The free Revision and exam skills workshop run by the Academic Skills Centre | Pokapū Pūkenga Ako will help you to:
- learn how to handle examination nerves
- understand the best methods for retaining course material you have studied and how to manage your revision workload
- have the skills you need to approach essay, short answer and multiple choice questions successfully.
How to register: Enrol online here
When: Tuesday 19 March, 12pm – 12.50pm
Where: Academic Skills Seminar Room (308), Level 3, Puaka-James Hight
There is more and more evidence that findings from many scientific studies cannot be reproduced, casting doubt on the reliability of these studies.
On October 26, 2018, at the ‘Reproducibility and Integrity in Scientific Research’ workshop, we will discuss the extent of this replication crisis, explore various methods that can be used to check whether a study can be replicated, and present tools that can be used to make one’s own research more reproducible and trustworthy.
- Date: Friday 26 October, 9:00am – 17:00pm
- Place: UC Business School, Meremere, Room 236
- Registration (important for catering purposes): email email@example.com
Speakers and titles of the presentations
[you can find abstracts here]
- Anton Angelo (UC Library): Transparency and reproducibility – It’s all about layers.
- Arin Basu (UC Health Sciences): What about Why?
- Annette N. Brown (FHI 360, Chief Science Office): Which tests not witch hunts: A diagnostic approach to conducting replication research
- Brian Haig (UC Psychology): Understanding replication in a way that is true to science.
- Jeff Miller (University of Otago, Psychology): The statistical fundamentals of (non)-replicability
- Thomas Pfeiffer (Massey University, Computational Biology/Biochemistry): Betting on your peers’ results: A tale of three markets
- Robert Reed (UC Business School): An update on the progress of replications in economics
- Philip Schluter (UC Health Sciences): A Bayesian alternative to hypothesis testing
- Eric Vanman (University of Queensland, Psychology). How pre-registrations can improve science: Tales from the front-line
- Ben Wood (Integra LLC): Lessons learned from running a social science replication program
||SESSION: Replication – Theory and Current Status
||SESSION: How to Detect the Truth
||SESSION: Making Research More Reproducible
||SESSION: Observations from the Front Lines
More information on the replication crisis can be found on the Replication Network Website
This workshop is supported by the University of Canterbury Business School Research Committee.
The Statistical Consulting Unit is having another run of its popular ‘Data Analysis Using R’ workshops.
The workshops are free and primarily directed at postgraduate students and members of staff, who need to improve their data analytic skills.
The next Introductory Data Analysis Workshop will take place on Wed-Thu 18-19 July, 2018 (10am-4pm), and will cover fundamental statistical concepts, such as sampling distributions, hypothesis testing, p-values and confidence intervals, as well as introduce linear regression and analysis of variance (ANOVA). No prior knowledge of R is required.
To register or for further information, please write to Daniel Gerhard at firstname.lastname@example.org.