- 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
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
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.
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.
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 |
deboer_etal_2024_rcode.R - code for running computations and
generating figures
deboer_etal_2024.Rmd - R Markdown document with R code embedded for
main manuscript and appendix
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).
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 |
https://github.com/unl-cchil/dognumber
|
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| sameAs |
https://github.com/unl-cchil/dognumber
|
||||||
| citation |
https://doi.org/10.31234/osf.io/rn8gq
|
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| license |
|