Course

Course Summary
Credit Type:
Course
ACE ID:
STAT-0061
Organization:
Statistics.com
Location:
Online
Length:
4 weeks
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Lower-Division Baccalaureate 3 Data Analysis
Description

Objective:

The course objective is to cover the methods, selection criteria, and application of Principal Component Analysis (PCA) and Factor Analysis. Students learn how to perform PCA, determine the correct number of factors, apply rotation techniques, and use factor scores. Each week includes practical assignments to reinforce the concepts taught.

Learning Outcomes:

  • Understand and apply the methods of Principal Component Analysis and Factor Analysis.
  • Determine the appropriate number of factors to retain in analysis.
  • Apply various rotation techniques to simplify factor structure.
  • Apply EFA and PCA using software
  • Use factor scores in practical applications.

General Topics:

  • Principal Components, Principal Axes Factor, and Maximum Likelihood Factor Analysis
  • Choosing the Correct Number of Factors
  • Rotation
  • Use of Factor Scores
Instruction & Assessment

Instructional Strategies:

  • Discussion
  • Practical Exercises
  • Textbook readings

Methods of Assessment:

  • Other
  • Graded practical exercises and discussion forums

Minimum Passing Score:

73%
Supplemental Materials