Julia M. Rohrer

Thinking Clearly About Correlations and Causation: Graphical Causal Models for Observational Data

Julia M. Rohrer · Advances in Methods and Practices in Psychological Science · 2018 · 1K citations · Full text

Public Health, Biostatistics, Causal Inference +14

Replicability, Robustness, and Reproducibility in Psychological Science

Brian A. Nosek, Tom E Hardwicke, Hannah Moshontz et al. · Annual Review of Psychology · 2021 · 739 citations · Full text

Public Health, Behavioral Sciences, Psychology +11

The Taboo Against Explicit Causal Inference in Nonexperimental Psychology

Michael P. Grosz, Julia M. Rohrer, Felix Thoemmes · Perspectives on Psychological Science · 2020 · 343 citations · Full text

Public Health, Behavioral Sciences, Psychology +13

That’s a Lot to Process! Pitfalls of Popular Path Models

Julia M. Rohrer, Paul Hünermund, Ruben C. Arslan et al. · Advances in Methods and Practices in Psychological Science · 2022 · 234 citations · Full text

Public Health, Behavioral Sciences, Psychology +15

Recommendations for Increasing the Transparency of Analysis of Preexisting Data Sets

Sara J. Weston, Stuart J. Ritchie, Julia M. Rohrer et al. · Advances in Methods and Practices in Psychological Science · 2019 · 221 citations · Full text

Public Health, Psychology, Data Management +13