Which of the following techniques of analyzing research data groups variables into collections that maximize within-group similarities and between-group differences?
A) demand pattern analysis
B) income elasticity analysis
C) cluster analysis
D) comparative analysis

Question

Quizplus · Accepted Answer

Cluster analysis groups variables into collections (or clusters) based on their similarities and differences, with the goal of maximizing within-group similarities and between-group differences. This technique is often used in market research, social sciences, and data mining to explore patterns and relationships in large datasets. Demand pattern analysis and income elasticity analysis are not clustering techniques, while comparative analysis involves comparing two or more things to highlight similarities and differences, rather than grouping variables together based on similarities and differences.

Which of the Following Techniques of Analyzing Research Data Groups