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Author Question: Why should we use parametric statistical tests when analyzing ordinal data if we could just as ... (Read 29 times)

D2AR0N

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on: Jun 19, 2018
Why should we use parametric statistical tests when analyzing ordinal data if we could just as easily use nonparametric tests? We do so because _____.
 
  a. nonparametric tests are too powerful
  b. parametric tests are descriptive statistics
  c. nonparametric tests take too long to compute
  d. parametric tests are more powerful than nonparametric tests

Question 2

The inferential statistics for most ordinally scaled dependent measures are _____.
 
  a. the t test and Chi-square c. the t test and Friedman's test
  b. the t test and analysis of variance d. analysis of variance and Chi-square


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guyanai

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

D
Being more powerful, parametric tests are more likely to detect a relationship between variables if one exists than are nonparametric tests.

Answer to Question 2

B
Chi-square and Friedman's test are nonparametric statistics. Both the t test and the analysis of variance require at least ordinal data.


D2AR0N

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Reply 2 on: Jun 19, 2018
Gracias!

meganmoser117

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Reply 3 on: Yesterday
YES! Correct, THANKS for helping me on my review

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