Thinking clearly about correlations and causation: Graphical causal models for 
observational data

Rohrer, Julia M.

doi:10.1177/2515245917745629

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

Thinking clearly about correlations and causation: Graphical causal models for observational data

MPS-Authors

/persons/resource/persons214318

Rohrer, Julia M.
International Max Planck Research School on the Life Course (LIFE), Max Planck Institute for Human Development, Max Planck Society;

External Resource

https://doi.org/10.1177/2515245917745629
(Publisher version)

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

Rohrer_Thinking_2018_VerlPDF_final_LS.pdf
(Publisher version), 288KB

Supplementary Material (public)

There is no public supplementary material available

Citation

Rohrer, J. M. (2018). Thinking clearly about correlations and causation: Graphical causal models for observational data. Advances in Methods and Practices in Psychological Science, 1(1), 27-42. doi:10.1177/2515245917745629.

Cite as: https://hdl.handle.net/21.11116/0000-0006-5734-E

Abstract

There is no abstract available