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Do dogs follow Weber’s Law? The role of ratio and difference in quantity preference

  • Created on 2024-09-23 by Jeffrey R. Stevens ([email protected])
  • Finalized on 2024-10-02

This repository provides the reproducible research materials for our project that investigates how dogs quantify amounts of food differently depending on their numerical ratio and difference. Materials are available at Open Science Framework:

  • Data
  • R script for data analysis
  • R Markdown file for the manuscript

Citation

If you use any of these materials, please cite:

de Boer, H., Fitzpatrick, H., Wolff, L.M., Gatesy-Davis, A., & Stevens, J.R. (2024). Do dogs follow Weber’s Law? The role of ratio and difference in quantity preference. doi:10.31234/osf.io/rn8gq

Summary

This study conducted 10 sessions of a food quantity preference task with 7 dogs at Uplifting Paws dog daycare center in Lincoln, Nebraska from March-July 2023. Within each session dogs experienced one trial of each of nine numerical pairs varying in their numerical difference (large-small) and ratio (small/large) and two trials of a [1,6] ‘washout’ pair. In addition, the dataset includes data from Rivas-Blanco et al. (2020) on dog and wolf quantity discrimination. In the data file, each row represents the information and choice for a single trial for one subject.

License

All materials presented here are released under the Creative Commons Attribution 4.0 International Public License (CC BY 4.0). You are free to:

  • Share — copy and redistribute the material in any medium or format
  • Adapt — remix, transform, and build upon the material for any purpose, even commercially. Under the following terms:
  • Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Files

Data files

deboer_etal_2024_data.csv

Variable Description
study Study (Current Study or Rivas-Blanco et al. 2020)
dog_id Subject ID
date Session date
session Session number (includes failed sessions)
block Block number (only includes completed sessions)
trial Trial number
pair Numerical pair (small:large)
small Small amount
large Large amount
diff Numerical difference (large - small)
ratio Numerical ratio (small / large)
large_side Side of the large amount
choice_side Side of chosen option
choice Choice of larger amount (1 = large, 0 = small)
recode_side Side of recoded choice
dog_age Subject age
dog_sex Subject sex
dog_neutered Sex neuter status (Yes = neutered/spayed, No = intact
dog_weight Subject weight
dias_overall Dog Impulsivity Assessment Scale overall score
owner_age Owner age
owner_gender Owner gender
owner_marital_status Owner marital status
employment_status Owner employment status
household_income Owner household income

R code

deboer_etal_2024_rcode.R - code for running computations and generating figures

R Markdown documents

deboer_etal_2024.Rmd - R Markdown document with R code embedded for main manuscript and appendix

Installation

To reproduce these results, first clone or unzip the Git repository into a folder. Then, ensure that a subfolder named “figures” is in the folder. Next, open deboer_etal_2024_rcode.R in RStudio or another R interface and ensure that all packages mentioned at the top of the script are installed. Once all packages are installed, run the script in R using source("deboer_etal_2024_rcode.R").

Once the script runs without errors, you can compile the R Markdown document deboer_etal_2024.Rmd. Open this file in RStudio and ensure that you have {knitr} and Quarto installed. Once installed, render the document (control-shift-K).

Dataset Metadata

The following table is necessary for this dataset to be indexed by search engines such as Google Dataset Search.

property value
name Dog food quantity preference dataset
description The dataset from the paper Do dogs follow Weber’s Law? The role of ratio and difference in quantity preference. This study conducted 10 sessions of a food quantity preference task with 7 dogs at Uplifting Paws dog daycare center in Lincoln, Nebraska from March-July 2023. Within each session dogs experienced one trial of each of nine numerical pairs varying in their numerical difference (large-small) and ratio (small/large) and two trials of a [1,6] ‘washout’ pair. In addition, the dataset includes data from [Rivas-Blanco et al. (2020)](https://doi.org/10.3389/fpsyg.2020.573317) on dog and wolf quantity discrimination. In the data file, each row represents the information and choice for a single trial for one subject.
url
sameAs https://github.com/unl-cchil/dognumber
citation https://doi.org/10.31234/osf.io/rn8gq
license
property value
name CC BY-SA 4.0
url