required to execute them reliably, and in the types of data they generate. Which data collection techniques are appropriate to which kinds of research questions and projects, and how do you execute these methods well? How are issues of reliability and validity considered and weighed in qualitative research? We will also explore different ways of managing your data prior to commencing data collection in order to facilitate the transition to data analysis. Some time will be given to the role of NVivo software in facilitating data management and preparing for data analysis. Registration required; please click "more information" to access the registration form.

Sep 20

DVS Workshop: Data Visualization with Excel

"For many basic charts and graphs, Excel is one of the easiest ways to create a data visualization. Figuring out how to get Excel to produce exactly the chart you want, however, can be a bit of a headache. In this workshop, we will learn how to create and modify many different charts within Excel, in addition to learning how PivotTables can help arrange the data in the best way for the chart we want. Note: this workshop focuses on the charting capabilities of Excel and starts from a beginning level. While some experience with Excel is encouraged, this is not an advanced Excel workshop. Recordings of additional Excel workshops: Basic Data Cleaning and Analysis for Data Tables Advanced Excel for Data Projects"

Sep 20

DVS Workshop: Introduction to Stata

Stata for Research focuses on the core concepts of using Stata. This workshop provides a hands on overview of how to load, manage, and analyze data using Stata. The workshop will also include a brief introduction to Stata graphics as well. No previous experience with Stata is required.

Sep 18

DVS Workshop: Reproducibility: Data Management, Git, & RStudio

"In response to a growing focus on the importance of reproducibility, replication, and transparency in the research endeavor, scholars are adapting their practices and learning new skills and tools. This workshop will introduce some general data management strategies that can increase the reproducibility of your work. You will also learn through hands-on exercises how to harness two specific tools, git and RStudio, to support the execution of more reproducible research projects. Git is a powerful version control system and RStudio is an open-source statistical software program. No previous experience with Git or R is required for this workshop. 0x0A0x0ATo fully participate in this workshop, please bring your own laptop."

Sep 14

DVS Workshop: Easy Interactive Charts and Maps with Tableau

Tableau Public (available for both Windows and Mac) is free software that allows individuals to quickly and easily explore their data with a wide variety of visual representations, as well as create interactive web-based visualization dashboards. This workshop will focus on using Tableau Public to create data visualizations, starting with an overview of how the program thinks about data, common data manipulation and loading, and the terminology used. Activities will include a sample data visualization and mapping project, which will give people hands-on experience using Tableau's basic chart types and dashboard creation tools. We will also discuss publishing to the Tableau Public web server and related services and tools, like the full Tableau Desktop application (free for full-time students).

Sep 14

SSRI~ Workshop: Planning Research and Collecting Data

This workshop is designed for researchers who are planning to collect original data and considering how to select one or more methods for doing so. The workshop begins with a review of effective and clear research question formulation and proceeds to a discussion of the advantages and opportunities, as well as limitations of various data collection methods (and associated analytic techniques), including survey research, in-depth interviewing, ethnography, focus groups, and text analysis. In addition, the workshop will attend to logistical and theoretical considerations in implementing each of these research approaches. Registration required; please click the "more event information" button below to access the registration form.

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The Social Science Research Institute at Duke University is a part of Interdisciplinary Studies at Duke University.