USA: +1 (725) 712-1730 
Sign in
1. Describe the key differences between qualitative and quantitative research in terms of objectives, sampling, data collection and analysis, and outcomes.
2. Describe both online and traditional focus groups, explaining the advantages and disadvantages of each.
3. Explain the depth interview technique and describe its advantages and disadvantages.
4. Identify and describe at least two resources available online that are dedicated to supporting qualitative research.
5. Explain, with Scripture support, how a Christian worldview would impact focus on the welfare and comfort level of the respondent.
Expert Answer
1. Objectives: Qualitative research methods are used where objectives of the research can not be obtained using Quantiative research methods. Qualitative research methods help in understand insights to the underlying problems. Example: Why a customer is not shopping on a website? Quantitative research will throw options at the User but Qualitative research will help figure out exact reason.
Quantitative research helps in quatification of research. This helps in generalization of result that is expected from the entire population under consderation.
Sampling: Qualitative sample size is generally 10 or more users and non- users whereas Quantitave research sample size is more than 30 users and non users. Minimum 30 users help us assume data to be of uniform distribution.
Data collection: Qualitative data collection can be by noting down interview experts, user observation, voice or video recording etc. It is text based data collection.
Quantitative data collection is mostly through surveys in a form which can be measured as well as interviews where questions are focused on answers which can be measured. It is statistics based data collection.
Analysis: Qualitative data analysis is non-statistical in nature and often based on interpretation. It generally leads to hypothesis which are further verified in the quantitative research phase. Ex: Users don’t like our website because products are costly.
Quantitative data analysis is statistical in nature. An insight from the qualitative reaseach which can be further validated through statistical surveys. Ex: 40 out of 50 users don’t like our website because products are costly.
Outcomes: As stated earlier, Qualitative research helps us draw hypothesis which might or might not be true. But the outcomes of the reasearch help in understanding issues that can not be measured or understood through other methods. This also helps in quantitative reseach outline.
Quantitative research on the other hand help us develop more actionalable insights which are typically used to chart out a final course of action.
