Open Science

Page description: Tutorials on various packages for R Markdown and reproducible analyses.

Section Title Link Materials Person Year Taught
FAIR Creating Open Data Part 1 - Download Data https://youtu.be/qKRmKzdnZnM NA Dr. B Spring 2020
FAIR Creating Open Data Part 2 - Codebooks https://youtu.be/ae_8DH6R4Ns NA Dr. B Spring 2020
FAIR Creating Open Data Part 2 - Data Dictionaries https://youtu.be/QnSBP59FiRM NA Dr. B Spring 2020
FAIR Creating Open Data Part 3 - Upload and Share https://youtu.be/vveQtsrQr3k NA Dr. B Spring 2020
Markdown R - Markdown Simple Tables https://youtu.be/hNgeVLotABg NA Dr. B Summer 2017
Markdown R - Markdown with Papaja https://youtu.be/I_HW5Rraqg8 https://github.com/doomlab/statsofdoom-files/tree/master/open_science Dr. B Fall 2017
Markdown R - Markdown with Papaja 2 https://youtu.be/dmB6sHDbs7Q https://github.com/doomlab/statsofdoom-files/tree/master/open_science Dr. B Fall 2017
Markdown R - Markdown with Papaja 3 https://youtu.be/SjeTf4cieWk https://github.com/doomlab/statsofdoom-files/tree/master/open_science Dr. B Fall 2017
MOTE R - MOTE Package Avaliable on GitHub https://youtu.be/SSkcAm3SctA NA Dr. B Summer 2017
MOTE MOTE - Dependent t (Shiny App) https://youtu.be/eq9X4ynxq2A https://github.com/doomlab/MOTE Dr. B Spring 2018
MOTE MOTE - Independent t (Shiny App) https://youtu.be/kH3UOoFh9Ng https://github.com/doomlab/MOTE Dr. B Spring 2018
MOTE MOTE - Z Tests (Shiny App) https://youtu.be/CyfOS7Ew-Hw https://github.com/doomlab/MOTE Dr. B Spring 2018
MOTE MOTE - Chi-Square (Shiny App) https://youtu.be/fxNfIokgSTs https://github.com/doomlab/MOTE Dr. B Spring 2018
MOTE MOTE - d to r/R2 (Shiny App) https://youtu.be/_3mBy7gnK3Y https://github.com/doomlab/MOTE Dr. B Spring 2018
MOTE MOTE - Eta/Omega from F values (Shiny App) https://youtu.be/40XnVCphLFA https://github.com/doomlab/MOTE Dr. B Spring 2018
MOTE MOTE - Eta/Omega/Epsilon from SS (Shiny App) https://youtu.be/5yfUgJB4mwY https://github.com/doomlab/MOTE Dr. B Spring 2018
MOTE MOTE - Partial GES/Omega (Shiny App) https://youtu.be/Y1piNdNdMbc https://github.com/doomlab/MOTE Dr. B Spring 2018
MOTE MOTE - Partial Omega (Shiny App) https://youtu.be/N-Vy9gaVNP4 https://github.com/doomlab/MOTE Dr. B Spring 2018
MOTE MOTE - Partial Eta (Shiny App) https://youtu.be/qVeBv2yqVTM https://github.com/doomlab/MOTE Dr. B Spring 2018
MOTE MOTE - Single t (Shiny App) https://youtu.be/z2OnOk4_w3E https://github.com/doomlab/MOTE Dr. B Spring 2018
MOTE MOTE - Independent Proportions (Shiny App) https://youtu.be/orrpP8Wd5tA https://github.com/doomlab/MOTE Dr. B Spring 2018
NLP R - Practical Primer on Text Processing https://youtu.be/FbznaCOXbcU https://github.com/doomlab/statsofdoom-files/tree/master/open_science Dr. B Fall 2019
Screening R - Screen Low Quality Data https://youtu.be/QE5_qktry5I NA Dr. B Spring 2018
Screening Screen Low Quality Data in Browser (Shiny R) https://youtu.be/UmsuNw_fcIk NA Dr. B Spring 2018
Presentation Psychonomics 2020 - Power Simulations for Linguistic Data https://youtu.be/80B_Mxk4BpQ https://github.com/SemanticPriming/SPAML/tree/master/parameter_estimation Dr. B Fall 2020
Presentation SCIP 2020 - Using STRUDEL for Semantic Concept-Feature Norms https://youtu.be/R0_QYTPPmVM https://github.com/SemanticPriming/subs2strudel Dr. B Fall 2020
Presentation SCIP 2020 - lrd: An R Package and Shiny Application for Lexical Response Data https://youtu.be/v02cSZMQLGc https://github.com/npm27/lrd Dr. B Fall 2020
Presentation SCIP 2020 - Testing the Assumption of Model Similarity Across Languages https://youtu.be/AyT1vx768Wg https://github.com/SemanticPriming/word2manylanguages Dr. B Fall 2020
Presentation Psychonomics 2020 - The Psychological Science Accelerator https://youtu.be/iN_nEfaF2nI https://psysciacc.org/ Dr. B Fall 2020