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Cause and Fault in Development

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.

👥 Authors

  • 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
davdrose@stanford.edu

📖 Table of Contents

💡 Introduction

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.

Methodology

📂 Repository Structure

├── appendix
├── code
│   ├── R
│   ├── experiments
│   └── python
├── data
├── docs
└── figures

🔍 Detailed Breakdown

  • appendix/: Contains additional information and analyses not included in the paper.

  • code/: All code for running experiments, analyzing data, and generating figures.

    • experiments/: Experiment-specific code, including pre-registrations available via the Open Science Framework:
    • R/: Scripts for data analysis and figure generation. See a rendered file here.
  • data/: Contains anonymized datasets for all experiments.

  • docs/: Contains a visualization of the analysis script in code/R/.

  • figures/: All figures used in the paper, generated using scripts in code/R/.

🔬 About the Experiments

  • 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).

🖋️ CRediT author statement

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

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Materials for the paper "Cause and fault in development" by David Rose, Cici Hou, Shaun Nichols, Tobias Gerstenberg and Ellen Markman..

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