[Pols-announce] FW: Summer Stats Camp Enrollment

[Haider-Markel, Donald Patrick]

FYI

-----Original Message-----
From: CRMDA-Admin Assoc <admin-crmda at ku.edu> 
Sent: Friday, April 26, 2019 11:41 AM
Dear Chairs

Will you please remind your faculty and students that we are offering the Summer Statistical Institute in May/June. There are plenty of seats.

We have an avenue through which departments can pay for students to enroll.  We ask the students to provide the name of the party in your department that is responsible for invoices.  Because this uses state funds, the price-per-day is lower than if the students pay out of their own pockets.  I'm told that some departments have unspent end-of-year monies that could be put to use.

Full topic listings and details are posted on the CRMDA website

<http://crmda.ku.edu/statscamp>.

Registration is open!

We are partnering with the Achievement and Assessment Institute this year.
We are welcoming Jake Thompson, PhD, (who is a psychometrician in the Achievement and Assessment Institute) as a presenter for the R sessions.
During Python Week, Jacob Fowles, PhD (from the School of Public Affairs and Administration) will be a primary presenter, along with Jon Lamb, PhD (from the Department of English).

Week 1: May 20-24. Using R.  Covers the basics of interacting with R, importing data, creating graphics, and conducting statistical analysis.
This year, we are introducing strategies for reproducible research and reproducible documents, including R markdown.

Week 2: May 28-31. Python Data Science. Covers the basics of interacting with Python, including how to navigate around Jupyter Notebooks, working with text data, using Pandas and scraping Internet data.

Week 3: June 3-7.  Structural Equation Modeling. The SEM overview will be offered by Professor Ed Merkle of the University of Missouri.
The "SEM example" archive created by CRMDA
(https://gitlab.crmda.ku.edu/crmda/semexample) will be introduced. The structural equations material, for the most part, uses R (and some
M/plus/) and it builds on the R modeling concepts discussed during the first week of the workshop. Sessions will move into more advanced SEM topics, such as missing data techniques and models for ordinal data.

-- 
Paul E. Johnson			University of Kansas	     	
Professor			Director, Center for Research
Political Science		Methods & Data Analysis (CRMDA)
http://pj.freefaculty.org	http://crmda.ku.edu
email: pauljohn at ku.edu
Address: CRMDA
	 Watson Library, Suite 470
	 1425 Jayhawk Blvd.	
    	 Lawrence, Kansas
  	 66045-7594
   	 Ph: (785) 864-8215