An attempt to identify the basic underlying variables which account for the correlations between actual test scores is done statistically through
A) multiple regression
B) linear modeling
C) factor analysis
D) the correlation coefficient

Question

Quizplus · Accepted Answer

Factor analysis is a statistical technique used to identify underlying factors or latent variables that may explain the correlations between multiple observed variables. This technique helps to reduce the complexity of data by identifying underlying factors that account for the correlations between observed variables. Multiple regression and linear modeling are used to examine the relationship between a dependent variable and one or more independent variables. The correlation coefficient only measures the strength and direction of a linear relationship between two variables. Therefore, factor analysis is the best choice to identify the basic underlying variables that account for the correlations between actual test scores.

An Attempt to Identify the Basic Underlying Variables Which Account