Resources
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Level 1: Data Skills
Our first-year undergraduate course covers current state of psychological science and what Open Science is as well as its importance. It also aims to make students confident and competent at using RStudio as a tool to achieve good data management skills.
Author: Emily Nordmann, Heather Cleland-Woods
Contact: Emily Nordmann -
Level 2: Analysis
Our second-year undergraduate course covers data skills such as R Markdown, data wrangling with tidyverse, and data visualisation with ggplot2. It also introduces statistical concepts such as permutation tests, NHST, alpha, power, effect size, and sample size. Semester 2 focusses on correlations and the general linear model.
Author: Phil McAleer, Carolina Kuepper-Tetzel, Helena Paterson
Contact: Carolina Kuepper-Tetzel -
Level 3: Statistical Models
This third-year undergraduate course teaches students how to specify, estimate, and interpret statistical models corresponding to various study designs, using a General Linear Models approach.
Author: Dale Barr
Contact: Dale Barr -
Fundamentals of Quantitative Analysis
This book contains materials for students on the MSc Conversion in Psychological Studies/Science, a one-year postgraduate degree for students with a non-psychology undergraduate degree. This research methods course covers core data skills that allow you to manipulate and analyse quantitative data.
Author: Emily Nordmann, Wil Toivo, Phil McAleer
Contact: Phil McAleer -
Data Skills for Reproducible Research
This book provides an overview of skills needed for reproducible research and open science using the statistical programming language R and tidyverse packages. It covers reproducible workflows, data visualisation, data tidying and wrangling, archiving, iteration and functions, probability and data simulations. It assumes at least an undergraduate level of methods training, but no prior experience in R.
Author: Lisa DeBruine, Dale Barr
Contact: Lisa DeBruine
DOI: 10.5281/zenodo.6527194 -
Statistics and Research Design
Coming soon! The second term statistics course for our MSc in Research Methods.
Author: James Bartlett, Christoph Scheepers, Guillaume Rousselet
Contact: James Bartlett -
Glossary of Terms
PsyTeachR books (and external websites) can link to the glossary to define common terms. Anyone can contribute to the glossary through the github project.
Contact: Lisa DeBruine -
Applied Data Skills
This book provides an overview of the basic skills needed to turn raw data into informative summaries and visualisations presented in professional reports and presentations.
Author: Emily Nordmann, Lisa DeBruine -
A Handy Workbook for Research Methods & Statistics
A Handy Workbook to help students understand Research Methods and Statistics through worked examples and self-tests.
Author: Phil McAleer -
Data Visualisation Using R, For Researchers Who Don’t Use R
In this tutorial, we provide a practical introduction to data visualisation using R, specifically aimed at researchers who have little to no prior experience of using R.
Author: Emily Nordmann, Phil McAleer, Wilhelmiina Toivo, Helena Paterson, Lisa DeBruine
Contact: Emily Nordmann -
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Building Web Apps with R Shiny
Learn the basics of Shiny app programming, including skills that will form the basis of almost any app you want to build.
Author: Lisa DeBruine -
Coding Club: Creating an R Package
Making an R package develops generic coding skills and gives you valuable insight to how R works. Covers setting up a package project, creating functions, documenting them with roxygen, creating vignettes, unit testing, package testing, version control with git, and distribution with github.
Author: Lisa DeBruine -
Book Template
Fork the GitHub project to get started making a book with the psyTeachR styles and conventions. This includes custom code to make the subheader menu accessible on mobile or smaller screens, and integrated support for webexercises. The template has a CC-BY-SA license, so feel free to make any modifications.
Author: Lisa DeBruine -
{webexercises}
The R package {webexercises} helps instructors easily create interactive web pages that students can use in self-guided learning.
Author: Dale Barr, Lisa DeBruine(formerly webex
).
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{markr}
The R package {markr} helps instructors create individual feedback documents and marking summaries from flexibly organised spreadsheets and other types of input.
Author: Lisa DeBruine, Helena Paterson, Phil McAleer -
{faux}
The R package {faux} package makes it easier to simulate data with a specified structure.
Author: Lisa DeBruine -
Hack Your Data Beautiful
A 2017 workshop sponsored by the SGSSS to teach social science and humanities postgraduates coding skills to make your own website or to visualise your data in a way that is engaging and rigorous.
Author: Carolyn Saund, Shannon McNee, Rebecca Lai, Jack Taylor, Stephanie Allan, Anna Henschel, Lovisa Sundin, Dale Barr, Lisa DeBruine -
Redesigning methods curricula for reproducibility
A 2019 workshop on experiences, insights, and teaching materials for the transition to teaching R across all undergraduate and postgraduate levels.
Author: Dale Barr, Heather Cleland Woods, Lisa DeBruine, Rebecca Lai, Phil McAleer, Shanon McNee, Emily Nordmann, Helena Paterson, Niamh Stack -
Creating a curriculum centered on reproducible research for the Psychologists of the future
A talk by Phil McAleer for the Project Tier Spring Symposium 2021.
Author: Phil McAleer