Chapter 2 Data Structure
2.1 Collected SGBA-5 Responses
After collecting responses from the SGBA-5 you will have a dataset that looks something like this:
| pt_id | sex | gen_id | gen_exp | gen_role | gen_rel |
|---|---|---|---|---|---|
| 1 | Female | 48 | 99 | 70 | 25 |
| 2 | Male | 100 | 17 | 99 | 2 |
| 3 | Female | 64 | 48 | 88 | 40 |
| 4 | Female | 24 | 46 | 36 | 88 |
| 5 | Male | 73 | 23 | 19 | 26 |
Note: The values in this table are placeholders for the example, not real data
Where:
pt_id is the participant identifier.
sex is the SGBA-5 categorical Biological Sex item.
- Response options of “male”, “female”, and “intersex”.
gen_id is the SGBA-5 Gender Identity gendered aspect of health item.
- Responses are recorded as ordinal values between 0 to 100 on a feminine to masculine scale (measured in mm if completed on paper).
gen_exp is the SGBA-5 Gender Expression gendered aspect of health item.
- Responses are recorded as ordinal values between 0 to 100 on a feminine to masculine scale (measured in mm if completed on paper).
gen_role is the SGBA-5 Gender Role gendered aspect of health item.
- Responses are recorded as ordinal values between 0 to 100 on a feminine to masculine scale (measured in mm if completed on paper).
gen_rel is the SGBA-5 Gender Relations gendered aspect of health item.
- Responses are recorded as ordinal values between 0 to 100 on a feminine to masculine scale (measured in mm if completed on paper).
2.2 Simulated Data
This example analysis uses simulated data. If you wish to replicate the simulate data, the R code to do so is included in the Appendix or a .csv file of the simulated data can be downloaded from this example’s github page.