A data reduction method used in personality test development is
A) regression analysis.
B) factor analysis.
C) final analysis.
D) shrink analysis.

Question

Quizplus · Accepted Answer

Factor analysis is a statistical technique commonly used in personality test development to identify the underlying dimensions or factors that contribute to individual differences in personality traits. It is a data reduction method that helps to reduce a large number of variables into a smaller number of underlying factors that can be used to describe an individual's personality profile. Other methods, such as regression analysis, may also be used in personality test development, but factor analysis is the most commonly used data reduction method. Final analysis and shrink analysis are not commonly used terms in personality test development.

A Data Reduction Method Used in Personality Test Development Is