4 papers
Automated reproducibility assessments in the social and behavioral sciences using large language models
Tobias Holtdirk, Pietro Marcolongo, Anna Steinberg Schulten +7
Reproducibility in the social and behavioral sciences is typically evaluated by independent researchers who reanalyze the original data to assess whether the published findings can…
In-Context Learning for the Imputation of Public Opinion Data with Large Language Models
Tobias Holtdirk, Georg Ahnert, Joseph W Sakshaug +1
Large language models have been widely evaluated as simulators of individual survey responses. In practice, however, fully unobserved responses are rare; the dominant problem is pa…
Learning from Convenience Samples: Fine-Tuning LLMs to Predict Voting Choices from Biased Survey Samples
Tobias Holtdirk, Dennis Assenmacher, Arnim Bleier +1
Survey research increasingly relies on convenience samples as rising costs and nonresponse make representative probability sampling more difficult. This creates a central challenge…
Computational Reproducibility of R Code Supplements on OSF
Lorraine Saju, Tobias Holtdirk, Meetkumar Pravinbhai Mangroliya +1
Computational reproducibility is fundamental to scientific research, yet many published code supplements lack the necessary documentation to recreate their computational environmen…