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Author Question: Loglinear analysis is a better statistical test than ANOVA when predicting a nominal dependent ... (Read 264 times)

sabina

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  • Posts: 563
on: Jun 19, 2018
Loglinear analysis is a better statistical test than ANOVA when predicting a nominal dependent variable because
 
  a. p-values are always lower in ANOVA.
  b. ANOVA should only be used when the dependent variable has an approximately normal distribution.
  c. loglinear analysis is easier to compute.
  d. loglinear analysis creates more Type 2 errors.

Question 2

Natalie is interested in predicting interpersonal attraction from knowledge about proximity and physical attractiveness. She first enters these two variables in her analysis. Then, after obtaining preliminary results, she adds the predictor variables of income and status. Natalie is using which of the following?
 
 a. Factor analysis
 b. Simultaneous multiple regression
 c. ANOVA
 d. Hierarchical multiple regression



joechoochoy

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  • Posts: 306
Reply #1 on: Jun 19, 2018
Answer to Question 1

b

Answer to Question 2

d


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