统计研究 ›› 2011, Vol. 28 ›› Issue (6): 73-79.

• 论文 • 上一篇    下一篇

宏观统计数据质量评估的研究范畴与基本范式

郭红丽 王华   

  • 出版日期:2011-06-15 发布日期:2011-06-09

Research Category and Primary Paradigm of Macro-level Statistical Data Quality Assessment

Guo Hongli & Wang Hua   

  • Online:2011-06-15 Published:2011-06-09

摘要: 内容提要:不断推进宏观统计数据质量评估研究的体系化和规范化,是该领域学术价值存续和有效信息揭示的必由出路。本文旨在解决其中的两方面关键问题:一是界定宏观统计数据质量评估的研究范畴,藉此明晰数据质量评估研究的概念结构、方法原理、理论基础和功能边界;二是探讨对各种宏观统计数据质量评估方法的适用性进行检验的可行方法,以确保评估研究可以给出较为可靠的结论。进而明确宏观统计数据质量评估研究的基本范式,探讨研究中应遵循的一系列操作规则。

关键词: 关键词:统计数据质量, 研究范畴, 评估方法, 研究范式

Abstract: Abstract: It is the systematism and normalization of macro-level statistical data quality assessment research that ensure science value and information impression in the research realm. The paper aims at solving two problems: one is ascertaining the research category of macro-level statistical data quality assessment, depending on which the concept structure, method principle, theory basis and function limit of existing researches can be revealed, and the other is probing into feasible test methods for applicability of the data quality assessment methods, in order to ensure credibility of conclusion of the assessment researches. Furthermore, a primary research paradigm of data quality assessment has been declared, and a series of operation rules discussed.

Key words: Key words: Statistical Data Quality, Research Category, Assessment Methods, Research Paradigm