摘要
实证研究数据的核心内涵在于研究者基于自身经验的直接发现,其外延应基于这一核心内涵延展,而不受形式、载体等外在表现的过多限制。用数据进行测量是实证研究的基本观念,测量的实施需要经由概念化、操作化。刑事司法领域的测量具有自身的特点,如何在纷繁复杂的刑事司法实践中开展科学有效地直接测量,是实证研究的核心环节和难点。依据不同的标准将刑事司法实证研究涉及的数据划分为不同的类别,能够提供很多观察不同种类数据特征、优劣与运用规则的视角。刑事司法实证研究中数据的运用应当遵循寻求较佳数据、量力而行、组合运用以及不迷信数据的原则。我国刑事司法实证研究的数据运用亦存在多方面的问题值得反思。现阶段大数据尚未对刑事司法实证研究产生质的影响,但却能提供多方面的有益启示与思考。
The core intension of empirical research data lies in researchers＇ direct findings on the foundation of their own experience, while its extension should be unfolded based on this kernel rather than excessively restricted by outward expressions like form, carrier, etc. The basic conception of empirical research is data measurement, whose implementation should be conceptualized and operationalized. Measurement in the criminal justice field has its own characteristics. How to scientifically and effectively conduct direct measurement in complex criminal justice practice is the core and difficult part of empirical research. Data classification based on different standards in empirical research could provide diverse perspectives to rule application as well as characters observation and quality assessment of various kinds of data. Data utilization in empirical research of criminal justice shall follow the principles of ＂ preferable data selection ＂, ＂ to act within capability ＂, ＂combined application＂ and ＂ reasonable dependency on data＂ There are still many problems of data application in China＇s criminal justice empirical research need to be reflected. Despite the fact that Big Data analysis has not posed qualitative effect on empirical research of criminal justice till now, it can provide various helpful enlightenments and reflections.
出处
《中国法学》
CSSCI
北大核心
2016年第4期198-217,共20页
China Legal Science
基金
国家社会科学基金青年项目"刑事司法改革中的实验研究"(项目批准号:12CFX036)
北京高等学校青年英才计划"刑事司法实证研究方法"(项目批准号:YETP0239)的阶段性成果
