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      Workshop "Designing More Efficient and Reliable Studies" in Geneva


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      November 29, 2019

      Friday   9:00 AM

      Rue du Général- Dufour 24
      Geneva, Genève 1211

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      EVENT DETAILS
      Workshop "Designing More Efficient and Reliable Studies"

      29.11.2019 09:00 – 17:00

      Workshop Overview

      This course aims to help you to draw better statistical inferences from experimental research, improve the statistical questions you ask when you collect data, and design better and more efficient studies. We will go through best practices in hypothesis testing and power analysis, and discuss how to falsify studies, how to prevent publication bias, and how to statistically support null effects. In practical, hands on assignments, you will learn techniques and tools that can be immediately implemented in your own research, such as sequential analysis, thinking about the smallest effect size you are interested in, and equivalence testing.

      Previous Knowledge

      You should have some basic knowledge about calculating descriptive statistics, and how to perform t-tests, correlations, and ANOVA's. A lot of the examples will be focused on experimental research, so having performed experimental research is useful as well. It is highly recommended to bring either a published paper, a working paper, or a pre-registration plan to use in the hands-on assignments.

      Assumed computer background

      We will use R in many of the assignments, but you don't need any previous knowledge of R - we will mainly use it as a fancy calculator, and I will guide you through everything you need to do.

      Equipment and requirements

      Please install R and install R studio before the workshop.
      Please install these R packages. If needed, see this help file on how to run R code.
      Accepted participants will be asked to fill in a short questionnaire to fine-tune the contents of the workshop accordingly.

      Instructor. Prof. Daniel Lakens is Assistant Professor in the Human-Technology interaction group at Eindhoven University of Technology (TU/e). He is an expert on research methods, including how to design and interpret studies, and applied (meta)-statistics. He blogs on methods and statistics at http://daniellakens.blogspot.com/. He loves teaching about research methods to young scholars, has an online MOOC on ‘Improving Your Statistical Inferences’. He also won a TU/e Teacher of the Year award in 2014.
      He has given over 40 workshops on open science and improving research practices to scientists across the globe, science journalists, and at data science companies (e.g., Booking.com, Trivago) .

      REGISTRATION REQUIRED: https://formulaire.unige.ch/cisa/survey/index.php/95652?lang=en
      Lieu

      Bâtiment: Campus Biotech

      H8.01 D

      Categories: University & Alumni

      Event details may change at any time, always check with the event organizer when planning to attend this event or purchase tickets.