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Implementation research is the systematic study of methods that support the application of research findings and other evidence-based knowledge into policy and practice. [1] It aims to understand the most effective pathways from research to practical application, particularly in areas such as health, education, psychology and management. [ 2 ]
In his 1946 paper "Action Research and Minority Problems" he described action research as "a comparative research on the conditions and effects of various forms of social action and research leading to social action" that uses "a spiral of steps, each of which is composed of a circle of planning, action and fact-finding about the result of the ...
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the anticipation of process and effect evaluation. Intervention mapping is characterized by three perspectives: an ecological approach, participation of all stakeholders, and the use of theories and evidence. Although intervention mapping is presented as a series of steps, the authors see the planning process as iterative rather than linear. [1]
In natural and social science research, a protocol is most commonly a predefined procedural method in the design and implementation of an experiment.Protocols are written whenever it is desirable to standardize a laboratory method to ensure successful replication of results by others in the same laboratory or by other laboratories.
For example, researchers may exaggerate the effect of one variable, or downplay the effect of another: researchers may even select in subjects that fit their conclusions. This selection bias can happen at any stage of the research process. This introduces bias into the data where certain variables are systematically incorrectly measured. [9]
Research design refers to the overall strategy utilized to answer research questions. 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]
The stepped-wedge design involves the collection of observations during a baseline period in which no clusters are exposed to the intervention. Following this, at regular intervals, or steps, a cluster (or group of clusters) is randomized to receive the intervention [5] [6] and all participants are once again measured. [7]