透明度(行为)
数据科学
计算机科学
管理科学
实证研究
社会研究
再现性
航程(航空)
知识管理
开放科学
业务
工程伦理学
数据存取
风险分析(工程)
数据质量
政治学
数据收集
作者
Roxanne Connelly,Vernon Gayle,Sarah Stopforth
标识
DOI:10.31235/osf.io/974mr_v1
摘要
There is increasing concern across a wide range of academic disciplines that research results cannot be reproduced. This is a serious concern because research knowledge is cumulative, and it is built on incremental advances in empirical research. Improvement in computers, developments in data analytical software, and increased access to large-scale social science data resources (e.g. social surveys and administrative data) have greatly extended research capacity in the social sciences. In this chapter we discuss how the issues of transparency and reproducibility impinge on statistically orientated social science research. We outline approaches and techniques which will promote transparent and reproducible quantitative social science research.
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