Quantitative researchers establish credibility in data analysis by demonstrating that their results are reliable. (The measurement findings are stable, repeatable, and generalizable) and valid (the research measures what it was intended to measure).
In contrast, qualitative researchers explain the credibility of their data analysis is based on the rigor of “the actual strategies used in collecting, coding, analyzing, and presenting data when generating theory.” Thus, the question about credibility in qualitative research is “how can a researcher persuade an audience that the research findings of an inquiry are worth paying attention to?”
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Write My Essay For MeCan there really be a correct interpretation of qualitative data? Describe your thoughts.
SAMPLE SOLUTION
Credibility is an important aspect of any research process. It asks the researcher to link the findings of given research against a given standard or proven reality. Additionally, the research findings must have a given level of agreement between researchers in the same field, and the results must be free of bias and reproducible. Qualitative data can be hard to fully interpret and validate since it varies to a great extent. Qualitative research questions also tend to cover complex topics that may not have a common answer.
Additionally, there is no correct way to interpret and analyze the generated data more often than not. The researcher is biased in the themes or codes that form the basis for comprehensive research findings. Fully analyzing qualitative data often involves different reading and interpreting data to explore possible trends, interesting observations,…
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