Pre/Post survey analysis

[Sun Gno]

Hi all, thanks in advance for your help.
I'm a student who needs help on pre/post survey data analysis.
I have survey data on students before and after an intervention.
The data is composed of 5 parts: strongly agree, agree, neutral, disagree, strongly disagree, which I've coded as 1,2,3,4,5
PRE POST
Student 1 1 4
Student 2 3 3
Student 3 3 5
...

Does anyone have any suggestions on how to find whether the intervention had a significant effect? I want to know whether the intervention worked (as in, did it help students get more interested in the field?) The intervention was a shadowing program with the purpose of helping students get more interested in a particular career field. I've done t-tests in the past but I don't know how to do an analysis where there are 5 different components in a student's response. Any help would be appreciated.

With thanks,
Sun

EDIT- and how do I get a sense of which direction that the intervention went? Whether the intervention convinced them in one direction or another.

[Phil Bromiley]

You didn't get a quick answer. You'll increase your chances of a useful answer by following the FAQ on asking questions - provide Stata code in code delimiters, readable Stata output, and sample data using dataex.
However, the level of your question suggests you don't have even a basic understanding of the problem. You need to do the background reading. It looks like your dv is ordinal so an ordinal logit is likely to be a good way to go.