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FactorAnalysis

# supervisor coworker task variety growth opportunity

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Unformatted text preview: on ?? ?? ?? Supervisor Coworker ?? ?? Task Variety Growth Opportunity Participation 7 Factor Analysis of Job Factor Satisfaction Items Satisfaction Boss-Fair Task Variety .60 Boss- Respect .75 .73 Participation Decision Making Boss- Listen .61 .68 .73 .73 Participation JP Evaluation .71 Growth Opportunity .51 CoworkerRespect CoworkerListen 8 Factor Analysis Factor Benefits of using scale scores as variables Benefits (IVs or DVs) (IVs More reliable than single- item responses More (Consistency) (Consistency) Benefits of using scale scores as Benefits predictors predictors Avoids the multicollinearity problem Combines highly correlated items into a single Combines predictor variable predictor Factor Analysis (FA) Factor Step 1: Identify metric variables or items Step metric 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 Oblim Direct Factor Analysis (FA) Factor Step 3: Identify # of Factors in Results Step Eigen Values – Eigen Amount of variance in all items explained by a Amount factor (look at %) factor Each retained EVs represents one factor found in Each the analysis the Rule of Thumb: Retain factors with Eigen Values Rule greater t...
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