changing from wide to long, using mixed logistic model

[Rose Matthews]

I would like to change the data from wide to long format and insert a variable which indicate (1) is the pre score and (2) post score

Background:
pre* - are scores measured pre-procedure, each variable pre* is scored 1-5. Each variable pre* represent a question of an ability to do something.
post* are scores measured post procedure, each variable post* is scored 1-5. Each variable post* represent a question of an ability to do something after procedure


Question:
When I try reshape using help

reshape long pre* post*, i(ptid) j(qtype)

Stata reports an error:

You typed something like reshape wide a b, i(i) j(j).
reshape looked for existing variables named a# and b# but could not find any.

However I can't understand why it can not find pre* post* (seen datex sample below)

I assume after reshaping, I'll have a variable which indicates 1 is the pre* and 2 is the post*

* Example generated by -dataex-. For more info, type help dataex
clear
input float(pre1 pre2 pre3 pre4 post1 post2 post3 post4 procedure) str2 surgeonid float ptid
1 3 3 2 4 3 5 5 1 "11" 1
2 4 5 3 3 5 4 4 0 "22" 2
2 3 3 3 3 3 4 3 1 "11" 3
. 4 3 4 4 1 1 3 1 "22" 4
3 1 1 1 1 5 4 4 0 "22" 5
end

[Andrew Musau]

You need stubs for reshape, so remove the asterisks. See

help reshape

reshape long pre post, i(ptid) j(qtype)