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This study investigates gender differences in research method selection within Library and Information Science, revealing that women predominantly favor qualitative methods like interviews, while men lean towards theoretical approaches. Utilizing an advanced automatic classification model, CogFT, the research classifies methods with greater precision, highlighting the influence of research topics on these gendered preferences. The findings underscore the need for gender inclusivity in academic research design, suggesting actionable strategies to address disparities in method selection.
Women in Library and Information Science are significantly more likely to choose qualitative methods, while men gravitate towards theoretical approaches, revealing a stark gender divide in research practices.
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 Interview while men prefer Theoretical approach, across a range of topics. The study offers insights into the specific research design processes that contribute to gender differences in method selection and suggests ways to promoting gender inclusivity and equality in academia by considering research method use and guidance.
