Student Personality Traits and Academic Dishonesty Correlations

Julia Sánchez-García's 2026 figshare dataset contains results from a correlational analysis of personality and academic dishonesty. The study uses self-report data from 175 undergraduate students with a mean age of 21.88 years. It examines relationships between Big Five and Dark Tetrad personality traits, moral disengagement, and dishonest academic behaviors.

Use Cases

• Analyze correlations between Big Five personality traits (e.g., extraversion, neuroticism) and self-reported academic dishonesty scores.
• Investigate the relationship between Dark Tetrad traits and measures of dishonest academic behavior.
• Explore moral disengagement as a potential mediator variable between personality features and dishonesty outcomes.
• Compare results from traditional personality assessments with those from gamified personality measures used in the study.

Strengths

• Includes data from 175 undergraduate student participants.
• Provides multiple psychological constructs: Big Five, Dark Tetrad, moral disengagement, and academic dishonesty.
• Dataset is openly available under a CC-BY-4.0 license.

Limitations

• Small sample size of 175 limits statistical power and generalizability.
• Data is self-reported, which may introduce social desirability bias.
• Limited geographic and demographic scope from a single undergraduate sample.

Provenance

Source

Julia Sánchez-García via figshare.

Collection Method

Self-report measures completed by undergraduate students, including traditional and gamified personality assessments.

Time Range

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Freshness

Last updated in April 2026.

Geography

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