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Pubrica has extensive experience in conducting meta-analysis a quantitative, formal, epidemiological study design used to systematically assess the results of previous research to derive conclusions about that body of research.
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Experimental methodology An Academic presentation by Dr. Nancy Agnes, Head, Technical Operations, Pubrica Group: www.pubrica.com Email: sales@pubrica.com
TODAY DISCUSSION 01 Methodology in research 02 Types of Research Data 03 Why is a methods section important?
Methodology in research The processes or strategies used to find, select, process, and analyze information on a topic are referred to as research methodology. The methodology portion of a scientific research writing research paper helps the reader objectively examine the study's overall validity and reliability. The methods section provides solutions to two major questions: How was the information gathered or generated? How was it examined?
The data collection and analysis methods you utilized in your study are discussed and explained in your research methodology. The methodology chapter, an essential section of any thesis, dissertation, or medical research paper writing, discusses what you did and how you did it, allowing readers to judge the dependability and validity of your research and dissertation topic. It should include the following: 1. The type of study you performed 2. The techniques you used to gather and evaluate data 3. Any equipment or materials you utilized in the research 4. Why you chose these methods
Types of Research Data Based on the Medical Data collection method, data may be classified into four types: observational, experimental, simulation, and derived. The type of study data you collect may influence how you manage it. For example, data that is difficult or impossible to replace, for example, the recording of an event at a particular time and location, needs additional backup measures to limit the risk of data loss.
Alternatively, if you need to merge data points from many sources, you must adhere to best practices to avoid data corruption. 1. Observational Data Observational data is obtained through observing behaviour or action. 2. Experimental Data When a variable changes, the literature review writing researcher gathers experimental data by active intervention to cause and assess change or create a difference.
3. Simulation Data To generate simulation data, computer test models simulate the operation of a real-world process or system over time. 4. Derived / Compiled Data Derived data is formed by changing existing data elements, sometimes from several data sources, into new data via mathematical formulae or aggregation.
Why is a methods section important? Your methods section is your chance to explain how you carried out your study and why you have chosen the approaches you used. It is also where you can demonstrate that your study was thoroughly done and can be repeated. Finally, it provides your study authority and places it inside your subject, as well as providing your readers with somewhere to go if they have any concerns or comments about other sections.
Step 1: Explain your methodological approach Step 2: Describe your data collection methods Step 3: Describe your analysis method Step 4: Evaluate and justify the methodological choices you made
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