Reproducible Analyses

 

How to Test AI Research Tools: A Repeatability Worksheet and Worked Example

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 …

Samply

Samply schedules push notifications to study participants on a flexible, repeating cadence. It works for any longitudinal design — daily diaries, experience-sampling, intervention studies, clinical trials — wherever you need to reach participants …

SMAAT

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, …

Defining Effect Sizes

This guide offers detailed instructions for calculating effect sizes and confidence intervals, which are frequently utilized in the social and behavioral sciences. It provides background information, useful tools, and advice for situations in which …

DES RAP Book: Reproducible Discrete-Event Simulation in Python and R

Step-by-step guide for building Python and R simulation models as part of a reproducible analytical pipeline (RAP).

Replicating and Extending Soroka, Fournier, and Nir: Negative News Increases Arousal and Negative Affect

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 …

The Web of Schizotypal Personality Traits: Frequentist Network Replication and Bayesian Network Re-Analysis

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 …

Bacillus Calmette-Guérin vaccine to reduce COVID-19 infections and hospitalisations in healthcare workers – a living systematic review and prospective ALL-IN meta-analysis of individual participant data from randomised controlled trials

The ALL-IN-META-BCG-CORONA project is a prospective, living meta-analysis of clinical trials examining whether the BCG vaccine offers protection against COVID-19. It introduced a bottom-up approach to meta-analysis, emphasizing equal collaboration …

OpenMReye: camera-free magnetic resonance-based eye tracking for research and clinical applications

OpenMReye is an open-source toolset that enables eye tracking directly from MRI signals, eliminating the need for expensive MR-compatible camera systems. By using computational methods instead of hardware, it dramatically reduces costs, works on …

Open Science and Reproducible Research, Karolinska Institutet 2022 (fall)

Course Structure: Lectures, Lecture Seminars, Practical Sessions, Examination (Essay)
JUST-OS