Dealing with Messy Data for the Social Sciences and Humanities Pt. 2

This is a comprehensive 3-part workshop series that teaches students the concepts, techniques, and procedures required to take raw, unprocessed data and put them into a form where they can be analyzed to test hypotheses and answer research questions. 

Topics include but are not limited to the following:

1) techniques and strategies for managing missing data (e.g., bootstrapping, hot deck imputation)

2) characteristics and statistical distributions of variables (i.e., normal distributions, skews, identifying true statistical outliers, statistical assumptions) 

3) transforming data and variables

4) coding, labeling, and calculation of variables

5) visualization of data and variables 

6) qualitative (text, images, video, audio) and quantitative (numeric) variables 

Register Here for Part Two!


*Starts Wednesday, September 12th, 6-8:30pm and then runs for a total of three evenings:

a) Part one, Sept. 12th

b) Part two, Sept. 19th

c) Part three, Sept. 26th


Sponsored by the Digital Communication Analytics Master's program at the Mayborn School of Journalism

Contact Name: 
Dr. Valarie Bell
Contact Email:
Event Date: 
Wednesday, September 19, 2018 - 6:00pm to 8:30pm
Event Location: 
Willis Library, 136