원문정보
초록
영어
In numerous epidemiological data, complex sample survey including stratification variables and cluster variables is used as a sampling method. This study compared the differences in mean and significant probability depending on the application method of weights when a chi-square test is performed using Complex Sample Survey Data. Multiple regression and complex sample regression analysis were used as analyzing methods. Youth Risk Behavior Web-based Survey (KYRBS) 2012 was used as data source. As a result of multiple regression and complex sample regression analysis, there were differences in mean and significant probability. The result of this study confirmed that in the analysis of data from complex sample surveys, biased variance (standard error) may be drawn out when using Simple Random Sampling Design. When using complex sampling survey data, in order to minimize the error for samples and to have study results that represent overall population, Complex Sampling Design is required.
목차
1. Introduction
2. Methods
2.1 Data and Participants
2.2 Measures
2.3 Sampling Weight
2.4 Statistical Analysis
3. Results
3.1 Characteristics of Population based on Weights
3.2 Prevalence Rate of Obesity
3.3 Comparison of Significant Probability between Single Sample Analysis and Complex Sample Analysis
4. Discussion
5. Conclusion
References