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Coworker ?? ??
7 Factor Analysis of Job
Variety .60 Boss- Respect
Decision Making Boss- Listen .61 .68 .73
JP Evaluation .71
Opportunity .51 CoworkerRespect
8 Factor Analysis
Benefits of using scale scores as variables
(IVs or DVs)
(IVs More reliable than single- item responses
(Consistency) Benefits of using scale scores as
predictors Avoids the multicollinearity problem
Combines highly correlated items into a single
predictor Factor Analysis (FA)
Step 1: Identify metric variables or items
that are correlated
Step 2: Perform FA and generate a
reduced set of factors.
• Set Extraction – Principle Components
Set Rotation – Should factors correlate?
• No (Orthogonal) – Use Varimax Rotation
• Yes (Oblique) – Use direct oblim Extraction Method:
Kaiser’s Rule pg. 448
Kaiser’s Specify Rotation Type: Varimax or
Direct Factor Analysis (FA)
Step 3: Identify # of Factors in Results
Step Eigen Values –
Amount of variance in all items explained by a
factor (look at %)
Each retained EVs represents one factor found in
Rule of Thumb: Retain factors with Eigen Values
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This document was uploaded on 02/19/2014.
- Spring '14