Andrew Zieffler

Academic. Data lover. Statistics enthusiast.

Packages and Resources for Data Viz

I have written several notes to myself over the years as reminders. These include ideas for research, R packages I have seen and may use sometime), things to-do, etc. I am in the process of making some of these notes more public on my blog. This will act as a more searchable, curated “note” for myself, but also makes it available to anyone else who would benefit. These are resources I was compiling for use in our course, EPsy 1261: Understanding Data Stories through Visualization & Computing.

Teaching Statistics Reading/Discussion Group

Laura Le is organizing a reading/discussion group at the University of Minnesota in spring 2020 for anyone interested in teaching statistics. The group will meet Mondays from 4:00pm–5:00pm (location TBD). Here is the tentative plan for what this interest group will entail: Prior to the meeting, read/skim one article related to the topic of the week. During the meeting, discuss the topic/article for the first 30 minutes and video chat with a prominent statistics educator on that topic for the last 30 minutes.

What to do about p-values?

In March, the ASA published a special issue of The American Statistician (TAS) related to statistical inference in the 21st century. In the initial article, Moving to a World Beyond “p < 0.05”, Wassersein, Schirm, and Lazar (2019) write for the ASA saying, “The ASA Statement on P-Values and Statistical Significance stopped just short of recommending that declarations of “statistical significance” be abandoned. We take that step here. We conclude, based on our review of the articles in this special issue and the broader literature, that it is time to stop using the term “statistically significant” entirely.


Last week I attended the United States Conference on Teaching Statistics. The biennial conference, which took place at Penn State, attracts statistics educators and statistics education researchers from across the world. It was a fantastic conference with keynotes from Jane Watson, Allen Schirm and Ron Wasserstein, John Kruschke, and Kari Lock Morgan. I cajoled four of my graduate students (Jonathan Brown, Mike Huberty, Chelsey Legacy, and Vimal Rao) to tag along, and it was fun to see them interacting with the people and ideas presented.

Computing Talk at SSC 2018

I am giving a talk at the 46th Annual Meeting of the Statistical Society of Canada in Montreal on June 05, 2018. The talk is part of an invited session on Teaching Statistics to Graduate Students in the Health and Social Sciences. Information, including the slides, is available below. Title: Statistical Computing: Non-Ignorable Missingness in the Graduate-Level Social Science Curriculum Abstract: In 2010, Nolan and Temple Lang pointed out that "