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Feminist Research
Feminist research developed as a response to two perceived related failings in western social sciences. The first was the relative invisibility of women and a lack of concern with the gender-specific issues that influenced their lives. The second concerned the practices of social research and the processes through which knowledge was constructed. It was argued that the social world had been studied from the perspective of male interests and concerns, and in ignorance of the different picture that emerged when focusing on women’s lives and ways of seeing. Knowledge, which was presented as neutral, objective, and value-free, was, instead, partial and gendered. The purpose of feminist research was to bring women’s experiences more fully into view. This necessitated challenging conventional research practices, as well as radically reviewing many of the taken-for-granted assumptions about the nature of social science. The overall aim was to understand better the nature of gender inequalities.
It is not the focus on women, gender, or gendered lives per se, however, that makes a research project feminist. At first, feminist research was defined as such if it was seen to be about, by, and for women. More recently, however, it has been suggested that feminist approaches to research can be identified through their framing by theories of gender and power, their normative frameworks and notions of justice (however conceived), their focus on transformation and social change, and ideas about ethics and accountability (Ramazanoglu, 2002). Views about these issues are not held uniformly, and identification of when research might be feminist is never an open-and-shutcase. There is also overlap between the defining features of feminist work and other approaches to social investigation.
Early on in their discussions about doing social research, feminists distinguished between method, methodology, and EPISTEMOLOGY (Harding, 1987). Method was used to refer to the techniques and tools used in conducting research. Methodology was concerned with how those methods were actually operationalized and put into practice. Epistemology focused on the philosophical arguments for deciding what kinds of knowledge are possible and how to ensure that they are adequate and legitimate. Feminists have continually refined their ideas about these issues, and there has been extensive debate in relation to them.
Methods of Research
During the early 1980s, much of the debate about feminist research was concerned with what constituted the appropriate methods to be used. Concerns were expressed about the greater legitimacy that seemed to be afforded to SURVEY research and to approaches that emphasized the importance of scientific MEASUREMENT and OBJECTIVITY at that time. It was argued that such research fractured people’s lives, resulting in the production and measurement of atomistic facts, the significance of which had been decided in advance of the research itself. This was seen as problematic when focusing on women and, particularly, for research into those areas of their lives that had remained relatively hidden. With issues such as violence, sexuality, and motherhood, for instance, there was little existing knowledge from which survey questions might be written.
As a result, many feminists argued that qualitative methods, founded on an INTERPRETIVIST philosophical position and using sensitive, flexible, and open-ended approaches to data generation, were more appropriate than quantitative ones. Methods such as IN-DEPTH INTERVIEWS, LIFE HISTORY INTERVIEW, and ETHNOGRAPHY focused on the meanings and interpretations of those being researched, thereby enabling the researcher to see the social world through participants’ eyes. It was also felt that qualitative approaches were more in keeping with feminist principles, which promote equality and are against objectification and subordination. These arguments became something of an orthodoxy among feminist researchers, although even then, not everyone agreed with this position. For instance, awareness of the prevalence of sexual violence or the poverty of lone mothers is dependent, in part, on the availability of data that can indicate the extent of the problem.
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- Analysis of Variance
- Association and Correlation
- Association
- Association Model
- Asymmetric Measures
- Biserial Correlation
- Canonical Correlation Analysis
- Correlation
- Correspondence Analysis
- Intraclass Correlation
- Multiple Correlation
- Part Correlation
- Partial Correlation
- Pearson's Correlation Coefficient
- Semipartial Correlation
- Simple Correlation (Regression)
- Spearman Correlation Coefficient
- Strength of Association
- Symmetric Measures
- Basic Qualitative Research
- Basic Statistics
- F Ratio
- N(n)
- t-Test
- X¯
- Y Variable
- z-Test
- Alternative Hypothesis
- Average
- Bar Graph
- Bell-Shaped Curve
- Bimodal
- Case
- Causal Modeling
- Cell
- Covariance
- Cumulative Frequency Polygon
- Data
- Dependent Variable
- Dispersion
- Exploratory Data Analysis
- Frequency Distribution
- Histogram
- Hypothesis
- Independent Variable
- Measures of Central Tendency
- Median
- Null Hypothesis
- Pie Chart
- Regression
- Standard Deviation
- Statistic
- Causal Modeling
- Discourse/Conversation Analysis
- Econometrics
- Epistemology
- Ethnography
- Evaluation
- Event History Analysis
- Experimental Design
- Factor Analysis and Related Techniques
- Feminist Methodology
- Generalized Linear Models
- Historical/Comparative
- Interviewing in Qualitative Research
- Latent Variable Model
- Life History/Biography
- Log-Linear Models (Categorical Dependent Variables)
- Longitudinal Analysis
- Mathematics and Formal Models
- Measurement Level
- Measurement Testing and Classification
- Multilevel Analysis
- Multiple Regression
- Qualitative Data Analysis
- Sampling in Qualitative Research
- Sampling in Surveys
- Scaling
- Significance Testing
- Simple Regression
- Survey Design
- Time Series
- ARIMA
- Box-Jenkins Modeling
- Cointegration
- Detrending
- Durbin-Watson Statistic
- Error Correction Models
- Forecasting
- Granger Causality
- Interrupted Time-Series Design
- Intervention Analysis
- Lag Structure
- Moving Average
- Periodicity
- Serial Correlation
- Spectral Analysis
- Time-Series Cross-Section (TSCS) Models
- Time-Series Data (Analysis/Design)
- Trend Analysis
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