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Factor Analysis

Factor Analysis

One of the oldest multivariate techniques, factor analysis is closely related to PCA and even confused by many for PCA. However, it serves a totally different purpose. Uncover hidden dimensions in your data.

Course Details

Learning Objectives

Learning Objectives:

Upon completion of this module, participants will know:

  • The difference between Factor Analysis & Principal Component Analysis
  • Why and when to use Factor Analysis
  • The required data layout to run the analysis in software packages
  • How to choose the options based on the data specifics
  • How to interpret the software output
  • How to report the results of the analysis

 

    Target Audience

    Target Audience:

    This module is aimed at people information on several variables and who wish understand the underlying their dimensions.

    Prerequisite

    Prerequisite:

    This course introduces the important ideas in statistics and data analysis. It assumes that participants either have no previous knowledge of statistics or that they have not used statistics for a long time.

    Course Outline

    Course Outline:
    • Introduction to Factor Analysis & Historical Note
    • The Principle of Latent Variables
    • The Extraction of Latent Variables (Factors)
    • Statistical Methods for Factor Extraction
    • Enhancing Factor Interpretability with Rotations
    • Software Packages
    • Typical Software Outputs
    • Interpretation
    • Technical Issues
    • Summary

    Practical Info

    Practical Info:

    Recommended Duration: 1 day

    Course materials :

  • Course notes on statistical techniques
  • Sample datasets
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