How Do Analysts Understand and Verify AI-Assisted Data Analyses?
Data analysis is challenging as it requires synthesizing domain knowledge, statistical
expertise, and programming skills. Assistants powered by large language models (LLMs) …
expertise, and programming skills. Assistants powered by large language models (LLMs) …
Understanding and supporting debugging workflows in multiverse analysis
Multiverse analysis—a paradigm for statistical analysis that considers all combinations of
reasonable analysis choices in parallel—promises to improve transparency and …
reasonable analysis choices in parallel—promises to improve transparency and …
[PDF][PDF] Is social research really not better than alchemy? How many-analysts studies produce “a hidden universe of uncertainty” by not following meta-analytical …
Starting with Silberzahn and Uhlmann (2015), many-analysts studies have become a
popular design to examine the robustness and credibility of scientific research. We argue …
popular design to examine the robustness and credibility of scientific research. We argue …
How Robust are Educational Mobility Analyses to Researcher Analytical Decisions?
E Strömberg - 2022 - diva-portal.org
As robustness of social science is getting more attention, analytical choices have been
found to be more important than previously thought. This thesis investigates robustness of …
found to be more important than previously thought. This thesis investigates robustness of …
[PDF][PDF] Quantifying analytical heterogeneity: The impact of violating the random-effects model's independence assumption
D Scherer - 2023 - diglib.uibk.ac.at
Abstract In 2015, Silberzahn and Uhlmann (2015) introduced the concept of crowdsourcing
data sets to multiple researchers asking them to analyse the same hypothesis. Several other …
data sets to multiple researchers asking them to analyse the same hypothesis. Several other …