11 citations · 11 across the 2 of their papers we have counts for
3 papers
stat.ME2026
Effect Sizes in Marketing Research: Why Cohen's Local f^2 Belongs in the Toolkit
Wolfgang Messner
In an editorial in the Journal of Marketing, Steenkamp et al. (2026) make a valuable and timely intervention by urging marketing scholars to move beyond dichotomous significance te…
cs.CL2023★ 11 cited
From Bytes to Biases: Investigating the Cultural Self-Perception of Large Language Models
Wolfgang Messner, Tatum Greene, Josephine Matalone
Large language models (LLMs) are able to engage in natural-sounding conversations with humans, showcasing unprecedented capabilities for information retrieval and automated decisio…
stat.ME2023
Hypothesis Testing and Machine Learning: Interpreting Variable Effects in Deep Artificial Neural Networks using Cohen's f2
Wolfgang Messner
Deep artificial neural networks show high predictive performance in many fields, but they do not afford statistical inferences and their black-box operations are too complicated fo…