Statistical Study Analysis – VR Study Nursing Education
Scientific support and statistical analysis strategy for a randomized controlled intervention study on VR training in nursing education.
About the Project
A randomized controlled study investigated whether VR training in nursing education leads to higher self-confidence, better knowledge and greater satisfaction compared to conventional methods.
The Problem
A complex study structure with multiple measurement points (T0, T1, T2), control and intervention groups and three primary outcome parameters required a methodologically sound analysis strategy.
Scientific Support
Descriptive statistics for sociodemographics and dropout rates. t-tests and ANOVA for the three outcome parameters across all measurement points. ANCOVA controlling for sociodemographic covariates. p-value calculation for all 6 hypothesis combinations. Results prepared for scientific publication.
Highlights
- Statistical analysis strategy for randomized controlled study
- Three primary outcome parameters analyzed across three measurement points
- p-values calculated for all 6 hypothesis combinations
- Results prepared comprehensibly for interdisciplinary team
Challenges
Complex study structure with multiple measurement points and groups. Results had to be prepared comprehensibly for an interdisciplinary team.
Results
Robust statistical foundation for scientific publication. Clear recommendations for study design. Results prepared publication-ready.
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