A free teaching activity for evaluating AI literature-search assistants through repeated use rather than one polished response. Learners run the same scholarly-search task three times, preserve visible sources, log test conditions and access …
The Open Lab platform empowers researchers to collect rich datasets by combining lab.js tasks with Open Lab's own study-building logic and participant-management system: lab.js provides the interactive tasks and surveys, while Open Lab adds the study …
SMAAT (Sensor-based Mobile Application for Assessment and Tracking) lets you design studies, schedule experience sampling, and collect encrypted survey and sensor data from iOS and Android participants — with real-time compliance dashboards, …
This presentation contains a concise introduction to the topics of Open Science, Open Access, Open Data, and Open Code. It is specifically designed for PhD students in business studies and economics.
Feel free to adapt the content to suit your …
This website offers an open science curriculum that was created by a global community of practitioners and scholars. It offers resources for teaching and studying open science techniques and was created as a part of the NASA Transform to Open Science …
This student project involved creating likelihood functions for the Bayesian estimation of cognitive parameters behind choices and response times in R, for the R package EMC2 of the Amsterdam Mathematical Psychology Lab. Particularly, the likelihood …
This student-led replication study tested the negativity bias hypothesis—the idea that people react more strongly to negative than positive news—using a preregistered, well-powered design in the Netherlands. It replicated key findings from Soroka et …
This student-led replication study tested the negativity bias hypothesis, the idea that people react more strongly to negative than positive news, using a preregistered, well-powered design in the Netherlands. It replicated key findings from Soroka …
This thesis examines schizotypal personality traits, risk factors for schizophrenia, through both frequentist and Bayesian network models. It replicates a prior frequentist analysis by Dodell-Feder et al. (2019) and introduces a Bayesian re-analysis …