前言：目的：探讨两水平方差成份模型在评价调查者间变异的应用价值。
Objectives: To explore the applicability of two level variance component model in research on variability between interviewers.
以柔性机构的变形边界与目标边界间的最小平方差(LSE)为优化目标。
The objective for the optimization is to minimize the least square error (LSE) between the deformed boundary and the target boundary.
对于气井，在双对数坐标纸上绘出流量对平均储层压力与井筒压力平方差的关系图。
For a gas well the flow versus the difference of the squares of the average reservoir and wellbore pressures are plotted on log-log paper.
方法采用软件MLWIN2．0，运用两水平方差成分模型评价满意度量表调查员间的信度；
Methods Two-level variance component model was used by MLWIN2.0 to evaluate the reliability of satisfaction scale within investigators.
结论：对于问卷项目的应答为连续性正态分布的数据，在拟合重复调查的情形下，可以采用两水平方差成份模型评价问卷项目应答的信度。
Conclusion:In the condition of unrepeated measurement, the variability between interviewers can be estimated by fitting two level variance component model for normally distributed data.
结论：对于问卷项目的应答为连续性正态分布的数据，在拟合重复调查的情形下，可以采用两水平方差成份模型评价问卷项目应答的信度。
Conclusion:In the condition of unrepeated measurement, the variability between interviewers can be estimated by fitting two level variance component model for normally distributed data.
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