# Teaching the New Statistics ## Welcome This OSF project helps organize resources for teaching the "New Statistics"--an approach that emphasizes asking quantitative questions, focusing on effect sizes, using confidence intervals to express uncertainty about effect sizes, using modern data visualizations, seeking replication, and using meta-analysis as a matter of course (Cumming, 2011). Next workshop: * [Midwestern Psychological Association, April 18 2024][1] * [Bob's Talk][2] * [Resources][3] * Download and install [jamovi][4] or user their cloud version Resources from previous workshops: * 2024 - [Harvard MCO][5] * 2023 - [Teaching Research Excellence][6] * 2023 - [Harvard MCO][7] * 2022 - [Princeton Psychology][8], 9/20/2022 * 2022 - [MPA][9] * 2022 - [Havard MCO][10] * 2021 - [AIMOS][11] * 2021 - [University of Delaware][12] * 2020 - [IUPUI in Indianapolis, IN][13] * 2020 - [Harvard MCO seminar series in Cambridge, MA][14] * 2020 - [SIPS conference][15] * 2019 - [APS Workshop in Washington, DC][16] * 2019 - [MPA Workshop in Chicago, IL][17] * 2019 - [NITOP Workshop in St. Pete, FL][18] * 2018 - [APS Worskhop in San Francisco, CA][19] * 2018 - [APS Symposium in San Francisco, CA][20] * 2018 - [STP 2016 in Decatur, GA][21] This goal of this project is to crowd-source resources for teaching the New Statistics, especially resources that will make it easier for instructors to make the switch away from the NHST approach. Interested in contributing resources, editing a section, or submitting commentary/feedback on existing resources? Please contact the page organizers, Bob Calin-Jageman or Craig Wendorf or Tamarah Smith: provide your OSF id, and a brief description of the contribution you would like to make. This OSF page can: * Store new resources, using OSF's free and version-controlled file storage system * Or link to existing resources Here are the main pages to help you get started: * Resources to help you [learn the New Statistics][22] * [Textbooks][23] and other print resources (moderated commentary/reviews are welcome) * [Software resources][24] and guides for the New Statistics (moderated commentary/reviews are welcome) * [Demonstrations, simulations, and other resources][25] * [Sample data sets][26] * Instructor Resources (quizzes, assignments, etc.) - Email for access (required to prevent student access to keys) Students learning the new statistics are not immune to statistics anxiety and negative attitudes towards statistics. Here is a link to information and resources to help you address these barriers in your statistics course: https://osf.io/79uq4/ [1]: https://osf.io/muy6u/wiki/Workshops%20-%20MPA%20-%202024/ [2]: https://osf.io/kb428 [3]: https://osf.io/5rpbqnpsych.org/ [4]: https://www.jamovi.org/ [5]: https://osf.io/muy6u/wiki/Workshops%20-%20Harvard%20-%202024/ [6]: https://osf.io/muy6u/wiki/Workshops%20-%20Teaching%20Research%20Excellence%20-%202023/ [7]: https://osf.io/muy6u/wiki/Workshops%20-%20Harvard%20-%202023/ [8]: https://osf.io/muy6u/wiki/Workshops%20-%20Princeton%202022/ [9]: https://osf.io/muy6u/wiki/Workshops%20-%20MPA%202022/ [10]: https://osf.io/muy6u/wiki/Workshops%20-%20Harvard%202022/ [11]: https://www.dropbox.com/s/xjvdpee3rvcmm7i/aimos%20talk.pptx?dl=1 [12]: https://osf.io/ac3ud/ [13]: https://osf.io/muy6u/wiki/Workshops%20-%20IUPUI%202020/ [14]: https://osf.io/muy6u/wiki/Workshops%20-%20Harvard%202020/ [15]: https://osf.io/muy6u/wiki/Workshops%20-%20SIPS%202020/ [16]: https://osf.io/muy6u/wiki/Workshops%20-%20APS%202019/ [17]: https://osf.io/muy6u/wiki/Workshops%20-%20MPA%202019/ [18]: https://osf.io/muy6u/wiki/Workshops%20-%20NITOP%202019/ [19]: https://osf.io/muy6u/wiki/APS%202018%20Workshop/ [20]: https://osf.io/muy6u/wiki/Workshops%20-%20APS%202018%20Symposium/ [21]: https://osf.io/muy6u/wiki/Workshops%20-%20STP%202016/ [22]: https://osf.io/muy6u/wiki/Learn%20the%20New%20Statistics/ [23]: https://osf.io/muy6u/wiki/Textbooks%20that%20Cover%20the%20New%20Statistics/ [24]: https://osf.io/muy6u/wiki/Software%20Resources%20for%20the%20New%20Statistics/ [25]: https://osf.io/muy6u/wiki/Other%20Resources/ [26]: https://osf.io/muy6u/wiki/Sample%20Data%20Sets%20of%20Analysis/