<p>Correlation matrix (Pearson’s r).</p>

601 Czech university students (368 women, mean age 23.46) participated in a study examining the association between impostor phenomenon and self-compassion. The dataset contains a correlation matrix (Pearson's r) and results from regression and structural equation modeling analyses. It was authored by Kristýna Krejčová and published on figshare under a CC-BY-4.0 license.

Use Cases

• Analyze correlations between competence doubt and self-compassion dimensions like isolation and overidentification.
• Validate regression models predicting impostor phenomenon scores from self-compassion subscales.
• Examine structural equation models linking negative and positive self-compassion dimensions to impostor phenomenon.
• Compare psychological constructs across different demographic groups within a university student sample.

Strengths

• Dataset includes results from 601 participants, providing a moderate sample size.
• Analysis includes multiple statistical methods: correlation, regression (R² = .26), and structural equation modeling (CFI = .99, TLI = .99, RMSEA = .031).
• Specific demographic details are provided: 368 women, mean age 23.46 (SD 3.05).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (9.5 KB), indicating limited scope, likely containing only summary statistics.

Provenance

Source

figshare

Collection Method

Survey data collected from Czech university students using the Impostor-Profile 30 and Self-Compassion Scale.

Freshness

Last updated 2026-05-27 17:22:02; freshness should be verified.

Geography

Czech Republic