$1.$ Reliability Testing for Pre$-$Attitude Items: Using the pre$-$attitude items $($Pre$\_$Att$1\_$Berlin, $40$ : Pre$\_$Att$1\_$Berlin $7\mathrm{.}00$

Visible: $37$ of $37$ VariablesPre$\_$Att$2\_$Berlin, Pre$\_$Att$3\_$Berlin$),$ calculate the Cronbach's alpha to test the reliability of the scale. Report and interpret the results. If the Cronbach's alpha is below an acceptable threshold, suggest a method to improve the reliability of the scale according to best

practices.

$2.$ VR Berlin Tourism Experience: Analyze the difference in attitude scores before and after the VR Berlin tourism experience. Create and use the average scores of each attitude construct $($Pre$-$ and Post$-$ attitudes toward Berlin$)$ for your analysis. Interpret the results and discuss how the VR tourism experience might influence attitudes toward Berlin as a tourism

destination.

$3.2$D Berlin Tourism Experience: Examine the difference in attitude scores before and after the $2$D Berlin tourism experience. Again, create and use the average scores of each attitude construct $($pre$-$ and post$-$attitude towards Berlin$)$ for your analysis. Interpret the results and discuss the impact of the $2$D tourism experience on attitude toward Berlin as a tourism destination.

$4.$ Attitude$-$Behavior Relationship in VR Rome Tourism: In the context of the VR Rome tourism experience, test the strength of the relationship between post$-$visit attitudes $($using the average score of post$-$attitudes$)$ and subsequent behaviors $($Using Intent to visit Rome$).$ Interpret and discuss the results, considering how attitudes might predict related behaviors.

$5.$ Information Search Behavior Post$-$Tourism Experience: Investigate the relationship between three tourism destinations within the variable $$Info$\_$Search$($Berlin$,$ Rome, and Paris$)$ and the information search behavior on Google $($Info$1-12).$ Using the data, make crosstab of the variables INFO$1$ to $12($column$)$ and Info$\_$Search $($row$).$ Discuss how the destination experience influences the information people seek when considering these destinations. The findings will reveal the specific information that participants are seeking about each

destination$40$ : Pre$\_$Att$1\_$Berlin $7\mathrm{.}00$

Visible: $37$ of $37$ Variables