软科学研究中的数据选型问题研究

Data selection research in soft science domain

数据在科学研究中不可或缺,软科学研究也历来重视对数据的选取、采集和处理分析。由于软科学研究主要面向政策、行政管理等,范围广、影响力强,需要特别重视数据方面的考察,以免被数据误导,从而决策失误。本文从数据选取、数据组合、数据验证等多方面对软科学研究中的数据选型问题做了探讨,对各个环节提出了一些建议。

In the process of soft science research, data becomes more important and indispensable. Soft science＇s conclusions have great influence on policymakers and people＇s daily life. In order to take precautions against misguide by data, this paper discusses some issues from data selection standard and principle to conclusion verification, and comes up with some proposals which may be helpful to improve research quality.