One of the hardest steps in any project is learning to ask the right research question!
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One of the hardest steps in any project is learning to ask the right research question!
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What do you do if the assumptions of linear models are violated?
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Exact and randomization tests are simple from a conceptual level and need fewer assumptions than traditional parametric tests. They do require substantial computing power, but nothing that can’t be handled by the computer you have today. (more…)
Interactions in statistical models are never especially easy to interpret. Throw in non-normal outcome variables and non-linear prediction functions and they become even more difficult to understand. (more…)
Many data sets are challenging and time consuming to work with because the data are seldom in an optimal format.