选择(遗传算法)
领域(数学)
情报学
定性研究
心理学
社会学
计算机科学
社会科学
图书馆学
人工智能
数学
纯数学
作者
Chengzhi Zhang,Siqi Wei,Yi Zhao,Liang Tian
标识
DOI:10.1016/j.lisr.2023.101255
摘要
Research in the social sciences has shown that there are gender differences in the selection of research methods, with women often opting for qualitative methods while men prefer quantitative methods. However, it is important to consider that research methods are generally chosen based on the research topic. To figure out the influence of gender on research method selection, a study was conducted in the field of library and information science, using a more fine-grained method classification system and an automatic classification model called CogFT, which is based on full-text cognition. The findings showed that women tend to use interviews while men prefer theoretical approaches, across a range of topics. Insights into the specific research design processes that contribute to gender differences in method selection are offered and ways to promote gender inclusivity and equality in academia by considering research method use and guidance are suggested.
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