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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

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### 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

• 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?

• Unit weighting is usually sufficient

• Could you add veterans’ preference or religious preference?

Chap 7 Multivariate Statistics

### 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

• What IS cross validation?

• Why is it necessary?

Chap 7 Multivariate Statistics