Framework and Applications of Sports Science Research Methods Based on Causal Inference
The causal inference logical analysis methods have high application value and neces-sity in sports science research.The need for an in-depth understanding of the causal relationships behind athletes'performance in sports science research is acknowledged,and causal inference methods provid the corresponding mathematical quantification tools.The advantages of causal inference over correlational research methods can be highlighted through the analysis of specific cases involving risk and benefit calculations of adopting new technologies in competitive sports practices.The steps of causal inference methods,including the intervention or observation of re-search subjects,the establishment of appropriate models,and the handling of confounding factors.The commonly used causal inference methods,such as propensity score matching and instru-mental variable method,are identified as having strong applicability and advantages in sports science research.Data quality control is recognized as an indispensable factor to improve the re-liability of causal inference conclusions,with optimal solutions for specific methods and measures according to application scenarios.Multiple factors,such as research design,data collection,model construction,and result interpretation,need to be comprehensively considered in sports science re-search methods based on causal inference.Combining the causal inference methods with other re-search methods can reveal the causal relationship in sports science more comprehensively.Future re-search should explore in depth explore the application of causal inference methods in different fields of sports science and its ethical and social impacts in sports science research.The importance of causal inference methods can be more clearly recognized by researchers in the field of sports sci-ence to improve the credibility of research conclusions,provide more reliable and feasible anal-ysis methods for related research,and promote the development of sports science research.
万方数据
维普
