# Is it possible to conduct ANOVA on paired samples?

I have data similar to that (fake values):

| Individual | Profession  | Software_A | Software_B |
|------------|-------------|------------|------------|
| A          | Teacher     |        4.5 |        3.2 |
| B          | Cop         |        5.0 |        2.0 |
| C          | Teacher     |        2.0 |        1.2 |
| D          | Cop         |        5.0 |        2.0 |
| E          | Hairstylist |        1.0 |        0.5 |


Need to test if mean rates of Software_A is greater than Software_B for some Professions.

I can conduct a Paired Sample T-test comparing means, but that would give me the overall difference, not within groups.

Is there something like a Paired Sample ANOVA?

# Possible solutions

1. Should I simply compute a new variable called Rate_Difference = Software_A - Software_B and conduct ANOVA with Profession?
| Individual | Profession  | Software_A | Software_B | Rate_Difference |
|------------|-------------|------------|------------|-----------------|
| A          | Teacher     |        4.5 |        3.2 |             1.3 |
| B          | Cop         |        5.0 |        2.0 |               3 |
| C          | Teacher     |        2.0 |        1.2 |             0.8 |
| D          | Cop         |        5.0 |        2.0 |             0.5 |
| E          | Hairstylist |        1.0 |        0.5 |             0.5 |

1. Should I restructure data turning Software_A and Software_B into different cases and perform a Bivariate ANOVA on Rate versus Software versus Profession?
| Individual | Profession  | Software | Rate |
|------------|-------------|----------|------|
| A          | Teacher     | A        |  4.5 |
| B          | Cop         | A        |  5.0 |
| C          | Teacher     | A        |  2.0 |
| D          | Cop         | A        |  5.0 |
| E          | Hairstylist | A        |  1.0 |
| A          | Teacher     | B        |  3.2 |
| B          | Cop         | B        |  2.0 |
| C          | Teacher     | B        |  1.2 |
| D          | Cop         | B        |  2.0 |
| E          | Hairstylist | B        |  0.5 |