As two of our three readings explain, there may not be a specific methodology that is feminist. What does color feminist research is an attempt to take intersectionality and depth of personal experience seriously. Page 200 of the article lists 5 tools researchers can use to create more gender-aware work.
Those listed are:
- Awareness of hierarchical power relations
- Integration of diversity
- Analysis of the relationships between research parties
- Use of qualitative methods
- Adapting of hard-to-measure data into quantitative measurments
Beetham and Demetriades explain the Women in Development and Gender and Development paradigms for understanding womens' relationship to development (pg 200). As explained by the authors, the earlier 1970s produced a Women in Development theory that assumed women were in a compromising position in society primarily because they were kept from a professional marketplace. The later 70's gave rise to the Gender and Development theory, stemming from the critiques of (globally) southern women.
Until now in this post I have summarized some points in the article that are either new information for me or that I find to be interesting/important. From here on out I would like to think about the "Quantity versus quality" debate posed on page 205.
I already agree that gender and intersectionality should be seriously considered when conducting research, but this gives rise to the issue of what is the most efficient way to gather data about women. Quantitative research can produce hard-hitting statistics which can then be used as springboards for discussion. National surveys are used by researchers in Sociology, Anthropology and Family studies researchers. Would it not be invaluable to have a census for women concerning family dynamics and instances of violence in their lives? Also, gathering of quantitative data seems so much less laborious and tedious than qualitative. If we are to sit down with each individual we are studying to get lengthy interviews, then how long must we wait before publishing findings?
On the other hand, qualitative data can be so rich and informative, and it is much easier to think about relationship between researcher and subject when the they are spending a greater deal of time together.
It is nothing short of overwhelming to think about the implications of using one type or a conglomerate of styles of research to study women. Though i'm sure this course as well as the other articles due this week will clarify these questions for me, I find that these are the questions at the basis of feminist methodological studies.I am not unaware that these questions have been pondered before, and that there is (extensive?) writing about them, but I also feel that one must be troubled by these issues individually if they are attempting to do research through some sort of feminist methodology.
The qualitative versus quantitative wars are not the embittered camps they once were. It is interesting, though, how we still struggle to achieve a balance that tells us something useful about the world in a way that is inclusive and holistic. It amazes me how many presentations I see even today on research that maps out sweeping generalizations about people's lives without having actually talked to a single person.
ReplyDeleteI think what is even worse is when studies make wide generalizations after only examining a small sample size. While I understand that one cannot interview everyone one cannot and should not determine that the word "fag" is an attack on one's masculinity after one has only spoken to the English speaking population of one high school (Dude you're a fag-Pascoe). While I agree with her conclusions, I have always been troubled by sociological research that generalizes with a small sample size.
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