Preprint: https://osf.io/preprints/psyarxiv/e58br_v1
Welcome to the repository for the paper "Cause and Fault in Development". This repository contains the experiments, data, analyses, and figures that support the research.
- David Rose★†¹
- Cici Hou★²
- Shaun Nichols³
- Tobias Gerstenberg¹
- Ellen M. Markman¹
¹ Department of Psychology, Stanford University
² Department of Computer Science, Stanford University
³ Department of Philosophy, Cornell University
★ joint first authors
† [email protected]
Responsibility requires causation. But there are different kinds of causes. Some are connected to their effects; others are disconnected. We ask how children's developing ability to distinguish causes relates to their understanding of moral responsibility. We found in Experiment 1 that when Andy hits Suzy with his bike, she falls into a fence and it breaks, 3-year-old children treated "caused", "break" and "fault" as referring to the direct cause, Suzy. By 4, they differentiated causes: Andy "caused" the fence to break, it's his "fault", but Suzy "broke" it. We found in Experiment 2 that when the chain involved disconnection, 3-year-olds focused only on the direct cause. Around 5 they distinguished causes, saying that the disconnecting cause "caused" an object to break, it’s their "fault", but the direct cause "broke" it. Our findings relate to the outcome-to-intention shift in moral responsibility and suggest a more fundamental shift in children's understanding of causation.
├── appendix
├── code
│ ├── R
│ ├── experiments
│ └── python
├── data
├── docs
└── figures
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appendix/: Contains additional information and analyses not included in the paper.appendix.pdf: The appendix document.
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code/: All code for running experiments, analyzing data, and generating figures.experiments/: Experiment-specific code, including pre-registrations available via the Open Science Framework:- Experiment 1
- Fault question first ordering (pre-registration)
- Fault question last ordering (pre-registration)
- Experiment 2 (pre-registration)
- Experiment 1
R/: Scripts for data analysis and figure generation. See a rendered file here.
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data/: Contains anonymized datasets for all experiments. -
docs/: Contains a visualization of the analysis script incode/R/. -
figures/: All figures used in the paper, generated using scripts incode/R/.
- Experiments involving children were conducted using Lookit.
- Pre-registrations for all experiments are accessible on the Open Science Framework (links provided in the Repository Structure).
What is a CRediT author statement?
| Term | David Rose | Cici Hou | Shaun Nichols | Tobias Gerstenberg | Ellen M. Markman |
|---|---|---|---|---|---|
| Conceptualization | X | X | X | X | X |
| Methodology | X | X | X | X | |
| Software | X | X | |||
| Validation | X | X | |||
| Formal analysis | X | X | |||
| Investigation | X | X | |||
| Resources | X | ||||
| Data Curation | X | ||||
| Writing – Original Draft | X | X | |||
| Writing – Review & Editing | X | X | X | X | X |
| Visualization | X | X | |||
| Supervision | X | X | X | X | |
| Project administration | X | X | X | X | |
| Funding acquisition | X |
