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Estimating indicator weights for the motor health of pre-school-aged children: an integrated-methods approach
Dongxu Du1, Linyan Chai2, Qiang Fu3
1Sports Academy, Zunyi Normal University, Zunyi, China.
Insights
This study introduces an integrated method to weight indicators for assessing preschool children's motor health. The approach combines subjective expert opinions with objective data patterns for more reliable evaluations.
Area of Science:
- Pediatrics
- Child Development
- Health Evaluation Systems
Background:
- Preschool children's motor health is crucial for long-term development.
- Establishing multi-dimensional health evaluation indicator weighting systems is a significant research challenge.
- Existing methods may lack comprehensive consideration of subjective and objective factors.
Purpose of the Study:
- To develop and validate an integrated subjective-objective weighting method for preschool children's motor health indicators.
- To establish a rational and credible weighting system for comprehensive motor health assessment.
Main Methods:
- Utilized an integrated subjective-objective weighting method combining Delphi (subjective) and entropy (objective) weighting.
- Employed statistical software (WPS Office, IBM SPSS Statistics, and IBM SPSS Amos) for data analysis.
- Analyzed correlations between different weighting methods at primary and secondary indicator levels.
Main Results:
- The integrated method established weights for 6 primary (0.109-0.213) and 26 secondary (0.014-0.215) indicators.
- Strong correlations were found between the comprehensive weighting method and both Delphi and entropy methods for secondary indicators (p < 0.001 and p = 0.003, respectively).
- No significant correlations were observed between Delphi and entropy methods for primary indicators (p > 0.05).
Conclusions:
- The integrated subjective-objective weighting method provides a rational and credible foundation for evaluating motor health indicators.
- This dual-foundation approach, combining data patterns and expert experience, offers valuable insights for assessing preschool children's motor health.
Introduction:
Motor health and long-term development of pre-school children is a pressing issue that requires urgent attention. While motor health is critically important for the early growth stage of pre-school children, establishing a multi-dimensional health evaluation indicator weighting system using an integrated subjective-objective weighting method remains a cutting-edge challenge in current research.
Methods:
WPS Office 6.4 and IBM® SPSS® Statistics 26.0 were used to analyze the data, with the significance threshold set at P-value < 0.05. The integrated subjective-objective weighting method mainly consists of four steps: (i) the Delphi subjective weighting method, including A i , A s , A a , W i , ω; (ii) the entropy objective weighting method, including X ij , P ij , E j , d j , and W j ; (iii) the comprehensive weighting method, including relevant parameters , among others; (iv) IBM® SPSS® Amos (TM) 24.0 was used to conduct further data analysis.
Results:
The total combined weight of the six primary indicators is 1.0, with individual weights ranging from 0.109 to 0.213. The corresponding weights of the 26 secondary indicators range from 0.014 to 0.215. Regarding the weighting of first-level indicators, no significant correlation was found between the comprehensive weighting method and the Delphi method (r = 0.771, P = 0.072), nor between the comprehensive weighting method and the entropy weight method (r = 0.600, P = 0.208). Similarly, no significant correlation was observed between the Delphi method and the entropy weight method (r = 0.143, P = 0.787). In contrast, for second-level indicators, the comprehensive weighting method demonstrated a strong correlation with both the Delphi method (r = 0.917, P < 0.001) and the entropy weight method (r = 0.558, P = 0.003). However, no significant correlation was detected between the Delphi method and the entropy weight method (r = 0.268, P = 0.185).
Conclusion:
By adopting an integrated subjective-objective weighting method, this study establishes evaluation indicator weights based on two foundations: the intrinsic patterns within the data and expert experience. The weights derived through this dual-foundation approach therefore exhibit improved rationality and credibility, providing important reference value for the comprehensive assessment of pre-school children's motor health.
