Synthesising Scientific Method

Most people find it easier to visualize the data by charting or graphing the information.​ The final step of the scientific method is developing a conclusion.This is where all of the results from the experiment are analyzed and a determination is reached about the hypothesis.

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There are few published examples of realist synthesis.

This paper therefore fills a gap by describing, in detail, the process used for a realist review and synthesis to answer the question ‘what interventions and strategies are effective in enabling evidence-informed healthcare?

Questions were tailored for each of four theory/intervention areas within the theoretical framework and were used to guide development of a review and data extraction process.

The search for literature within our first theory area, change agency, was executed and the screening procedure resulted in inclusion of 52 papers.

While realist synthesis demands flexible thinking and the ability to deal with complexity, the rewards include the potential for more pragmatic conclusions than alternative approaches to systematic reviewing.

A separate publication will report the findings of the review.

Once you've made your observation, you must formulate a question about what you have observed.

Your question should tell what it is that you are trying to discover or accomplish in your experiment.

Using the questions relevant to this theory area, data were extracted by one reviewer and validated by a second reviewer.

Synthesis involved organisation of extracted data into evidence tables, theming and formulation of chains of inference, linking between the chains of inference, and hypothesis formulation.

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    Realist synthesis is an increasingly popular approach to the review and synthesis of evidence, which focuses on understanding the mechanisms by which an intervention works or not. There are few published examples of realist synthesis. This paper therefore fills a gap by describing, in detail, the process used for a realist review and.…

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