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LMauney@UOR LMauney@UOR
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6 years ago
The purpose of canonical correlation is to determine the magnitude of the relationship between
 
  a. a set of predictor variables and a set of criterion variables.
  b. a set of predictor variables and an individual's group membership.
  c. two or more factor scores.
  d. a set of predictor variables and a single criterion variable.

Ques. 2

Choose the index of correlation appropriate for use in each of the following. Teachers ranking of importance of educational outcomes and their pupils ranking of these outcomes
 
  a. Spearman rho c. Phi coefficient
  b. Pearson's r

Ques. 3

Choose the index of correlation appropriate for use in each of the following. Final exam scores in algebra and scores on a math aptitude test
 
  a. Spearman rho c. Phi coefficient
  b. Pearson's r

Ques. 4

Choose the index of correlation appropriate for use in each of the following. Success or failure in algebra and gender
 
  a. Spearman rho c. Phi coefficient
  b. Pearson's r

Ques. 5

Choose the index of correlation appropriate for use in each of the following. Aptitude test scores and GPA
 
  a. Spearman rho c. Phi coefficient
  b. Pearson's r

Ques. 6

A study with college students found no correlation between hours of study for an examination and test performance. This probably means
 
  a. the amount of study time by a student has no effect on test scores.
  b. hours of study and test performance are both influenced by a third variable, scholastic aptitude.
  c. there is a negative relationship between amount of study and test performance.
  d. None of these are correct.

Ques. 7

A measure of political conservatism was administered to representative samples of persons of ages 18, 21, 30, 45, and 60, and their respective mean scores were 65, 90, 85, 75, 70 . The correlation between age and political conservatism is
 
  a. 1.0 c. linear.
  b. 1.0 d. curvilinear.

Ques. 8

Statistical significance of a correlation tells us
 
  a. whether it is useful in a practical situation.
  b. whether it is useful for predicting a criterion.
  c. how much variance the measures have in common.
  d. how likely it is that the observed correlation is only a function of chance.
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hodhhodh
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6 years ago
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LMauney@UOR Author
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6 years ago
I'd be lost without this website, honestly
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