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Chapter 7 Using Multivariate Statistics P173. Multiple Regression Multiple Correlation What’s the difference between regression and correlation? Validity Generalization. COMPENSATORY PREDICTION MODELS. Regression Equations Y = a + b 1 X 1 + b 2 X 2

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chapter 7 using multivariate statistics p173
Chapter 7 Using Multivariate Statistics P173
  • Multiple Regression
  • Multiple Correlation
    • What’s the difference between regression and correlation?
  • Validity Generalization

Chap 7 Multivariate Statistics

compensatory prediction models
COMPENSATORY PREDICTION MODELS
  • Regression Equations
    • Y = a + b1X1 + b2X2
    • what’s the difference between b and β weights?
    • Why use one or the other?
  • Multiple Correlation
    • How are the correlations among the predictors related to the multiple R?
    • Would you want high correlations among predictors?
  • Suppressors and Moderator Variables
    • Examples of suppressor variables
    • Suppressor variables explained
    • Suppressors
      • How could reading ability act as a suppressor for security guard performance?
    • Moderators
      • How could social skills moderate the conscientiousness-performance relationship?
  • Other Additive Composites
    • Unit weighting is usually sufficient
    • Could you add veterans’ preference or religious preference?

Chap 7 Multivariate Statistics

noncompensatory predition models
NONCOMPENSATORY PREDITION MODELS
  • Multiple Cutoff Models
    • Two situations warrant it:
      • 1. vital trait
      • 2. if variance is too low (small) to yield sig r.
    • What can happen if cutoffs are all very low?
    • What can happen if cutoffs are all very high?
  • Sequential Hurdles
    • When could this be useful?

Chap 7 Multivariate Statistics

replication and cross validation
REPLICATION AND CROSS-VALIDATION
  • What IS cross validation?
  • Why is it necessary?

Chap 7 Multivariate Statistics

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