#PsyTeachR @emilynordmann @PatersonHelena Imaginary barriers to reproducibility: short courses with diverse students.

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Presentation transcript:

#PsyTeachR @emilynordmann @PatersonHelena Imaginary barriers to reproducibility: short courses with diverse students

Reproducible, Responsible Research Methods Our Short Courses Curriculum Reproducible, Responsible Research Methods Assessment inspired by open science Take Home Message: Even with very short courses it is possible to teach Reproducible, Responsible Research Methods

Short programmes MSc Conversion – Zero to Heroes MSc Data Skills Diverse skill sets – dancers and computing science graduates in the same class About 30 hours to learn quant methods, stats and communication Graduate with accredited psychology degree MSc Data Skills Graduates coming from undergrad psych and neuroscience degrees & plan to do a PhD. Some have R skills, many have research methods and stats knowledge, many don’t have any of this 20 hours of Data skills that prepare students for advanced Stats Reproducible philosophy embedded into as many other places as we can – seminar events, M&Ms club, professional skills class

Curriculum (Zero2Hero) Intro to R Data wrangling Chi-square Correlation T-test ANOVA Regression At each stage: Data wrangling Visualisation Assumption checking Power and effect size Multiple comparison corrections Pre-registration Reproducible scripts Content looks very much like a standard UG degree stats course, MSc Convs need a extremely practical introduction to stats that will allow them to a) understand the papers they read and b) for those than do a quant dissertation give them the tools to analyse their data, things like GLM decomposition matrices are removed. BUT reproducible methods emphasised at every stage. Important to remember that this doesn’t require R, this can be done with whatever programme you’re using.

Curriculum (Zero2Hero) Blended support Computing & programming basics Video walkthroughs Realism Most Conversion students have a very specific career goal in mind & this usually has nothing to do with statistics But! We can still leave them with the understanding of how data and results are “made” Supplementary analyses Permutation tests Non-parametric tests Data transformation Simulation rtweet tidytext There are some more structural differences with the UG programme though and it’s because of the diverse cohort – anyone with experience of MSc will know. More support in certain areas – lots of students with computer anxiety so computing and programming basics is extremely stepped out. Less contact time because of accelerated curriculum means need support like more video walkthroughs. The more advanced students are given access to supplementary analyses

Assessment & feedback: Open science style Open Science can be inspirational for teaching Pre-registration makes teaching statistics easier As do reproducible scripts (what have you done??) Working with real data prepares students for their dissertations And highlights why the reproducibility crisis happened Research Methods 2 mini-project - Secondary data analysis - Research proposal - Pre-registration - Reproducible analysis plan on simulated data - Simple statistics (correlation & t-test) done properly

Assessment & feedback: Open science style Open Science can be inspirational for teaching Pre-registration makes teaching statistics easier As do reproducible scripts (what have you done??) Working with real data prepares students for their dissertations And highlights why the reproducibility crisis happened - Peer reviews of pre-prints - PsyAccelerator style group-work - Reproducible scripts - Resource of real data at every point

If you think… I couldn’t do this because our students can’t cope with it Yes they can/they weren’t coping with SPSS either We don’t have enough people who know R Upskilling doesn’t have to just be for students Almost all of this can be done with other software, R is just easier There are more important things to focus on/we don’t have the time (You’re probably at the wrong conference) Question of priorities What does a psychology graduate need to know? Simple things done well > a complicated car crash There are some differences with the UG programme though and it’s because of the diverse cohort – anyone with experience of MSc will know. More support in certain areas – lots of students with computer anxiety so computing and programming basics is extremely stepped out. Less contact time because of accelerated curriculum means need support like more video walkthroughs. The more advanced students are given access to supplementary analyses

Keep the bigger picture in mind: Reproducible science Open Minds #PsyTeachR @emilynordmann @PatersonHelena 9