<p>Descriptive statistics for the IPP 30 and SCS.</p>

A 2026 dataset by Kristýna Krejčová contains descriptive statistics from a psychological study of 601 Czech university students. It examines the association between impostor phenomenon, measured by the Impostor-Profile 30, and self-compassion, measured by the Self-Compassion Scale. The data supports correlation, regression, and structural equation modeling analyses presented in the associated research.

Use Cases

• Correlational analysis between impostor phenomenon subscales and self-compassion dimensions based on the described measures.
• Regression modeling to predict competence doubt from self-compassion subscales based on the reported R² and F-statistic.
• Structural equation modeling to test the relationship model between negative/positive self-compassion and impostor phenomenon based on the reported CFI, TLI, and RMSEA.
• Comparative analysis of psychological constructs across a specific demographic of university students.

Strengths

• Dataset is based on a sample of 601 participants, providing a substantive basis for analysis.
• Includes data from 368 women and reports a mean age of 23.46 (SD=3.05), offering clear demographic context.
• Associated statistical results (e.g., R²=.26, CFI=.99) are provided, allowing for validation of analyses.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• The 5.5 KB file size suggests the dataset likely contains summary statistics, not raw individual response data.

Provenance

Source

Kristýna Krejčová via 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 17:22:00.

Geography

Czech Republic.