![]() ![]() Students come up with variables like class, gender, physical strength, social ties, location of the cabins etc. In our teaching, we always start with the research question: What explains higher or lower survival probability on the Titanic? We do some initial theorizing with the students, and ask them to suggest explanatory variables that may have led to a higher or lower probability of surviving on the Titanic. A step-by-step exercise and a pedagogical paper as well as two other publications using the mixed methods dataset are downloadable as well (Stolz and Lindemann 2019 Stolz, Lindemann and Antonietti 2018). The qualitative and quantitative datasets are linked and ready for mixed methods analysis. The website includes the downloadable datasets of survivor testimonies (n = 214) in MAXQDA format and a version of the famous quantitative data set of the perished and survived individuals (n = 2207) on the Titanic. RMS Titanic departing Southampton on April 10, 1912. The analysis permits not only modeling the relationship between independent and dependent variables, but also reconstructing the mechanisms that led to the different survival probabilities. The great thing about this example is that the Titanic data allow you to show that a mixed methods analysis is actually superior to a mono-method analysis of the survival probabilities on the Titanic. Students are interested both by the historical case of the Titanic and by the spectacular correlations between gender/class and likelihood of survival. We have used the Titanic dataset to teach mixed methods for years and it always works extremely well. To at least partially address this problem, we have now made the Titanic data set publicly available at. ![]() Free mixed methods data sets are still rare. ![]()
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