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SSB4203

Sarah Swift Building

University of Lincoln

Lincoln

United Kingdom

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In many academic disciplines, there is a heavy reliance on p-value or what some refer to as “Null hypothesis Significance Testing (NHST)”. Pervasiveness does not guarantee a best measure OR suggests it is a gold standard. Recently, there has been a growing call in both natural and social sciences for researchers to report alternative statistics to p-value such as confidence intervals or Bayesian statistics. Critics argued that NHST does not allow researchers to state evidence for the alternate hypothesis, and, perhaps more importantly, it overstates the evidence against the null hypothesis.

This workshop will focus on how to use JASP statistical software, which is an open-source, cross platform, user-friendly graphical software package that allows users to carry out Bayesian hypothesis tests for standard statistical problems. It has an in-built platforms for frequentist analyses (e.g., t-tests, correlation, regression, anovas) and Bayesian alternatives to these tests and provides annotated output for communicating your results. The interface is user friendly and allows for dynamic update of all results, thus giving you an immediate feedback.

The session will cover the following:

  • Basics of Bayesian Statistics
  • Guidelines for interpreting Bayes factor (alternate to p-value)
  • Step-by-step guide for running statistical analysis using JASP software
  • Datasets will be provided and participants will have opportunity to practice using JASP to analyse quantitative data.

Session Recording

Please note all attendees of this workshop will receive a follow up email, containing an online recording of the session, and further resources linked to the subject.

Attendance

Once you have booked onto a workshop, you are expected to attend, if you find that you are not able to meet your commitment to attend, you must ensure that you cancel your booking by contacting the Doctoral School at the earliest possible opportunity so that someone else can be offered the chance to attend. Should you fail to attend a workshop without providing a valid reason your supervisor and Head of Department will be notified.

If we find we have to cancel a workshop at short notice (for example, as a result of tutor illness or extreme weather) we will contact you as soon as possible by email using the email address you submitted at booking.

Cancellation of Attendance

The Researcher Development Programme is very popular and for many workshops we have waiting lists of students wishing to attend. Hence, if you book a place on an event you are expected to attend. If you realise that your attendance is going to be impossible you can cancel your booking by emailing the Doctoral School doctoralschool@lincoln.ac.uk .

Please do so as early as possible (and at least 48 hours in advance) so that we can offer your place to another student.

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Date and Time

Location

SSB4203

Sarah Swift Building

University of Lincoln

Lincoln

United Kingdom

View Map

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