I have very little (i.e. high school level) stats training, so forgive me if anything in here doesn't make sense.
A team at my work has performed a training exercise for about 250 employees and has conducted a survey afterwards about how the training has affected their day-to-day work. The survey comprises about 10 statements about the training, each with 6 possible responses (Strongly Disagree", Disagree, Slightly Disagree, Slightly Agree, Agree, and Strongly Agree).
I have been tasked with figuring out how effective different aspects of the training were, based on the survey results.
The initial approach suggested was to count the percentage of Agree or Strongly Agree answers for each question and use this as an effectiveness measure.
However, I've been thinking that if somebody "strongly" agrees or disagrees with a given statement, that their opinion should be weighted more heavily (since they have formed a definite opinion on the subject), and if somebody only "slightly" agrees or disagrees, their opinion should not be as heavily weighted (since they are pretty neutral about the subject).
So, for instance, each "slightly" answer should be counted as 0.5 of a response and each "strongly" answer should be counted as 1.5 responses.
Is there any precedence for this sort of analysis, or am I just overcomplicating things?