Common use of Preprocessing Clause in Contracts

Preprocessing. Before the Bayesian analysis, we cleaned the data and visualized general tendencies present in the data as summary plots using the tidyverse package system in R (▇▇▇▇▇▇▇ et al., 2019). In the data-cleaning process, we had several criteria for exclusion. The first criteria was participants’ native language: we excluded participants whose native language is not Turkish. The second criteria was their accuracy in practice items: if they give wrong answers to more than half of the questions, we excluded them from the analysis. We also excluded participants that answered the questions too fast, that is below 200 milliseconds. Finally, we excluded participants with too many inaccurate answers in control conditions. We did not include missing data points or exclusions in our analysis and assumed that data were missing completely at random (▇▇▇ ▇▇▇▇▇▇, 2018). In this thesis, we do not report the rates of missing data, but our raw data is available.