Qualitative and Quantitative Research Design: Study Guide

Summary

Qualitative and quantitative research design are two methods of collecting and analyzing data. Students learn about each method's strengths, weaknesses, and when to use them.

Qualitative research design

This method collects non-numerical data to understand human behavior, emotions, and characteristics. It includes naturalistic observation and structured interviews.

Strengths and weaknesses

Qualitative research is good for in-depth analysis but can be time-consuming and has issues with anonymity. It depends on the researcher's skills and can be difficult to maintain rigor.

Quantitative research design

This method collects numerical data for statistical analysis. It is objective and reliable but requires good statistical knowledge and a meaningful sample size.

Combined approach

Sometimes, a mix of both methods is used to benefit from each and minimize weaknesses. This can be useful in situations like studying a rural population.

Key terms

Ethnography

A type of naturalistic observation in qualitative research.

Statistical tests

Methods used in quantitative research to analyze numerical data.

Meaningful sample

A sample size that is appropriate and representative for quantitative research.

Combined approach

Using both qualitative and quantitative methods in a research project.

Consumer behavior

The actions and decisions made by consumers regarding the purchase and use of products.

Future expectations

What customers anticipate from an organization in the future.

Questions this document helps with

• When should qualitative research be used?
• What are the strengths of quantitative research?
• How can a combined approach benefit a research project?

Summary written with AI from the document's text.