Events

We usually hold research colloquia and software workshops on Fridays and Saturdays, but there may be variations.  Please take note of the dates and times for the particular events.

Up-Coming Presentations and Workshops:

Pursuing a Data Science Position in Academia

Dr. John Geldhof and Dr. Terrence Jorgensen
Friday, November 9, 2018 -
12:00pm to 1:00pm
Watson Library, Room 455

This colloquium is made possible through a partnership with the Psychology Department. Pizza and drinks will be provided. 

 John Geldhof, is an Assistant Professor in Human Development and Family Sciences under the College of Public Health and Human Sciences at Oregon State University. He graduated in 2012 with his PhD in Psychology from the University of Kansas.  His research interests include positive youth development, self-regulation and latent variable modeling. He will be giving his feedback regarding his choice and experiences in pursuing a career in academia. This talk will cover the job search and application process, as well as the responsibilities and experiences John has had as a professor, and the benefits (and limitations) of his education as they pertain to his current role. 

 Terrence Jorgensen, is an Assistant Professor in the Research Institute for Child Development and Education at the University of Amsterdam. He graduated in 2015 with his PhD in Psychology from the University of Kansas. His research interests primarily involve structural equation modeling (SEM), multilevel modeling, nonparametric methods, and modern missing data methods.  His methodological research interests include psychometrics (namely, testing measurement equivalence / invariance and detecting differential item functioning [DIF] / measurement bias), resampling methods (permutation, bootstrap, Monte Carlo simulation), Bayesian inference, planned missing data designs and statistical programming. Terrence frequently intermingles these interests; for example, his dissertation research investigated the use of small-variance priors in Bayesian SEM for detecting DIF, and he's currently developing permutation-randomization methods for detecting DIF.  More recently, he has been using Bayesian methods to model social network data from a multilevel-modeling approach, developing methods to handle missing data in this framework and incorporating multiple-indicator measurement models into the social relations model. He also maintains two R packages (semTools and simsem) and contributes to two other R packages (lavaan and blavaan), which are all devoted to SEM in R. He will discuss his journey to becoming an Assistant Professor by going abroad and providing suggestions on what aspiring students may want to consider in order to successfully become a professor overseas. Further, he will provide insight into what tools, techniques, and experiences students should consider when planning to pursue a career in academia. 

 
Questions and active discussion are strongly encouraged.
Weekly Colloquium

Workshop: Learn Markdown and Stationery Package for R

Paul Johnson, CRMDA Director
Saturday, November 10, 2018 -
1:00pm to 4:00pm
Watson Library, Room 455

Markdown (https://daringfireball.net/projects/markdown) is a new way to prepare documents.  It has been growing in popularity, especially since the R packages knitr and rmarkdown were introduced.  It is possible now to write markdown documents that incorporate R input and output.  CRMDA has prepared an R package called "stationery" that provides eight skeleton documents and working examples prepared with markdown and/or LaTeX.

The package includes four longer documentation vignettes:

  1.  Stationery (package overview)
  2. Code chunks (R code in documents"),
  3. R markdown (notes about R markdown and customizing it)
  4. HTML special features (perils and promise of HTML output)

This Workshop will address several questions listed below:

  1. What can markdown give us "off the shelf"?
  2. How can we customize documents to have distinctive look-and-feel?
  3. Does stationery help?
  4. What are the major limitations of using R markdown as a document preparation front end?

Spoiler Alerts! Stationery includes example templates for informal "guides" and more formal "reports." We have experienced many of the challenges and shortcomings which will also us to demonstrate our solutions and point to some "what not to do" examples.  To demonstrate a result, we have retrofitted our HTML guide about using R's data.table package in the new markdown style: 

http://crmda.dept.ku.edu/guides/40.R_data.table/writeup/40.data_table_pool.html.

 

 

Saturday Seminar

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