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Psychological Pertubation

<p>This dataset contains data from 30 participants who completed the same questionnaire on meat consumption 12 times. The participant&rsquo;s opinion was perturbed on each of the 11 items and measured to what extent this changed the participant&rsquo;s scores on the questionnaire. It is a unique dataset that can be used for several purposes (Hoekstra et al., 2018).</p> <p>&nbsp;</p> <p><strong>Task: </strong>The dataset can be used to study causal discovery algorithms as Waldorp et al. (2021).</p> <p>&nbsp;</p> <p><strong>Summary:&nbsp;</strong></p> <ul> <li><strong>Size of dataset</strong>: 360 x 11</li> <li><strong>Task:</strong> Causal Discovery Problem</li> <li><strong>Data Type:</strong> Discrete Data</li> <li><strong>Dataset Scope:</strong> Standalone Dataset</li> <li><strong>Ground Truth:</strong> Unknown Graph</li> <li><strong>Temporal Structure:</strong> Static Data</li> <li><strong>License:</strong> CC BY 4.0 (see https://openpsychologydata.metajnl.com/articles/10.5334/jopd.37#dataset-description)</li> <li><strong>Missing Values:</strong> No Missing Values</li> </ul> <p>&nbsp;</p> <p><strong>Missingness Statement: </strong>There are no missing values.<strong><br></strong></p> <p>&nbsp;</p> <p><strong>Features: </strong>Each measurement is a a six-level factor with levels 1 (completely disagree) to 6 (completely agree)<strong><br></strong></p> <ul> <li><strong>moral</strong>: Eating meat is morally wrong</li> <li><strong>nutr</strong>: Meat contains important nutrients for your body</li> <li><strong>envir</strong>: The production of meat if harmful for the environment</li> <li><strong>infer</strong>: Animals are inferior to people</li> <li><strong>suff</strong>: By consuming meat you contribute to animal suffering</li> <li><strong>tax</strong>: There should be a tax on meat</li> <li><strong>taste</strong>: I like the taste of meat</li> <li><strong>death</strong>: Meat reminds me of death and suffering of animals</li> <li><strong>sad</strong>: If I had to stop eating meat I would feel sad</li> <li><strong>guilty</strong>: If I eat meat I feel guilty</li> <li><strong>disg</strong>: If I eat meat I feel disgust</li> </ul> <p>&nbsp;</p> <p>Files:&nbsp;</p> <ul> <li><strong>Data.csv</strong>: dateset</li> <li><strong>Waldorp2021_estimated_CD.csv:</strong> Estimated causal directions by Waldorp et al. (2021) via a conditional invariant prediction method.</li> </ul>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
20
Reuse readiness
8
Engagement
0

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