Suppose you are conducting an experiment, and you have 8 different treatments you are testing on lab mice. Assume that the outcome is a continuous random variable, and your main research question is whether or not the distribution of the outcome differs across treatment groups. You notice that the within group standard deviations differ greatly from one group to the next. Which of the following analytical approaches would be advisable to take in this situation?
Suppose you are conducting an experiment, and you have 8 different treatments you are testing on lab mice. Assume that the outcome is a continuous random variable, and your main research question is whether or not the distribution of the outcome differs across treatment groups. You notice that the within group standard deviations differ greatly from one group to the next. Which of the following analytical approaches would be advisable to take in this situation?
Question 23 options:
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Conduct a simple linear regression between the outcome and the treatment group assignment. |
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Conduct an ANOVA followed by post-hoc Bonferroni adjustment. |
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Conduct a Kruskal-Wallis test |
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Calculate within-group Spearman |
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