The .05 boundary within Null Hypothesis Statistical Testing (NHST) “has made a lot of people very angry and been widely regarded as a bad move” (to quote Douglas Adams). Here, we move past meta-scientific arguments and ask an empirical question: What …
Objectives
To investigate the model-, code-, and data-sharing practices in the current radiomics research landscape and to introduce a radiomics research database.
Methods
A total of 1254 articles published between January 1, 2021, and December 31, …
As an educational tool, the Checklist can be used to teach and improve the standards of transparency and credibility in research reports made by students. The aim is that students are embedded in transparent and open practices from the beginning of …
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 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 (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 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 …
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 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 …