Barbara collected data from school leaders from all 300 schools in a large city. She collected data on 50 different average test scores and wanted to reduce the number of dimensions. What analysis method should she use?
A) Principal Principal Components Analysis
B) Item Response Theory
C) Correlation matrix
D) Fisher's transformation Analysis.

Question

Quizplus · Accepted Answer

Principal Components Analysis (PCA) is a statistical method used to reduce the dimensionality of a dataset. In this case, Barbara has collected data on 50 different average test scores, which means she has 50 variables or dimensions. PCA can be used to identify the underlying factors that explain the most variance in the data and then create new variables or components that represent these factors. By doing so, Barbara can reduce the number of dimensions in her dataset while retaining most of the information.

Barbara Collected Data from School Leaders from All 300 Schools