I am undergraduate student who is currently doing the final year project. Due to the MCO, I am not able to contact my supervisor because she wasn't replying me. However, my submission is around the corner, therefore, I post my questions here and I hope to get feedback from all the professionals. I am confusing whether or not I should use reverse-score in my data analysis.

Please refer to Picture (1), the dimension of "Knowledge of disability" consisted of three items. I am wondering should I use reverse-score for the item 1 and item 2? What I think is, they should use reverse score because these two items are running an opposite way compared to item 3, so am I right?

Other than that, please refer to Picture (2), these questions aimed to explore parents' perceptions towards inclusive education. I think I should use the normal scaling system to calculate the mean for each of the dimension, including the "Potential Risks" (I hope I am not wrong). However, when it comes to overall perceptions, am I required to use reverse scaling system for the dimension of "Potential Risks" or I should proceed with the normal scaling system?

Moreover, if reverse-score is required, then am I required to use the results (with reverse-score) to perform all my t-test and correlation or only the test for overall dimension? Please refer to the table below:

T-test

Experiences and Attitudes

Experiences and Perceived Benefits

Experiences and Perceived Risks

Experiences and Overall Perception

Correlation

Qualification and Attitudes

Qualification and Perceived Benefits

Qualification and Perceived Risks

Qualification and Overall Perception

My question is, I should use reverse-score for the overall perception, or both the perceived risks and overall perception?