Rohrer, Julia M.

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

Rohrer, J. M. (2018) · Advances in Methods and Practices in Psychological Science

Advanced Causal Inference TechniquesBayesian Modeling and Causal Inference

Cited by 1,002

Replicability, Robustness, and Reproducibility in Psychological Science

Nosek, B. A., Hardwicke, T. E., Moshontz, H., Allard, A., Corker, K. S., Dreber, A., Fidler, F., Hilgard, J., Kline Struhl, M., Nuijten, M. B., et al. (2022) · Annual Review of Psychology

Psychology Research and BibliometricsMeta-analysis and systematic reviews

Cited by 770

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

Rohrer, J. M., Hünermund, P., Arslan, R. C., & Elson, M. (2022) · Advances in Methods and Practices in Psychological Science

Advanced Causal Inference TechniquesPsychometric Methodologies and Testing

Cited by 267

Easy as (Happiness) Pie? A Critical Evaluation of a Popular Model of the Determinants of Well-Being

Brown, N. J. L., & Rohrer, J. M. (2020) · Journal of Happiness Studies

Psychological Well-being and Life SatisfactionOptimism, Hope, and Well-being

Cited by 64

Causal inference on human behaviour

Bailey, D. H., Jung, A. J., Beltz, A. M., Eronen, M. I., Gische, C., Hamaker, E. L., Kording, K. P., Lebel, C., Lindquist, M. A., Moeller, J., et al. (2024) · Nature Human Behaviour

Advanced Causal Inference TechniquesPhilosophy of Biology and Scientific Explanation

Cited by 56