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An Introduction to Factor Analysis
Rating: 4.4 out of 5(80 ratings)
980 students
Created byNajib Mozahem
Last updated 10/2019
English

What you'll learn

  • Extrating Factors
  • Determing Reliability
  • Rotating Factors
  • Understanding Scores

Course content

3 sections18 lectures1h 31m total length
  • Introduction3:31
  • Example: Masculinity2:10
  • Reliability3:59
  • Calculating the Value of the Construct3:34

    After establishing reliability and alpha above 0.7, calculate the construct's value from responses. Factor analysis weighs items by relevance rather than averaging, highlighting traits like assertiveness and dominance in masculinity.

  • Factor Analysis - Extracting the Factors8:02
  • Factor Analysis - Eigenvalues4:55
  • The Scores5:01

    Compute factor scores from a one-factor solution using item loadings and interpret standardized masculinity scores (mean zero, sd one), including gender comparisons.

Requirements

  • None

Description

Included in this course is an e-book and a set of slides. The purpose of the course is to introduce students to factor analysis, when it is used and how it is used. The course does not assume the use of any specific statistical software. Therefore, this course should be of use to anyone intending interested in factor analysis. The theory is explained in an intuitive way while keeping the math at a minimum. The course starts with a simple one-dimensional example where the concepts of reliability, loadings, and eigenvalues are explained. The course then moves to two-dimensions where the concept of rotation is explained. Different rotation techniques are discussed in addition to the differences between them.

In the second part of the course, students walk through a case study in a step-by-step approach in order to see how the techniques are applied and what sort of logic is used in each step. In this part, students will walk through a large project in order to understand the type of questions that are raised throughout the process.

Who this course is for:

  • Beginner students who want to learn about factor analysis