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Instructors

Contents

In the last few years, important changes have started to take place in Psychology. Important problems in the analysis and reporting of scientific evidence have been identified and described in what has been described the "replication crisis" of Psychology. Now it is becoming more and more evident that some of our current practices need to be transformed to improve both theoretical and applied fields.

In this workshop you will learn more about these problems, and more importantly, about ways to solve them. Special attention will be paid to provide you with the tools to apply them in your research. Among other, we will discuss the following questions:

- To what extent can we trust published papers? What incentives exist in current publishing and academic systems and how do they affect the scientific record?
- What biases do exist in the literature and how can we detect them?
- What are the most common errors when it comes to using and interpreting p-values?
- P-hacking and the garden of forking paths
- What alternatives are available today and how can they be included in our day-to-day work?
- Open science: Current state and future directions

The workshop will take place in the School of Psychology of the University of Oviedo, on September 12th. It will have a duration of 6h. Those attending will receive the corresponding certificate. The registration fee is 40€ that can be paid during registration to the meeting.
For any question regarding the workshop, please send an email to sepc2017@uniovi.es.


Program and timetable:

Participants are encouraged to bring their laptops, the workshop will have several hands-on sections.

Morning session (11:00 to 14:00):
Introduction to open science (Fernando Blanco)
  • Overview of the field
  • Transparency and opennes: Hypothesis, data and publication process
  • Moving forward to increase open science
Correct use and interpretation of p-values (José Cesar Perales)
  • Type I and Type II errors: common misunderstandings
  • p-hacking: what it is, and how to avoid it
  • Correct interpretation of null results
  • Alternative statistical tools: Bayes factor and equivalence testing
Afternoon session (15:30 to 18:45):
Meta-analysis and p-curves (Miguel Ángel Vadillo)
  • Publication and reporting biases
  • p-curve analysis for the assessment of evidential value
  • Detecting and correcting for biases with funnel plots
  • Other tools: test for excess significance and test for insufficient variance
Additional tools (Fernando Blanco)
  • Open Science Framework
  • Repositories and pre-print servers
  • JASP as an alternativo to SPSS