I am using the Harvard Trauma Questionnaire (HTQ) Trauma Events scale (original version) that has 17 items (17 different traumatic events) with 4 response options, indicating 4 levels of exposure: experienced, witnessed, heard about it, and no. In SPSS, I have already coded each of the 17 items with the following value labels: .00 = No, 1.00 = Heard about it, 2.00 = Witnessed, 3.00 = Experienced.
I want to calculate a categorical variable by counting all the positive responses on each of the four categories of responses to produce a total number of events experienced, total number of events witnessed, total number of events heard about, and so on.
Because I want to differentiate between direct and indirect exposure, I also want to calculate the total number of events by counting as 1 any response other than 'no' and 'heard about it,' which would mean that I would need to create a dichotomous dummy variable.
In order to do the above, do I need to create two additional variables for Part 1 of the HTQ? If so, how do I go about doing this in SPSS? Any guidance would be greatly appreciated.
There are two ways to this; 1. Do another coding and use intervals of 0-1 and 2-3
2. Use Independent T-test for when it is this or when it is that.
This sort of analysis can be done in descriptive stats.you could calculate the mean etc of the data in frequency tables in spss. But in case you want calculate a categorical variable by counting all the positive responses on each of the four categories of responses to produce a total number of events experienced, total number of events witnessed, total number of events heard about, and so on,it is recommeded that you use the excel as the analysis of this would be represented in teh form of pie charts based on frequency of each option in your categorical data
- Badges
- Science topic
- Similar topics
- Mathematical Sciences
- Statistics
- Statistical Software
- SPSS