## 3 Methods
### Stimuli Development
#### 3.2.2 Question Sensitivity (Pre-Test)
After, the remaining questions were separated into groups based on their sensitivity: one group consisted of the questions with the lowest average sensitivity and the other of the questions with the highest average sensitivity. To make sure that each context had the same number of questions in each group, the number of questions per group was reduced to 8. T-tests were performed with SPSS (Armonk, NY, USA) to confirm that the difference between low and high-sensitivity question groups was statistically different. The results of these tests revealed that the low and high-sensitivity questions were statistically different for each context. The statistics relating to the question sensitivity comparisons per context are summarized in the following Table 2.  
These tests confirmed that the low-sensitivity questions were statistically different from the high-sensitivity questions in each context. Moreover, two one-way ANOVA were also performed with SPSS to verify that all the low-sensitivity question groups from the six different contexts were not statistically different--in other words, they were equivalent--and the same was done for all the high sensitivity questions groups. The summary of these tests is presented in the following Tables 3 and 4. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline  & **Degrees of Freedom** & **Sum of Squares** & **Mean Square** & & \\ \hline
**Source** & **DF** & **SS** & **MS** & **F-Stat** & \(p\)**-Value** \\ \hline Between & 5 & 2.6537 & 0.5307 & 2.5544 & 0.042 \\ Groups & 42 & 8.7265 & 0.2078 & & & \\ Total & 47 & 11.3802 & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Comparison of Contexts for High Sensitivity Questions. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline  & & **Low Sensitivity Question** & **High Sensitivity Questions** & & & \\ \hline
**Context** & **Question Sensitivity Comparison** & **N** & **Mean** & **Std.** & **N** & **Mean** & **Std.** & \(p\)**-Value** \\ \hline Career & Low vs. High & 8 & 2.82 & 0.44 & 8 & 4.76 & 0.46 & \(<\)0.0001 \\ Dating & Low vs. High & 8 & 2.84 & 0.62 & 8 & 4.94 & 0.67 & \(<\)0.0001 \\ Grocery & Low vs. High & 8 & 2.78 & 0.21 & 8 & 4.2 & 0.31 & \(<\)0.0001 \\ Gym & Low vs. High & 8 & 2.88 & 0.25 & 8 & 4.51 & 0.33 & \(<\)0.0001 \\ Insurance & Low vs. High & 8 & 3.36 & 0.41 & 8 & 4.74 & 0.26 & \(<\)0.0001 \\ Travel & Low vs. High & 8 & 2.91 & 0.13 & 8 & 4.58 & 0.57 & \(<\)0.0001 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Comparison of Low and High Sensitivity Questions Per Context. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline  & **Degrees of Freedom** & **Sum of Squares** & **Mean Square** & & \\ \hline
**Source** & **DF** & **SS** & **MS** & **F-Stat** & \(p\)**-Value** \\ \hline Between & 5 & 1.8546 & 0.3709 & 2.5645 & 0.041 \\ Groups & 42 & 6.0746 & 0.1446 & & & \\ Total & 47 & 7.9291 & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Comparison of Contexts for Low Sensitivity Questions. These results show that the \(p\)-value equals 0.041. Thus, the difference between the low-sensitivity groups is not statistically significant. These results show that the \(p\)-value equals 0.042. Thus, the difference between the high-sensitivity groups is not statistically significant. In sum, these tests confirmed that the low and high-sensitivity questions in each context were statistically equivalent. In the end, the pre-tested questions were used to manipulate the question sensitivity in the experiment. The questions classified as general represented low sensitivity manipulation, and the questions classified as sensitive, the high sensitivity manipulation. Meanwhile, relevance was a control variable in this study.