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在第七讲中,我们讨论了现场调查质量控制。采取质量控制措施以后,效果如何,需要进行评价。评价数据质量的指标一般有3种:“准确度”(Accuracy)、“精密度”(Precision)和“可靠性”(Reliability)。准确度衡量测量值与“真值”(True value)的接近程度。精密度表示测量的精确程度。例如,用一种仪器测得温度为98.6℃,另一种更精密的仪器测得温度为98.63℃,则后者比前者精密度要高;但如果“真实温度”是100.00℃,则上述两个数值的“准确度”都不高。数据质量的第3种评价指标是“可靠性”。一般认为,数据的可靠性与它的“可重复性”
In the seventh lecture, we discussed on-site survey quality control. After the quality control measures are taken, the effect will need to be evaluated. There are three general indicators for evaluating data quality: Accuracy, Precision, and Reliability. Accuracy measures the closeness of the measured value to the “True value”. Precision indicates the accuracy of the measurement. For example, if the temperature measured by one instrument is 98.6°C and the temperature measured by another more sophisticated instrument is 98.63°C, the latter is higher than the former; however, if the “true temperature” is 100.00°C, the above two The numerical ”accuracy“ is not high. The third evaluation indicator of data quality is ”reliability.“ Generally believed that the reliability of data and its ”reproducibility"