The D-Lab is proud to present our new brown bag series, "How We Did It", a bi-weekly, hour-long presentation on specific topics from quantitative data cleaning to best practices for entering the field for participant observation. Each brown bag will feature a short presentation/demonstration on techniques followed by an informal question and answer/comment session.
The goal of the series is to provide instruction and information on more specific topics and foster methods-specific community building.
We welcome graduate students from all disciplines at all stages of research.
Thu, March 31, 2016 - 12:00 PM: Text Analysis and Coding with RQDA
Our next Brown Bag in the "How we did it" series, Jeff Gordon will cover an example of how R can be used for qualitative data analysis through "RQDA." This presentation will show an example of qualitative data coded with RQDA. Using a sample of scraped documents, the researcher coded and assigned tags and notes to the data including both "attributes” (i.e. objective metadata) and “codes” (i.e. analytic categories), which can be assigned to individual documents or collections of documents. The presentation will also highlight some of RQDA's analysis tools.
Thu, March 3, 2016 - 12:00 PM: Quantitative Data-Cleaning Techniques
Quantitative Data-Cleaning will cover reasons why one might need cleaning procedures, things to consider and preliminary techniques for identifying and addressing issues related to data-entry, data-error or missing data. The demonstration will cover analytic techniques for assessing the quality of the data prior to starting uni-, bi-, multi-variate and causal analyses.
