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Updated: Sep 23, 2025

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
Published on: August 7, 2017
The only thing that can stop bad causal inference is good causal inference
Julia M Rohrer1, Stefan C Schmukle1, Richard McElreath2
1Department of Psychology, Leipzig University, D-04109Leipzig, Germanyjulia.rohrer@uni-leipzig.de; schmukle@uni-leipzig.de; www.juliarohrer.com; https://home.uni-leipzig.de/diffdiag/pppd/?page_id=101.
Psychology often uses casual causal inference, neglecting unstated assumptions and potential flaws. The field needs to adopt established frameworks for robust causal inference and generalizability.
Area of Science:
- Psychology
- Causal Inference
- Generalizability
Background:
- Causal inference in psychology is frequently conducted informally.
- Assumptions underlying causal inference are often unstated.
- Potential limitations are typically identified retrospectively.
Purpose of the Study:
- To advocate for the adoption of coherent frameworks in psychological research.
- To address the informal approach to causal inference and generalizability.
- To encourage the integration of established methodologies from other fields.
Main Methods:
- This study is a conceptual review and theoretical argument.
- It analyzes the current state of causal inference in psychological research.
- It draws upon existing frameworks from related scientific disciplines.
Main Results:
- Current practices in psychological causal inference lack rigor.
- Unarticulated assumptions and retrospective identification of flaws hinder scientific progress.
- Established frameworks offer more systematic approaches.
Conclusions:
- Psychology should transition from casual causal inference to structured, coherent frameworks.
- Adopting established methods will improve the validity and generalizability of research findings.
- This shift is crucial for advancing the field of psychology.
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