Data collection methods in the case study
Figure 3.3: Case study data collection methods
The case study design differs vastly from other research methodologies in that researcher
tries to examine a huge number of elements by constraining
the number of cases that
should be observed. Another distinctive element is that the case study researcher in
general tends to be an in-depth investigator of phenomena, as they exist in the character
setting (Yin 2009).
Two techniques that are often used to analyse case study data are pattern matching and
time-series analysis. Pattern matching is the process of taking several pieces of information
that seem logically related and connecting them to some idea or theoretical proposition.
The patterns should be compared to rival theories, looking for the best ‘fit’ of observed data
to theory. Time-series analysis involves comparing a trend
of data points to some
theoretically significant trend, or to some other alternative explanation.
Action research
Action research can be defined as a reflective process of
progressive problem solving
facilitated by individuals, or groups working with other teams trying to improve and address
an issue in a community. Action research is a strategy that has the dual aims of action and
research:
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• The action is to bring about change in for instance a community or department
• The research seeks to increase the researcher’s understanding and/or that of the
target group/community.
Action research is a cyclical process that consists of:
•
planning
• action
• review of the outcomes
of action
• reflection because of outcomes.
At each point in this cycle, the data available is used to determine the next stage. The
whole purpose of the research is to determine simultaneously
an understanding of the
social system and the best change opportunity available.
Researchers generally adopt an action research design to increase the reliability of their
findings by working with various data sources, ideally autonomous or partly independent
samples of witness/informants, diverse research settings, the same informant responding
to different questions which address the same topic from some different directions, data
gathered at various occasions by different researchers or diverse techniques.
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