I'm please to announced that the October, 2024 issue of the _Journal of Statistics and Data Science Education_ is now freely available:
https://www.tandfonline.com/toc/ujse21/32/4?nav=tocList
(Note that you may need to be logged into the Community to click on links.)
JSDSE is a 32 year-old open-access journal with no author publication fees that is published jointly by the American Statistical Association and Taylor & Francis.
Articles in this issue include:
Open Case Studies: Statistics and Data Science Education through Real-World Applications:
https://doi.org/10.1080/26939169.2024.2394541
Using Grayscale Photos to Introduce High School Statistics Teachers to Reasoning with Digital Image Data:
https://doi.org/10.1080/26939169.2024.2351570
Philosophy within Data Science Ethics Courses:
https://doi.org/10.1080/26939169.2024.2394542
Teaching Modeling in Introductory Statistics: A Comparison of Formula and Tidyverse Syntaxes:
https://doi.org/10.1080/26939169.2024.2394545
A Simulation-Based Approach to Teach Interaction Effects in Postgraduate Biostatistics Courses:
https://doi.org/10.1080/26939169.2024.2394536
Taking the Next Step in Exploring the Literary Digest 1936 Poll:
https://doi.org/10.1080/26939169.2024.2395505
What They Remember May Not Be What They Understand: A Study of Mnemonic Recall and Performance by Introductory Statistics Students:
https://doi.org/10.1080/26939169.2024.2334905
Neglected, Acknowledged, or Targeted: A Conceptual Framing of Variability, Data Analysis, and Domain Consequences:
https://doi.org/10.1080/26939169.2024.2308119
Cooperative Learning in Introductory Statistics: Assessing Students' Perceptions, Performance, and Learning in Heterogeneous and Homogeneous Groups:
https://doi.org/10.1080/26939169.2024.2302175
Investigating Sensitive Issues in Class Through Randomized Response Polling:
https://doi.org/10.1080/26939169.2024.2302179
This is my last issue as editor of the journal.
Juana Sanchez (UCLA) is now handling new submissions and will taking over as editor in 2025.
It's been an honor and a privilege to have served as editor.
I want to close with thanks for the tireless editorial staff (Jean Scott, Eric Sampson, Rebecca Corpier, and Michelle Martire), the amazing editorial board (see the masthead), the many anonymous (but valued) reviewers, the authors who share their work and wisdom, and above all, you, the readers.
Best wishes for your data-influenced adventures!
Nick Horton
Amherst College
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Nicholas Horton
Beitzel Professor of Technology and Society
Amherst College
Amherst MA
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