%0 Journal Article
%T 网络大数据分析技术的心理学方法论思考<br>Reflections on the Psychological Methodology in the Techniques of Web Big Data Analysis
%A 赖凯声
%A 马华维
%A 乐国安&lt
%A br&gt
%A LAI Kaisheng
%A MA Huawei
%A YUE Guo-an
%J 西南大学学报(社会科学版)
%D 2017
%R 10.13718/j.cnki.xdsk.2017.03.011
%X 网络大数据已被成功应用于探索情绪心理学、人格心理学等诸多心理学研究议题。与以认知神经科学技术为例的现代研究方法，和以问卷法、行为实验法为例的传统研究方法相比，网络大数据分析在样本规模、数据客观性、时效性、生态学效度等方面均具有显著优势。具有浓厚学科交叉性质的认知神经科学技术和网络大数据分析技术，前者擅长于微观分析层面，后者擅长于分析宏观层面，且都是心理学适应现代化技术变迁、把握时代机遇的两大重要突破口。未来研究者可采取方法互补，数据驱动和理论驱动相结合等策略，从而更好地把握时代发展机遇。<br>Web big data has been successfully applied to explore various psychological issues, such as problems in emotion psychology, personality psychology. Compared with modern research methods, such as cognitive neuroscience technology, and traditional research methods, such as questionnaire and behavioral experiment, Network big data analysis has significant advantages in terms of sample size, data objectivity, timeliness, and ecological validity. Both cognitive neuroscience technology and Network big data analysis boast strong interdisciplinary nature, with the former specializing in micro-level analysis and the latter in macro-level analysis. Both of them are important breakthroughs of psychology adapting the change of modern technology, and seizing opportunities in the current era. Future study may consider the strategy of using complementary methods and combining both data-driven and theory-driven approaches in research design to make better use of the great opportunities in the information age
%K 网络大数据
%K 心理学方法论
%K 认知神经科学
%K 因果性
%K 社交媒体&lt
%K br&gt
%U http://xbgjxt.swu.edu.cn/jsusse/html/2017/3/201703011.htm