Manipulation Checks and Causal Relationships in Psychology
Author Information
Author(s): Han Yuhwa, Lee Wooyeol
Primary Institution: Chungbuk National University
Hypothesis
How do manipulation checks interfere with the inference of causal relationships?
Conclusion
The study found that successful manipulation and low measurement error lead to unstable mediation analysis results.
Supporting Evidence
- When manipulation is successful and measurement error is low, mediation analyses can yield unstable results.
- Individual differences in psychological attributes can affect the validity of experimental manipulations.
- High multicollinearity can distort the results of mediation analysis.
Takeaway
This study looks at how checking if a psychological experiment worked can sometimes make it harder to understand the results.
Methodology
The study used Monte Carlo simulations to analyze the effects of manipulation intensity and measurement error on mediation analysis.
Potential Biases
High multicollinearity between variables can distort mediation analysis results.
Limitations
The simulation conditions did not reflect real-world data and assumed normal distributions and linear relationships.
Participant Demographics
Participants were divided into two experimental conditions, each with 50 individuals.
Digital Object Identifier (DOI)
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