rejecting the null is useful, yet in the social sciences– “May we transition to a Bayesian approach” considering the data as a “prior” and then, as data analysts, we track and later redo the analysis (posterior), which helps us observe change and, indubitably, trajectory. It is often unhelpful to see social science data from Fisher’s perspective, if you ask me, or simply banal.
Using R in Nonparametic Statistical Analysis: The Binomial Sign Test
A tutorial by D.M. Wiig
One of the core competencies that students master in introductory social science statistics is to create a null and alternative hypothesis pair relative to a research question and to use a statistical test to evaluate and make a decision about rejecting or retaining the null hypothesis. I have found that one of the easiest statistical tests to use when teaching these concepts is the sign test. This is a very easy test to use and students seem to intuitively grasp the concepts of trials and binomial outcomes as these are easily related to the common and familiar event of ‘flipping a coin.’
While it is possible to use the sign test by looking up probabilities of outcomes in a table of the binomial distribution I have found that using R to perform the analysis…
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