Factor Analysis Types – Confirmatory & Exploratory YouTube Lecture Handouts
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Factor Analysis: 2 Types – Confirmatory & Exploratory
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Exploratory Factor Analysis

Measure underlying factors affecting the variables in a data structure without setting any predefined structure to the outcome

Not based on prior theory
Confirmatory Factor Analysis (2 Types)

Confirm predefined components already explored

Implemented for reconfirming the effects and possible correlations existing between a set of predetermined factors and variables

Larger sample size

Produces inferential statistics
Traditional Approach

Based on principle factor analysis rather than common factor analysis

Knows more about factor loading

Factor loading  Relation of each variable to the underlying factor. Output of a simple factor analysis looking at indicators of wealth, with just six variables and two resulting factors

6 variables: Income, education, occupation, house value, public parks and crimes

2 factors: individual socioeconomic status and neighborhood socioeconomic status

Factor Score – if value of variables are given then factor values can be predicted
Structural Equation Modeling

To formulate a relationship between a set of variables and factors and measures causal relationship using linear equation model.

Can be used for confirming result under scrutiny and testing predicted outcomes
Manishika