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Psychology Forum

Psychology Research Institute / PsyRes

  • Psychology Forum #1: Running on-line studies | Bastiaan Rutjens & Jaap Murre

    Running on-line studies is one efficient way to run studies with absolute social distancing, however, not everybody knows how do this (yet). During this tutorial you will hear how to set up and run studies on-line. Bastiaan Rutjens will talk about the practicalities and pitfalls of running studies on-line, and will discuss different platforms to recruit participants and to make sure that you gather high-quality data.

    For those who want to move their experimentation online, NeuroTask Scripting is a good option to consider. Jaap Murre will give a brief demo of some of the possibilities.

    The aim is that the tutorial is accessible for people who have never done an on-line study, but also for people who can share their experience.  Besides the speakers, several experienced on-line researchers and the people from the TOP will also be available to answer questions.

    Bastiaan Rutjens (with Natalia Zarzcecna)

    “Conducting research online using US and UK data markets

    In the last 2-3 years I have almost exclusively conducted my research online. Online research works well for correlational work, simple experiments, as well as various types of longitudinal design. There are various online platforms where researchers can crowdsource participants for their research. We will talk about our experiences with Amazon’s Mechanical Turk (US) and Prolific Academic (UK), focusing on participant selection, population demographics, instruction and attention checks, and data quality (e.g., compared to student samples). 

    Jaap Murre

    For those who want to move their experimentation online, NeuroTask Scripting is a good option to consider. 

    When Psychology staff or students register at using heir email, they will automatically gain full access to NeuroTask Scripting for free. This is a platform to create online experimental tasks. The NeuroTask framework is not intended for beginning casual users who want to ‘drag-and-drop’ an experiment; some programming in JavaScript is required. Having said that, simple experiments can be created in minutes or hours and quite sophisticated tasks have been made in the past five years, including reaction time experiments (e.g., IAT), memory tests, IQ tests, experiments with sound or video, game-like experiments, multi-player experiments, speech-based interaction, etc. See the demo page for runnable examples, which can be used as starting points. There is also a free online book that takes beginners step-by-stop through the process of creating experiments. Recently, a student has created a number of introductory videos.

  • Psychology Forum #2: A Network Perspective | Sacha Epskamp

    In this Psych Forum we will have two excellent speakers that will provide a network perspective on the psychometrics and the brain.

    Sacha Epskamp | Network Modeling of Feelings Cognition and Behavior: An Introduction to Network Psychometrics

    In this talk I will introduce "network psychometrics" - an increasingly popular field of methods pioneered at the Psychological Methods program group aiming to map out the complex interplay between observed variables. I will present the theoretical foundations for network psychometrics show how such an analysis can be performed in R and discuss future directions in this area of research.


  • Psychology Forum #3: What's your prior? | Angelika Stefan & Julia Haaf

    Many researchers are aware of the many benefits it can have to switch from classical statistics to Bayesian. And yet, almost as many are hesitant to do the switch, and all because of the priors! In Bayesian analysis, researchers must make a priori commitments, and these commitments are made transparently as part of model specification.

    During this Psychological Forum you will learn about several ways to specify these a priori commitments. In the first talk, Julia Haaf will give an introduction to prior specification and the sometimes complicated terminology used around it. We will show which priors are appropriate for Bayesian estimation or Bayesian model comparison, and explain what a sensitivity analysis is.

    In the second talk, Angelika Stefan will discuss different approaches that can be used to formulate priors based on existing pre-data knowledge. Specifically, we will show how results from the scientific literature, theoretical convictions, and domain expert knowledge can shape prior distributions. We will present several concrete examples, and discuss how the formulation of the prior distribution influences the results of Bayesian analyses. There will be lots of time for discussion and to ask questions. Share your favorite priors, or discuss analysis problems where you did not know which priors to chose.