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Action research is a philosophy and methodology of research generally applied in the social sciences. It seeks transformative change through the simultaneous process of taking action and doing research, which are linked together by critical reflection.
Action research in the workplace took its initial inspiration from Lewin's work on organizational development (and Dewey's emphasis on learning from experience). Lewin's seminal contribution involves a flexible, scientific approach to planned change that proceeds through a spiral of steps, each of which is composed of 'a circle of planning, action, and fact-finding about the result of the ...
A research design typically outlines the theories and models underlying a project; the research question(s) of a project; a strategy for gathering data and information; and a strategy for producing answers from the data. [1] A strong research design yields valid answers to research questions while weak designs yield unreliable, imprecise or ...
Community-based research is more likely to trigger public action and engagement with environmental issues than traditional research. [7] Bottom up community-based research in which community members oversee each phase of the research project is more likely to inspire structural reforms that are responsive to the needs of EJ communities. [6]
Participatory Action Research (PAR) is a subset of Community-Based Research aimed explicitly at including participants and empowering people to create measurable action. [43] PAR practices across various disciplines, with research in Participatory Design being an application of its different qualitative methodologies.
The research-based design process is a research process proposed by Teemu Leinonen, [1] [2] inspired by several design theories. [ 3 ] [ 4 ] [ 5 ] It is strongly oriented towards the building of prototypes and it emphasizes creative solutions, exploration of various ideas and design concepts, continuous testing and redesign of the design solutions.
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The reversal design is the most powerful of the single-subject research designs showing a strong reversal from baseline ("A") to treatment ("B") and back again. If the variable returns to baseline measure without a treatment then resumes its effects when reapplied, the researcher can have greater confidence in the efficacy of that treatment.