This repository provides the reproducible research materials for our project that investigates the characteristics of dogs, owners, and their interaction that predict dog training success. This includes the following:
- Data
- R script for data analysis
- R Markdown file for the manuscript
- R Markdown file for supplementary materials
If you use any of these materials, please cite:
Thayer, E.R. & Stevens, J.R. (2021). Effects of human-animal interactions on affect and cognition. PsyArXiv. doi: 10.31234/osf.io/7v5nq
Two experiments were conducted with 73 and 84 participants from the University of Nebraska-Lincoln Department of Psychology undergraduate participant pool between September-November 2018 and November 2018-April 2019. Each experiment generated two data files: one for the primary affective, cognitive, and pet-related measures for each participant and one with the survey item responses for calculating Cronbach’s alpha. For each of these data files, both experiments are included and labeled. For the primary analysis data file, each row represents all of a single participant’s responses. For the survey item data file, each row represents a participant’s responses to a particular survey.
All materials presented here are released under the Creative Commons Attribution 4.0 International Public License (CC BY 4.0). You are free to:
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No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
thayer_stevens_2021_data1.csv (primary affective and cognitive data
set)
- experiment - experiment number (1 or 2)
- date - date participant completed experiment
- participant - participant number
- condition - experimental condition (hai = human-animal interaction, control)
- age_num - participant age
- gender - participant gender
- race - participant race/ethnicity
- parent_income - participant’s parental income
- pas - Pet Attitude Scale mean score
- pets_now - response to whether participant currently has pet (1 = yes, 0 = now)
- pets_child - response to whether participant had pet as child (1 = yes, 0 = now)
- dog_discomfort_revkey - response to Gee et al.’s discomfort toward dog (reverse coded)
- dog_ambivalence_revkey - response to Gee et al.’s ambivalence toward dogreverse coded)
- dog_desire_to_interact - response to Gee et al.’s desire to interact with dog
- dog_comfort - response to Gee et al.’s comfort toward dogreverse coded)
- duration_interaction - duration of interaction with dog (in seconds)
- panas_pre_neg - pre-condition PANAS score for negative affect
- panas_pre_pos - pre-condition PANAS score for positive affect
- panas_post_neg - post-condition PANAS score for negative affect
- panas_post_pos - post-condition PANAS score for positive affect
- panas_pos_diff - pre-post difference for PANAS score for positive affect
- panas_neg_diff - pre-post difference for PANAS score for negative affect
- vas_anxiety_pre - pre-condition visual analog scale for anxiety
- vas_anxiety_post - post-condition visual analog scale for anxiety
- vas_stress_pre - pre-condition visual analog scale for stress
- vas_stress_post - post-condition visual analog scale for stress
- stai_trait - trait score of State-Trait Anxiety Index
- stai_state - state score of State-Trait Anxiety Index
- drm_accuracy - accuracy score for Deese-Roedinger-McDermott long-term memory task
- drm_d_prime - d’ score for Deese-Roedinger-McDermott long-term memory task
- ncpc_pre_diff - pre-condition difference between second and first trial of Necker Cube Pattern Control Test
- ncpc_post_diff - post-condition difference between second and first trial of Necker Cube Pattern Control Test
- ncpc_diff - pre-post difference for difference between second and first trial of Necker Cube Pattern Control Test
- bds_index_pre - pre-condition backwards digit span index
- bds_index_post - post-condition backwards digit span index
- bds_index_diff - pre-post difference for backwards digit span index
- nback_d_prime_pre - pre-condition d’ for n-back task
- nback_d_prime_post - post-condition d’ for n-back task
- nback_d_prime_diff - pre-post difference for d’ for n-back task
thayer_stevens_2021_data2.csv (item-specific data for calculating
reliability)
- item_1-item_20 - individual items (surveys differ on number of items, so NAs represent no items)
- survey - name of survey
thayer_stevens_2021_rcode.R - code for running computations and
generating figures
thayer_stevens_2021.Rmd - R Markdown document with R code embedded for
main manuscript thayer_stevens_2021_SM.Rmd - R Markdown document with
R code embedded for supplementary materials
To reproduce these results, first clone or unzip the Git repository into
a folder. Then, ensure that subfolders named data/, docs/,
figures/, and R/ are in the folder. The best way to work with this
material is to open the haicognition2021.Rproj file in RStudio. Next,
open thayer_stevens_2021_rcode.R 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("thayer_stevens_2021_rcode.R").
Once the script runs without errors, you can compile the R Markdown
document thayer_stevens_2021.Rmd. Open this file in RStudio and ensure
that you have packages {knitr} and
{rmarkdown} installed. Once
installed, use {knitr} to render the document (control-shift-k). Use the
same process to render thayer_stevens_2021_SM.Rmd.
The following table is necessary for this dataset to be indexed by search engines such as Google Dataset Search.
| property | value | ||||||
|---|---|---|---|---|---|---|---|
| name |
Effects of human-animal interactions on affect and
cognition dataset
|
||||||
| description |
The dataset from the paper [Effects of
human-animal interactions on affect and
cognition](https://doi.org/10.31234/osf.io/7v5nq). Two experiments were
conducted with 73 and 84 participants from the University of
Nebraska-Lincoln Department of Psychology undergraduate participant pool
between September-November 2018 and November 2018-April 2019. Each
experiment generated two data files: one for the primary affective,
cognitive, and pet-related measures for each participant and one with
the survey item responses for calculating Cronbach’s alpha. For each of
these data files, both experiments are included and labeled. For the
primary analysis data file, each row represents all of a single
participant’s responses. For the survey item data file, each row
represents a participant’s responses to a particular survey.
|
||||||
| url |
https://github.com/unl-cchil/haicognition2021
|
||||||
| sameAs |
https://github.com/unl-cchil/haicognition2021
|
||||||
| citation |
https://doi.org/10.31234/osf.io/7v5nq
|
||||||
| license |
|