Doing the Wilcoxon signed-rank test with the world development indicators (2006-2012) in SPSS | Learn to use the Wilcoxon signed-rank test in SPSS with data from the World Development Indicators (2002-2012)
2018
This dataset example introduces readers to the Wilcoxon signed-rank test. This technique allows researchers to test whether there is a difference between two related groups of measurements. Hence, it is commonly used to study any change in the subjects from one time point to another, or to compare the effects of different treatments/conditions. This example uses a subset of the data from the World Development Indicators from the World Bank. It examines any global change in the Gini index between 2006 and 2012 across the world. Results from an analysis like this could reveal global changes in the equality of wealth and inform economic and government policies.In this example, readers are introduced to the basic theory and assumptions underlying this technique, the type of questions this technique can be used to answer, and how to produce and report results. The sample dataset has been cleaned and organized to make this example easier to follow. Interested readers should read the full documentation for the dataset before using it for research (http://data.worldbank.org/data-catalog/world-development-indicators/).
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