University Student Ethical Judgment Survey of 659 Madrid Students

659 university students in Madrid responded to a survey on dishonest behaviors like cheating and plagiarism. The database was created to study sensitivity towards self-committed and observed dishonest actions, evaluating ethical judgment on severity and blame. Multivariate statistical methods, including K-means cluster analysis, were used to classify individuals into profiles based on their judgment and tendency to commit dishonest acts.

Use Cases

• Cluster analysis to identify student ethical profiles based on judgment severity and action tendency mentioned in the description.
• Correlation studies on the relationship between personal dishonesty and tolerance of others' dishonesty.
• Linear discriminant analysis to classify individuals as more or less honest based on survey responses.
• Modeling the transition from unethical thought to action using the survey's intensity variable.

Strengths

• Survey responses from 659 university students provide a substantive sample size.
• Multivariate methodologies including K-means cluster and discriminant analysis are documented.
• Focus on three specific dishonest behaviors: cheating, deception, and plagiarism.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Geographic coverage is limited to university students in Madrid, which may limit generalizability.
• Row count is unknown, which may limit suitability assessment for some modeling tasks.

Provenance

Source

Berumen, Sergio A., via e-cienciaDatos Harvested Dataverse.

Collection Method

Survey responses from university students.

Time Range

null

Freshness

Last updated 2025-10-14 21:51:28; freshness should be verified.

Geography

Madrid, Spain.