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Compare and contrast quantitative and qualitative research: Summarize the similarities and differences between the types. Discuss...

Compare and contrast quantitative and qualitative research: Summarize the similarities and differences between the types. Discuss which method you might prefer when conducting research

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Expert Solution

Qualitative Research

  • To describe a phenomena.
  • Hypothesis are developed during the research process.
  • Inductive theory
  • Variables are controlled.
  • Interaction between researchers and participants.
  • Research design is flexible and may evolve during the research process.
  • Data is represented or summarized in narrative or verbal forms.
  • Credibility,transferability,dependability and comfortability throughout the research process.
  • Samples are purposefully selected.
  • Environment undertaken in natural environment.
  • Use of logical analysis to control or account for alternative explanations.
  • Holistic approach to data collection.
  • Phenomena are studied holistically as part of a system.
  • Large volumes of data are used to synthesize and report findings.

Quantitative Research

  • To determine a cause and effect relationship.
  • Precise hypothesis is developed before the research process.
  • Deductive theory.
  • Variables are controlled.
  • Objective data collection.
  • Research design is flexible and may evolve during the research process.
  • Data is represented or summarized in narrative or verbal forms.
  • Rigorous process throughout the research process.
  • Samples are selected to represent the population in the research.
  • Natural or artificial and controlled environment.
  • Use statistical analysis to control for threats to study design.
  • Structured data collection process.
  • Phenomena are narrowed down for the research purposes.
  • Data reduced and condensed to make significant or non-significant findings.
  • Stated with a predetermined degree of certainty.

I would prefer Qualitative data as it is useful for studying limiting factors,helps when describing complex problems as well as generates in depth data. it is useful for investigating complex issues and has increased ecological validity because data is collected in real life setting.It is usually done in a natural environment making it easier to define certain variables.


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