An example: a qualitative study will use what is called "purposeful sampling," while a quantitative study (specifically an experimental study) uses random sampling. The task would be to define and compare these different sampling methods and explain why each is important regarding the kind of design.© BrainMass Inc. brainmass.com May 20, 2020, 8:00 pm ad1c9bdddf
Qualitative puts subject at the centre of investigation and often relies on the participant's narrative or observed behavior to inform the study.
Method of data collection includes interviews, focus groups, observation.
Qualitative analyzes the data using themes and tries to uncover the participant's complete story.
Qualitative is often used for critical sociology focusing on social change.
Quantitative relies on demographic information, census data, or survey data. Participant's words or data are interpreted as a number or scale.
Quantitative relies upon computers to analyze data.
Quantitative often adheres to a positivist perspective.
Both methods have strengths and weaknesses. Qualitative is better suited to small studies because data collection and analysis is very time consuming. Interviews, focus groups, and observation take more time, money and skill to complete properly. However, qualitative is able to uncover a rich detailed picture of the daily lived reality of participants. Quantitative studies are more feasible for larger samples and allow for larger studies. Nevertheless, it is restricted to explaining the world statistically.
The intent behind qualitative studies is to first allow participant's voices to remain central to the study, however it is mindful of the obstacles the researcher faces while trying to represent reality ...
This solution examines the unique differences between quantitative and qualitative research. It outlines some of the unique characteristics of each approach. The advantages and disadvantages of these characteristics are compared and discussed. This focuses on data collection, analysis, at risk populations and the researcher's bias. 817 words.