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Meta-Ethnography
Meta-ethnography is an approach to synthesizing qualitative studies, allowing interpretations to be made across a set of studies (Noblit & Hare, 1988). In contrast to quantitative META-ANALYSIS (Glass, 1977), meta-ethnography does not aggregate data across studies as this ignores the context-specificnature of qualitative research. Instead, meta-ethnography involves synthesizing the interpretations across qualitative studies in which context itself is also synthesized. The approach allows for the development of more interpretive literature reviews, critical examinations of multiple accounts of similar phenomena, systematic comparisons of case studies to allow interpretive cross-case conclusions, and more formal syntheses of ethnographic studies. In all these uses, meta-ethnography is both inductive and interpretive. It begins with the studies and inductively derives a synthesis by translating ethnographic and/or qualitative accounts into the terms of each other to inductively derive a new interpretation of the studies taken collectively.
A meta-ethnography is accomplished through seven phases. First, one starts by identifying an intellectual interest that can be addressed by synthesizing qualitative studies. Second, it is necessary to decide what is relevant to the intellectual interest by considering what might be learned and for which audiences. Third, after conducting an exhaustive search for relevant studies, one reads the studies in careful detail. Fourth, it is necessary to consider the relationships of the studies to one another by making lists of key metaphors, phrases, ideas, and concepts and their relations to one another. The relationships may be reciprocal (similarity between studies is evident), refutational (studies oppose each other), or line of argument (studies of parts infer a whole). Fifth, the studies are translated into one another in the form of an analogy that one account is like the other except in some ways. Sixth, the translations are synthesized into a new interpretation that accounts for the interpretations in the different studies. Seventh, the synthesis is expressed or represented in some form appropriate to the audience of the synthesis: text, play, video, art, and so on.
For example, Derek Freeman's refutation of Margaret Mead's ethnography of Samoa was covered in the popular media in the 1980s. Freeman's (1983) account was an attempt to discredit the work of Mead (1928), but the refutational synthesis in Noblit and Hare (1988) reveals that the studies come from different time periods, different paradigms of anthropology, different genders, and even different Samoas (American vs. Western). In short, the studies do not refute each other. They teach about different aspects of Samoan culture. Freeman's claim that he refutes Mead and Mead's claim to refute biological determinism both fail. Meta-ethnography, then, is a powerful tool used to reconsider what ethnographies are to mean to us taken together.
References
- 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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