Survey of Reality Shock and Impostor Phenomenon Among Newly Graduated Nurses in China

Liping Li's dataset contains survey responses from 381 newly graduated nurses in China collected between July 2024 and January 2025. The data likely includes scores from the Reality Shock Scale for Newly Graduated Nurses and the Clance Impostor Phenomenon Scale, alongside demographic variables. Results show a positive correlation between reality shock and impostor phenomenon scores.

Use Cases

• Analyze the relationship between impostor phenomenon and reality shock scores based on survey results.
• Identify factors affecting reality shock based on demographic variables like educational level and monthly income.
• Model the impact of work schedule (night shifts) on professional adaptation based on reported monthly night shift counts.

Strengths

• Includes 381 survey responses from newly graduated nurses.
• Data collection adhered to the STROBE Statement for reporting observational studies.
• Analysis accounted for 51.80% of the total variance in reality shock scores.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is from a convenience sample from 3 hospitals in China, which may reflect geographic and institutional bias.

Provenance

Source

Liping Li

Collection Method

Cross-sectional survey using convenience sampling from 3 tertiary grade-A hospitals in China.

Time Range

July 2024 to January 2025

Freshness

Last updated 2026-05-26 17:24:08; freshness should be verified.

Geography

China