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本文以分析统计数据质量的定义和表现形式为基础,深入探讨导致出现虚假数据、失实数据的各种因素,认为调查对象配合程度日益弱化和政绩考核日益增多是造成虚假的数据的主要原因,而统计制度方法不完善和数据处理评估手段落后是造成失实的数据的主要原因,因此,要提高统计数据质量,必须优化调查手段,建立健全统一规范的统计调查方法制度,建立统一数据处理平台;必须完善约束机制,建立健全“凡进必审”制度,建立进度基层报表抽查制度,争取组织机构代码管理职能。
Based on the analysis of the definitions and forms of statistical data quality, this paper explores in depth the various factors that lead to false data and false data. It is considered that the diminishing degree of cooperation among the respondents and the increasing performance appraisal are the main causes of false data. Therefore, in order to improve the quality of statistical data, we must optimize the means of investigation, establish and improve a unified and standardized statistical survey methodology and establish a unified data processing platform; we must We will improve the system of restraint, establish and perfect the system of “all trials and tribunals”, establish a system of spot checking of progress reports at the grass-roots level, and strive for the organization code management functions.