University Student Ethical Judgment Survey of 659 Madrid Students
by Berumen, Sergio A. / e-cienciaDatos Harvested Dataverse·Updated 7mo ago
Available on 1 platform
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Description
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.
License is unknown; terms of use must be verified before application.