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Experiments in daily life: When causal within-person effects do (not) translate into between-person differences
Andreas B Neubauer1, Peter Koval2, Michael J Zyphur3
1Institute of Psychology, RWTH Aachen University.
Micro-randomized interventions in intensive longitudinal designs can reveal within-person causal effects. These effects translate to between-person differences unless counteracted by factors like context or interactions.
Area of Science:
- Psychological science
- Methodology
- Behavioral research
Background:
- Intensive longitudinal designs capture daily life psychological dynamics.
- Observational nature limits causal inference.
- Micro-randomized interventions offer a solution for within-person (Wp) causal effects.
Purpose of the Study:
- Investigate the translation of Wp causal effects to between-person (Bp) differences.
- Identify factors that may hinder this translation.
- Provide guidance for designing and analyzing micro-randomized experiments.
Main Methods:
- Analytical derivations and simulations to model Wp and Bp effects.
- Examination of counteracting forces: contextual effects, correlated random effects, and cross-level interactions.
- Empirical illustration using a 10-day microrandomized mindfulness intervention.
Main Results:
- Wp causal effects translate to Bp differences in the absence of counteracting forces.
- Contextual effects, correlated random effects, and cross-level interactions can disrupt this translation.
- Demonstrated translation and potential disruptions using simulated and empirical data.
Conclusions:
- Micro-randomized interventions within intensive longitudinal designs are valuable for causal inference.
- Understanding cross-level translation is crucial for interpreting findings.
- Recommendations provided for experimental design and statistical analysis.
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