Psychological Assessment Data for 84 Chinese Mountaineers

A dataset contains psychological assessment scores for 84 Chinese mountaineers, including 53 elite and 31 non-elite participants. The data was collected using a cross-sectional exploratory design with 15 psychological indicators and analyzed via principal component analysis to develop a performance-based evaluation framework. Author Kexiang Yang published the study on figshare in 2026.

Use Cases

• Compare scores on 15 psychological indicators like Perseverance and Goal Clarity between elite and non-elite mountaineer groups.
• Apply principal component analysis to the 15 indicators to replicate the four-component structure (Willpower, Psychological Skills, Anxiety Level, Tenacity).
• Calculate a weighted composite score from normalized component loadings to differentiate elite from non-elite performance.
• Examine effect sizes (e.g., d = 0.66 for Perseverance) for the 10 indicators that significantly differed between elite and non-elite groups.

Strengths

• Includes data from 84 participants, a notable sample given the specialized population of elite mountaineers.
• Assesses 15 distinct psychological indicators using validated Chinese-language instruments.
• Analysis identifies a four-component psychological structure explaining the total variance in the data.
• Clear differentiation between 53 elite and 31 non-elite mountaineers provides a basis for comparative analysis.

Limitations

• Small sample size of 84 limits statistical power and generalizability of findings.
• Cross-sectional design prevents analysis of psychological changes over time or causal inference.
• Data is contained in a 681.9 KB DOCX file, requiring extraction for computational analysis and limiting immediate machine-readability.

Provenance

Source

figshare, author Kexiang Yang.

Collection Method

Cross-sectional exploratory study using validated psychological instruments.

Time Range

null

Freshness

Last updated in March 2026.

Geography

China (Chinese mountaineers).