Tool
1 0:
D ata
C ollection
P lan
T emplate
The
D ata
L ead
s hould
t ake
c harge
o f
c ompleting
t he
D ata
C ollection
P lan
T emplate.
H ere
i s
s ome
g uidance
f or
c ompleting
e ach
c olumn:
Data
E lements.
T o
d efine
s tudent
o utcomes,
s imply
t ransfer
t he
o utcomes
y ou’re
m easuring
f rom
t he
S tudent
O utcomes
I dentification
•
Tool
( Tool
3 ).
F or
o ther
t ypes
o f
d ata
e lements,
w ork
w ith
t he
r est
o f
t he
P lus
5 0
P rogram
T eam
t o
c onsider
t he
a reas
y ou
w ill
w ant
t o
collect
s tudent
f eedback
o n.
D on’t
f eel
t hat
y ou
h ave
t o
d o
e verything
t he
f irst
y ear.
Y ou
c an
b uild
u p
y our
d ata
c ollection
p lan
o ver
t ime.
Data
S ource/Data
C ollection
T ool.
I dentify
t he
d ata
s ources
f or
d ata
o n
s tudent
o utcomes
a lready
c ollected
b y
s omeone
e lse.
F or
•
example,
d egree
o r
c ertification
c ompletion
r ates,
o r
s tudents
r eceiving
c redit
f or
p rior
l earning
a nd
e xperiences,
i s
m ost
l ikely
c aptured
by
a
d atabase
m anaged
b y
t he
i nstitutional
r esearch
d epartment.
T here
a re
l ikely
t o
b e
s ome
s tudent
f eedback
t hat
y ou
w ill
w ant
t o
measure
u sing
a
s tudent
s urvey;
f or
e xample,
p articipants’
e valuation
o f
t he
u sefulness
o f
a
w orkshop,
w hether
t he
l ength
o f
t ime
f or
instruction
w as
s ufficient,
o r
i f
t he
t iming
o f
d elivery
o f
a
s ervice
w as
e ffective.
F or
t hese
t ypes
o f
f eedback,
e nter
“ student
s urvey”
i n
this
c olumn.
F or
s tudent
f eedback,
y ou
w ill
m ost
l ikely
u se
a
s urvey,
b ut
y ou
m ay
a lso
u se
a
f ocus
g roup.
C onsult
T ool
8
a nd
T ool
9
i n
t he
online
P lus
5 0
F ormative
E valuation
T oolkit
t o
m ake
a
d ecision
a bout
d ata
c ollection
t ools.
Timing
o f
D ata
C ollection.
W hen
y ou
c ollect
y our
d ata
w ill
d epend
o n
m any
f actors:
w hen
t he
t erms
a re
o ver
( e.g.,
y ou
m ay
n ot
w ant
•
to
w ait
u ntil
t he
e nd
o f
t he
y ear
i f
y our
p articipants
a re
e ngaged
i n
c ourses
t hat
a re
o ver
i n
l ess
t han
n ine
m onths);
t he
s chedule
o f
d ata
collection
t hat
w orks
f or
t he
i nstitutional
r esearch
d epartment;
a nd
w hen
y ou
n eed
t o
h ave
d ata
f or
p rogram
i mprovement
p urposes.
The
D ata
L ead
s hould
w ork
w ith
t he
P rogram
T eam
t o
a ssess
w hen
d ifferent
t ypes
o f
d ata
c ollection
s hould
h appen.
Person
R esponsible
f or
C ollecting
D ata.
T his
p erson
i s
m ost
l ikely
t o
b e
t he
D ata
L ead
b ut
t he
D ata
L ead
m ay
w ant
t o
d esignate
•
others
t o
c ollect
c ertain
t ypes
o f
d ata.
F or
e xample,
i f
a n
i nstitutional
r esearch
r epresentative
i s
o n
t he
P lus
5 0
P rogram
T eam,
t he
Evaluation
L ead
m ay
d esignate
h er/him
t o
c ollect
d ata
f rom
t he
c ollege
d atabases.
Y ou
a re
l ikely
t o
h ave
o ther
“ designated
t rackers”
i n
each
o f
t he
v arious
d epartments
t hat
s tudents
m ove
t hrough
s uch
a s
r egistrar,
t esting,
f inancial
a id,
a nd
a dvising.
A s
y ou
r eview
t he
Plus
5 0
F ormative
E valuation
T oolkit,
y ou
w ill
f ind
m ore
g uidance
o n
h ow
t o
a ssign
d ata
c ollection
r oles,
a nd
h ow
t o
g et
s upport
f rom
the
d epartments
t hat
t he
P rogram
T eam
i s
w orking
w ith.
Data
C ollection
P lan
Person
R esponsible
f or
C ollecting
Data
E lements
Data
S ource/Data
C ollection
T ool
Timing
o f
D ata
C ollection
Data
Student
O utcome
# 1
AACC
P lus
5 0
H ow
t o
M
anual | Appendix C: Tool 10