9 Questions
Which of the following is true about non-parametric tests?
Non-parametric tests are used when assumptions for parametric tests are violated.
What is the Spearman correlation coefficient used for?
Assessing the strength of a monotonic relationship between two variables.
What does it mean for a relationship between two variables to be monotonic?
The relationship consistently increases or decreases.
True or false: Non-parametric tests have more statistical power than parametric tests.
False
True or false: The Spearman correlation coefficient works on the ranks of data, unlike the Pearson correlation.
True
True or false: Monotonic relationship means that the pairs of data consistently increase or decrease when ordered.
True
Match the following non-parametric tests and their descriptions:
Spearman correlation = Assesses strength of monotonic relationship between two variables, linear or non-linear Wilcoxon test = Non-parametric test for comparing two paired samples Non-parametric tests = Tests used when assumptions for parametric tests are violated Monotonic relationship = A relationship where pairs of data consistently increase or decrease when ordered
Match the following symbols and their representations in Spearman correlation:
rho (ρ) = Spearman correlation coefficient rs = Also referred to as Spearman correlation coefficient p = Significance level of the statistical test n = Sample size
Match the following assumptions and the tests they apply to:
At least one variable needs to be continuous = Spearman correlation The relationship between the two variables is monotonic = Spearman correlation Data is not normal = Non-parametric tests Most researchers aim to run parametric tests = Parametric tests
Test your knowledge on non-parametric alternatives in research methods with this quiz. Learn about the Spearman correlation and Wilcoxon test, and understand when and why researchers use non-parametric tests instead of parametric tests.
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