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Spring 2020 Workshops

  • Introduction to Stata I (first of a 3 or 7 workshop series) 
    • Location and registration required for the 3 workshop series at http://bit.ly/stataSpring2020
    • Location and registration required for the 7 workshop series http://bit.ly/dataSeriesSpring2020
      • Offered 3 times: Sun, Jan 26 4-6:30pm --- Mon, Jan 27 4:30-7pm --- Wed, Jan 29 4:30-7pm 
      • This introductory session is based on a survey conducted on workshop participants. We cover the basics of opening files, running commands, creating summary statistics and graphics, dealing with outliers, manipulating variables, and labelling variables. We also work through how to deal with errors (which are inevitable, but manageable, in any statistical package). This will be hands on, practical experience: each participant will be using the program in real time.
  • Introduction to R 
    • Register at http://bit.ly/introRspring20
    • Offered 2 times: Sun, Feb 9 7-9pm --- Tue, Feb 11  4:15-6:15pm
    • We cover the basics of opening files, running commands, creating summary statistics and graphics, dealing with outliers, and manipulating variables. We apply these skills to the R package antitrust. We also work through how to deal with errors (which are inevitable, but manageable, in any statistical package). This will be hands on, practical experience: each participant will be using the program in real time.
  • Introduction to Interpreting Regressions
    • Location and registration required at http://bit.ly/regressionsS20
    • Offered 3 times: Mon, Feb 3 4:15-6:15pm --- Tue, Feb 4 12:45-2:45pm --- Wed, Feb 5 7-9pm
    • Many books and papers present regression results to support their arguments. There are some simple ways to scan these tables that let you quickly understand the main points and common pitfalls. We cover how to read regression tables and graphs efficiently, what the numbers for coefficients and statistical significance mean, and common ways regressions are misused.
  • Manipulating and Analyzing Data (2nd of the 7 workshop series, or a standalone)
    • Location and registration required at http://bit.ly/excelSpring2020
    • Offered 2 times: Sun, Feb 9 4-6pm --- Mon, Feb 10 4:30-6:30pm 
    • Using a dataset on county demographics, presidential voting, and deaths of despair, this workshop covers (1) how to use Excel more effectively, (2) which tasks Excel can perform better than a statistical programming package such as R, SPSS, or Stata, and (3) how to organize data effectively. 
  • Manipulating and Analyzing Data in Stata  (3rd of the 7 workshop series)
    • Location and registration by attending prior Stata/Excel workshops or instructor permission
    • Offered 2 times: Offered 2 times: Sun, Feb 23 4-6pm --- Mon, Feb 24 4:30-6:30pm 
    • This workshop covers (1) the importance of the unit of observation for understanding how to manipulate data, (2) merging multiple datasets, (3) reshaping data to change the unit of observation, and (4) collapsing data to a higher unit of observation.
  • Where to Find Data
    • Location and registration TBA
    • Offered March 2-7
    • Many research ideas are generated by creating questions answerable by existing data sources. We cover some common data repositories, navigating these sources, and searching for specific questions in surveys. We also create graphics in  Google Sheets to summarize public opinion data.
  • Introduction to Stata II (2nd of the 3 workshop series, 4th of the 7 workshop series)
    • Location and registration by attending Intro to Stata I or instructor permission.
    • Offered thrice: Sun, March 22 4-6:30pm --- Mon, March 16 4:30-7pm --- Wed, March 18 4:30-7pm 
    • Using a dataset on county demographics, presidential voting, and deaths of despair, this workshop covers several additional basics of data analysis. This includes scatterplots, boxplots, standard errors/standard deviations/the normal distribution, and the fundamentals of developing useful theories. 
  • Manipulating and Analyzing Data in Stata  (5th of the 7 workshop series)​​​​​​​
    • Location and registration by attending Intro to Stata II or instructor permission
    • Offered 2 times: Mon, March 30 4:30-6:30pm​​​​​​​--- Sun, April 12 4-6pm​​​​​​​
    • This workshop builds on the prior workshops in the 7 workshop series. It covers the basics of loops, the importance of documenting your work and version control, and creating codebooks for your data. We also touch on more advanced techniques and tricks for processing data, including fuzzy matching, looping through files, systematically renaming variables, regular expressions, and invisible characters.​​​​​​​
  • Introduction to Stata III (3rd of the  3 workshop series, 6th of the 7 workshop series)

    • Location and registration via attendance at prior workshops or instructor permission.

    • Offered 3 times: Sun, April 5 4-6:30pm --- Mon, April 6 4:30-7pm --- Wed, April 9 4:30-7pm ​​​​​​​

    • Using a dataset on county demographics, presidential voting, and deaths of despair, this workshop covers how to use Stata to create regressions, test regression assumptions, manipulate data to make it satisfy regression assumptions, and understand model specification and interaction terms. 

  • Data Analysis through Visualization  (7th of the 7 workshop series, or a standalone workshop)

    • Location and registration required at http://bit.ly/dataVizSpring2020

    • Offered 2 times: Sun, April 19 4-6:30pm --- Mon, April 20 4:30-6:30pm ​​​​​​​

    • Data visualization is a powerful tool to communicate a point, but can also be misused. We cover how to create maps and basic descriptive images in R, and show how they can be manipulated to deceive. Panera provided.