Happy Friday! CAUSE Research Reading Group meetings continue! Our next
meeting is scheduled on *Wednesday, May 3rd*, at *2–3PM ET *(1 pm CT, noon
MT, 11 am PT). Please find the link for registration and the link to the
Title: The Status of Confounding
Description: This month, in the CAUSE/JSDSE webinar series*, we highlight
the article, "Statistical Literacy: A Study of Confounding". Attendees
will discuss the importance of the idea of confounding and propose reasons
for its minimal presence in our textbooks and curriculum. The GAISE 2016
update recommended including multivariate thinking (and confounding) in the
introductory course. Attendees will identify material that can be
de-emphasized to allow 2 or 3 weeks in a semester to introduce multivariate
thinking and confounding. Finally they will examine the pros and cons of
recommending that statistical education offer two versions of the
Article link: www.StatLit.org/pdf/2019-Schield-ASA.pdf
* CAUSE: Consortium for the Advancement of Undergraduate Statistics
Education. JSDSE: Journal of Statistics and Data Science Education.
Zoom: Register in advance for this meeting:
After registering, you will receive a confirmation email containing
information about joining the meeting.
Our hosts for this session will be Milo Schield & Larry Lesser (big thanks
to Milo & Larry!).
Don’t worry if you haven’t participated in our previous meetings yet. All
meetings are independent from each other, so please join us if you are
interested. *All are welcome!*
*About Summer 2023*: This is going to be our last session for Spring 2023
and there will be no meeting in the third week of May. Megan and I have
decided that we will meet on the *first & third Wednesday* at *12:00-1:00PM
ET*/ 9-10AM PT during Summer 2023 (June – August) - except the third week
of July. The “theme” for Summer 2023 is “*Frameworks in Statistics and Data
Science Education + Data Science Education*” and the first summer meeting
is scheduled shortly after USCOTS 2023 on *June 7th, 2023*. Please find the
reading list and specific dates for Summer 2023 via this link
and consider hosting a session or two for this research reading group this
summer : )
As always, please don’t hesitate to reach out to me or Megan if you have
any questions or suggestions. We are all ears!
Look forward to having you join us next Wednesday,
Shu-Min & Megan
The Consortium for the Advancement of Undergraduate Statistics Education is happy to announce our 83nd Cartoon Caption Contest! Each month a cartoon, drawn by British cartoonist John Landers, is posted for you and your students to suggest statistical captions (cartoons are posted at the beginning of the month and submissions are due at the end of the month). The caption contest is offered as a fun way to get your students thinking independently about statistical concepts.
The next cartoon and the entry rules for the contest ending April 30 are at
The best submission will be posted on CAUSEweb and the winner(s) will receive their choice of a coffee mug or t-shirt imprinted with the final cartoon.
The March caption contest cartoon is shown here. The judges found the winning caption to be “Good graphs give food for thought,” written by Larry Lesser at The University of Texas at El Paso. Larry’s caption can be used in discussing how data visualizations help in thinking about the interpretation of data and stimulate critical thinking about the topic of the plot. Honorable mentions this month go to Laila Poisson from Henry Ford Health for her caption:“Celebrating the art of statistics,” and to Charlie Smith from North Carolina State University for his caption: “Data visualization opens the door to understanding your data, and it’s cool!” Both of these captions can be used to stimulate a general appreciation for statistical graphics.
Thanks to everyone who submitted a caption and congratulations to our winners!
The early-bird registration deadline for the 2023 U.S. Conference on Teaching Statistics (USCOTS) is Monday, April 17. The registration fee will increase from $225 to $275 after 11:59pm Eastern time on April 17.
This in-person conference will take place at State College, Pennsylvania, beginning at 4:30pm on Thursday, June 1 and concluding at 3:15pm on Saturday, June 3. Pre-conference workshops start on May 30, and a research satellite mini-conference will be held on the evening of May 31 and morning of June 1. The conference theme is “Communicating with/about Data.”
The registration fee provides access to all conference sessions, pre-conference workshops, and the research satellite mni-conference. Also included are the opening mixer on Thursday evening, banquet dinner on Friday evening, and lunches on Friday and Saturday.
See www.causeweb.org/cause/uscots/uscots23<https://www.causeweb.org/cause/uscots/uscots23> to register and find much more information. Please join us and hundreds of other statistics teachers for presentations, conversations, interaction, sharing, learning, camaraderie, and fun at USCOTS!
Kelly McConville and Allan Rossman
(for the USCOTS Program Committee)
Happy Monday! CAUSE Research Reading Group meetings continue! Our next meeting is scheduled on Wednesday, April 19th, at 2:00 - 3:00PM ET (1 pm CT, noon MT, 11 am PT). Please find the link for registration and the link to the article below.
Lyford, A. & Kaplan, J.J. Improving student learning and instructional effectiveness through the innovative use of automated analysis of formative assessments. In Sorto, M.A. (Ed) Proceedings on the 10th International Conference on Teaching Statistics (ICOTS-10). http://iase-web.org/icots/10/proceedings/pdfs/ICOTS10_1E1.pdf?1531382515
For those who want additional background: Kaplan, J. J., Lyford, A., & Jennings, J. K. (2018). Effects of question stem on student descriptions of histograms. Statistics Education Research Journal, 17(1), 85-102. https://doi.org/10.52041/serj.v17i1.177
Zoom: Register in advance for this meeting:
After registering, you will receive a confirmation email containing information about joining the meeting.
Our host for this session will be Jennifer Kaplan (thank you so much, Jennifer!).
Don't worry if you haven't participated in our previous meetings yet. All meetings are independent from each other, so please join us if you are interested. All are welcome!
Look forward to having you join us on Wednesday, April 19th!
Shu-Min & Megan
Information Systems and Operations Management
WARRINGTON COLLEGE OF BUSINESS
UNIVERSITY OF FLORIDA
Stuzin Hall 351B
PO Box 117169, Gainesville, FL 32611
Designing a Large, Online Simulation-Based Introductory Statistics Course
Tuesday, April 18th, 2023 4:00 pm – 4:30 pm EDT
Presented by: Ella Burnham (Gustavus Adolphus College), Erin Blankenship (University of Nebraska-Lincoln, and Sydney Brown (University of Nebraska-Lincoln)
Abstract: This month, in the CAUSE (Consortium for the Advancement of Undergraduate Statistics Education) / JSDSE (Journal of Statistics and Data Science Education) webinar series, we highlight the article, Designing a Large, Online Simulation-Based Introductory Statistics Course. The authors designed an asynchronous undergraduate introductory statistics course that focuses on simulation-based inference at the University of Nebraska-Lincoln. In the webinar presentation, the authors plan to describe the process they used to design the course, as well as the structure of the course. They will also discuss feedback and comments they received from students on the course evaluations and will reflect on the course after teaching it for the past three years. Their goal is to provide useful tips and ideas for instructors who have developed or are developing their own asynchronous introductory course. And while they emphasized simulation-based inference in their own course, they believe that many of the design features of this course may be useful for those using a traditional approach to inference in their introductory courses.
Article Link: https://www.tandfonline.com/doi/full/10.1080/26939169.2022.2087810
The webinar is free but pre-registration is required. Please sign up at: https://www.causeweb.org/cause/webinar/jsdse/2023-04
Please join us!
Dr. Leigh V. Johnson
Associate Professor | Capital University
Department Chair, Mathematics, Computer Science and Physics
Stegemoeller Endowed Chair in Computational Sciences
Chair, College Faculty
JSDSE Webinar Coordinator
[Erin Blankenship Headshot.jpg]
DO YOU TEACH DATA SCIENCE?
Can you help us either in identifying CORE DATA SCIENCE TOPICS or in exploring STUDENT ATTITUDES…or both?
Then read on…
Please join us as we explore the introductory, college-level data science class and the variety of settings in which it is taught. Specifically, we endeavor to 1) identify the wide range of topics covered in these classes, as well as 2) the role that students' attitudes play in the learning process. In order to empower data science education researchers to determine best-practices and impacts of interventions or teaching modalities, we will create a family of instruments to validly measure attitudes toward data science. This project, which we refer to as MASDER<https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fsdsattitud…> (Motivational Attitudes in Statistics and Data Science Education Research), is funded by the National Science Foundation (DUE-2013392<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nsf.g…>).
If you teach an introductory, college-level data science class, there are two ways you could get involved:
1. What is Data Science? (You get asked this a lot, don't you?) We want to know what you teach in your introductory data science class. Please fill out our Introductory Data Science Topics Survey<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbit.ly%2F…>! This should only take about 15 minutes.
2. Sign-up<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fforms.gle…> to administer our pilot student attitudes instrument to your students! We request that you sign up to do this by April 14, 2023.
Feel free to share these opportunities with other colleagues who teach data science (or send us their contact information). We all know the value of quality data!
We hope you will participate in this important work! Please feel free to contact us if you have any questions.
The MASDER Team
April Kerby-Helm, Winona State University, Data Science Co-Lead (akerby(a)winona.edu)
Michael Posner, Villanova University, Data Science Co-Lead (michael.posner(a)villanova.edu)
Alana Unfried (PI), California State University - Monterey Bay (aunfried(a)csumb.edu)
Marjorie Bond, Penn State University
Douglas Whitaker, Mount Saint Vincent University
Leyla Batakci, Elizabethtown College
P.S. This project has been approved by our Institutional Review Board (IRB). For the student attitudes survey, the IRB has set forth some guidelines that we must follow in conducting this research. We are including only courses taught in the United States and the survey should be assigned either for class credit or for extra credit in order to increase the response rates. We will share with you a list of students who completed the consent form, but we are unable to reveal additional student information or survey responses. Amalgamated, de-identified survey data will be publicly available at the end of the grant period. This folder<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdrive.goo…> contains information you can share with your IRB if they want to determine your eligibility to administer the survey. Your involvement in this project improves the quality of the final survey which we will develop.
The ASA Section on Teaching of Statistics in the Health Sciences (TSHS) is excited to present our Spring 2023 webinar. Dr. Julia Sharp of the National Institute of Standards and Technology (NIST), will moderate our 2-hour panel discussion with Dr. Emily Griffith of North Carolina State University, Dr. Alexandra Hanlon of Virginia Tech University, Dr. Ryan Peterson of the University of Colorado, and Dr. Emily Slade of the University of Kentucky. They will discuss successful approaches to teaching statistical consulting.
The webinar is FREE and open to all. Details and registration information are below.
TITLE: Successful Approaches to Teaching Statistical Consulting
PANELISTS: Dr. Julia Sharp, NIST (moderator)
Dr. Emily Griffith, North Carolina State University
Dr. Alexandra Hanlon, Virginia Tech University
Dr. Ryan Peterson, University of Colorado
Dr. Emily Slade, University of Kentucky
DATE/TIME: May 8, 2023, from 3:30-5:30pm Eastern Time (US and Canada)
VENUE: Online webinar hosted using the Zoom platform
ABSTRACT: Statistical consulting is generally a small component of a biostatistician’s training, despite the fact that it may be a large part of their work post-graduation. Standard textbooks and structures for statistical theory and methods courses exist. However, analogous resources, formats, and approaches for formal statistical consulting courses can be sparse and may vary in quality, relevance, acceptability, and current state of the art. Additionally, instruction in statistical consulting often occurs outside of a usual classroom setting, to support experiential student learning. Didactic training can also complement and improve upon “on-the-job” statistical experience. In this webinar, panelists will discuss the structure, resources, and key components of their statistical consulting training. They will also identify perceived gaps, limitations, and successes in their approaches and resources to support the training of the next generation of collaborative statisticians.
REGISTRATION: To register for the webinar, please complete this form:
We will send the Zoom link for the webinar to your email address the day before the webinar.