PSY-40107 - Enhancing Reproducibility in Research
Coordinator: Jim Grange Room: DH1.74 Tel: +44 1782 7 33389
Lecture Time: See Timetable...
Level: Level 7
Credits: 15
Study Hours: 150
School Office: 01782 733736

Programme/Approved Electives for 2024/25

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2024/25

A 2016 survey of over 1500 researchers by the prominent journal Nature found that 90% believed there is a 'reproducibility crisis'; in research. The factors leading to a lack of reproducibility are complex and many, ranging from the behaviour of individual researchers through to the incentive structures within academic publishing and funding. This module will provide an in-depth exploration of the main threats to reproducible research together with concrete solutions to counter these. The module will also provide hands-on experience of data analysis with an open-source statistical program and how to create a fully reproducible report of quantitative data analysis. The module will leave you well-positioned to enhance the trustworthiness and quality of the research you conduct.

Aims
This module will introduce students to various issues related to enhancing reproducibility in research. The module will be a combination of content-based material (outlining current issues around reproducibility, delivered via synchronous and asynchronous material) together with hands-on experience with tools to aid reproducibility (such as analysis in JASP).

Intended Learning Outcomes

describe and explain a range of threats to reproducibility in research and a range of proposed solutions to these threats: 1
identify and evaluate the key issues relating to reproducibility relevant to the students' primary area of research: 1
conduct data processing and simple analyses / visualisations using an open-source statistical programming platform: 1
use open-source software tools to produce a report of data analysis: 1

Study hours

- 24 hours of scheduled teaching (interactive, discussion-based etc.)
- 24 hours of guided asynchronous learning (roughly 1 hour per week for content preparation, and 1 hour per week on learning and practicing with JASP and other open source tools)
- 102 hours preparing the Reproducible analysis report

School Rules

None

Description of Module Assessment

1: Exercise weighted 100%
Open analysis report (Approx 3-4,000 words)