多水平模型在调查员变异评价中的应用
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摘要
[目的]结合实例探索评价调查员变异的方法,并探讨当存在调查员变异时,如何分析产生调查员变异的原因以及进一步的数据分析。[方法]以2008年四川地震灾区居民的生命质量及其影响因素相关研究为例,采用多水平模型评价灾区居民SF-12量表的MCS和PCS得分测量中是否存在调查员变异,并比较存在调查员变异时,考虑和不考虑调查员变异对结果的影响。[结果]SF-12量表心理方面的测量存在调查员变异,但SF-12量表生理方面的测量不存在调查员变异;将调查员变异在MCS得分中分离后,模型3中汶川与北川居民MCS得分差异无统计学意义,模型3中房屋垮塌的居民MCS得分比没有房屋垮塌的居民低,均比模型4的结果解释合理,且模型3拟合效果更好。[结论]多水平模型适用于评价调查员变异和探索产生调查员变异的原因,为今后改进调查员培训,提高调查质量提供参考。
[Objective]To explore the way to assessing the variation of the interviewers based on the data of a survey,analyze the reasons which result in the variation of the interviewers when there is a variation of the interviewers,and to discuss the potential impact on the results of the modeling fit when the variation of the interviewers is ignored.[Methods]Based on the data from the survey on the quality of life of people in Sichuan quake hit area in 2008,we assessed if there was a variation of the interviewers for the MCS(Mental component summary)and PCS(Physical component summary)of SF-12 by multilevel model,and compared the influence of the outcome considering the variation of the interviewers or not when there was the variation of the interviewers.[Results]For the MCS,there was variation between the interviewers.For the PCS,there was no variation between the interviewers.When the variation of the interviewers was distinguished from the whole variation,the difference of MCS of people in Wenchuan and Beichuan was non-significant in model 3,and the MCS of people whose house were damaged was lower than those whose house were not damaged in model 3,and the results in model 3 were more?reasonable than in model 4.And model 3 had a better modeling fit than model 4.[Conclusion]Multilevel model was alternative method to assess the variation of the interviewers.It was useful to improve the quality of the further interviewer training by exploring the reasons which produce the variation of the interviewers.
[Objective]To explore the way to assessing the variation of the interviewers based on the data of a survey,analyze the reasons which result in the variation of the interviewers when there is a variation of the interviewers,and to discuss the potential impact on the results of the modeling fit when the variation of the interviewers is ignored.[Methods]Based on the data from the survey on the quality of life of people in Sichuan quake hit area in 2008,we assessed if there was a variation of the interviewers for the MCS(Mental component summary)and PCS(Physical component summary)of SF-12 by multilevel model,and compared the influence of the outcome considering the variation of the interviewers or not when there was the variation of the interviewers.[Results]For the MCS,there was variation between the interviewers.For the PCS,there was no variation between the interviewers.When the variation of the interviewers was distinguished from the whole variation,the difference of MCS of people in Wenchuan and Beichuan was non-significant in model 3,and the MCS of people whose house were damaged was lower than those whose house were not damaged in model 3,and the results in model 3 were more?reasonable than in model 4.And model 3 had a better modeling fit than model 4.[Conclusion]Multilevel model was alternative method to assess the variation of the interviewers.It was useful to improve the quality of the further interviewer training by exploring the reasons which produce the variation of the interviewers.
引文
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李晓松,倪宗瓒.多水平logistic模型在问卷信度研究中的应用[J].中国卫生统计,1998,15(6):1-3.
郝元涛,方积乾.世界卫生组织生存质量测定量表中文版介绍及其使用说明[J].现代康复,2000,4(8):1127-1129.
李鲁.社会医学[M].北京:人民卫生出版社,2003.101.
陈英,王声涌,喻侠华,等.WHOQOL-100中文版量表评定急性脑卒中患者生活质量分析[J].中华物理医学与康复杂志,2007,29(8):546-548.
巫秀美,倪宗瓒.应用多水平统计模型评价职业性暴露的测量信度[J].中国卫生质量管理,1999,30(5):50-51.
杨珉,李晓松.医学和公共卫生研究常用多水平统计模型[M].北京:北京大学医学出版社,2007.
Harvey Goldstein.Multilevel statistical model[M].3rd ed OxfordUniversity Press Inc,2003.
Atkins DC.Using multilevel models to analyze couple and familytreatment data:basic and advanced issues[J].Journal of FamilyPsychology,2005,19(1):98-110.
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