R
rbb101
I have a questionnaire that is broken down into 5 sections or phases. Each
section has 2 questions with a possible score of 1-3. The responses to the
two questions are added together to get the section score.
For example, questions [Neg1] and [Neg2] are added together to get
[NegScore]. But only these two questions also have the possibility of an
“N/A†response.
Each section score is then added to arrive at the overall questionnaire
score.
I am trying to figure out how to apply a weight to each section that takes
into account the possibility of an NA response.
With no N/A responses the weights would be:
Section
InvScore 30%
CovScore 5%
NegScore 15%
DocScore 25%
ProScore 25%
With an N/A response, the weight in [NegScore] needs to be redistributed
equally among the other 4 sections since that section does not apply:
InvScore 33.75%
CovScore 8.75%
NegScore 0%
DocScore 28.75%
ProScore 28.75%
Does anyone have any suggestions on how to accomplish this or a better
approach to handling weighted questions with NA responses.
section has 2 questions with a possible score of 1-3. The responses to the
two questions are added together to get the section score.
For example, questions [Neg1] and [Neg2] are added together to get
[NegScore]. But only these two questions also have the possibility of an
“N/A†response.
Each section score is then added to arrive at the overall questionnaire
score.
I am trying to figure out how to apply a weight to each section that takes
into account the possibility of an NA response.
With no N/A responses the weights would be:
Section
InvScore 30%
CovScore 5%
NegScore 15%
DocScore 25%
ProScore 25%
With an N/A response, the weight in [NegScore] needs to be redistributed
equally among the other 4 sections since that section does not apply:
InvScore 33.75%
CovScore 8.75%
NegScore 0%
DocScore 28.75%
ProScore 28.75%
Does anyone have any suggestions on how to accomplish this or a better
approach to handling weighted questions with NA responses.