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Factor Analysis
DESCRIPTION
Discover underlying factors from observed variables using Principal Components and Rotation techniques. Learn about Exploratory and Confirmatory Factor Analysis for in-depth insights into your data structure. Dive into examples, estimations, and factor score estimation methods.
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Factor Analysis
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Presentation Transcript
Description • Goal: Discover m < p underlying Factors (aka latent variables) from Covariances or Correlations among p observed variables • Makes use of Principal Components and Rotation to obtain the Factors • Exploratory Factor Analysis: Using observed responses to obtain factor structure. • Confirmatory Factor Analysis: Uses new data to determine whether hypothesized Factor structure is appropriate.
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