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Statistical Software for Students: Academic Practices &Employer ExpectationsEmployer Expectations
William C. Adams, Donna Lind Infeld, & Carli M. WulffTrachtenberg School ● George Washington University
Prepared for presentation at the Association for PublicPrepared for presentation at the Association for Public Policy & Management’s Teaching Workshop, 11/2/11.
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Statistical Software for Studentson
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ity
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AcademicAcademic EmployerEmployerPrior Prior
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on on MeritsMerits
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Statistical Software for Studentson
Uni
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ity
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PP
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Pon
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ity
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Prior Prior
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ResearchResearchon on MeritsMerits
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ool
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Only one (small) RCT
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acht
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Accuracy strong (issues with Excel)
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Usability (no systematic research)
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y ( y )
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Statistical Software for Studentson
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vers
ity
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PP
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ity
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AcademicAcademic EmployerEmployerPrior Prior
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rge
Was
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eorg
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ashi
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rge
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ashi
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on on MeritsMerits
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ool
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ool••
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52% of MPA programs (n=98)
Car
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ulff
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ulff
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acht 52% of MPA programs (n=98)
53% of MPP programs (n=16)
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Intro Budget & Finance Course
Later Budget & Finance Courses
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ype
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Software & no lab
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Sch
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40%
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Software & no lab
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Perc
ent
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98);
Software & lab
Software & no lab
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MPA MPP Oth MPA MPP OthNo class offered 9 4 2 48 6 2Class; no software 10 1 1 9 2 4
0%
PM
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dam
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dam Class; no software 10 1 1 9 2 4Software; no lab 55 6 12 30 6 10Software & lab 24 5 2 11 2 1
PA
M 2
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PA
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011
PA
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e 7)
Intro Budget & Finance Course
Later Budget & Finance Course
on U
nive
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y •
AP
on U
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y •
AP
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nive
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y •
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ype
aste
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Software & no lab
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40%
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f Ea
ch M
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n=16
Software & no lab
Software & no lab
Car
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li W
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ffC
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acht
10%
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Perc
ent
ofPA
(n=
98);
Software & lab
Software & no lab
ss, D
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ld, C
, Don
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feld
, Css,
Don
na In
feld
, C, D
onna
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ld, C
MPA MPP Oth MPA MPP OthNo class offered 9 4 2 48 6 2Class; no software 10 1 1 9 2 4
0%
PM
P
Wm
Ada
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dam
Wm
Ada
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dam Class; no software 10 1 1 9 2 4Software; no lab 55 6 12 30 6 10Software & lab 24 5 2 11 2 1
PA
M 2
011
PA
M 2
011
PA
M 2
011
PA
M 2
011
100%
Intro Budget & Finance Course
Later Budget & Finance Courses
on U
nive
rsit
y •
AP
on U
nive
rsit
y •
AP
on U
nive
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AP
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rsit
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70%
80%
90%
ers
are
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rge
Was
hing
toG
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ashi
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Geo
rge
Was
hing
toG
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ashi
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40%
50%
60%
70%
Each
Mas
tein
g So
ftw
a
Excel Excel
tenb
erg
Sch
ool
tenb
erg
Sch
ool••
GGte
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nber
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20%
30%
40%
erce
nt o
f E
rogr
am U
s
Car
li W
ulff
Car
li W
ulff
••Tra
cht
Trac
htC
arli
Wul
ffC
arli
Wul
ff••T
rach
tTr
acht
MPA MPP Oth MPA MPP OthAll th ¹ 3 1 1 3 1 1
0%
10%Pe Pr
ss, D
onna
Infe
ld, C
, Don
na In
feld
, Css,
Don
na In
feld
, C, D
onna
Infe
ld, C All other¹ 3 1 1 3 1 1
Stata only 0 0 0 0 0 0Excel only 70 10 13 32 7 12SPSS & Excel 4 0 0 5 0 0
Wm
Ada
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m A
dam
Wm
Ada
mW
m A
dam SPSS & Excel 4 0 0 5 0 0
SPSS only 2 0 0 1 0 0
¹ Note: “All other” includes other software and other combinations of software; but none exceeded 3.
PA
M 2
011
PA
M 2
011
PA
M 2
011
PA
M 2
011
100%
Intro Budget & Finance Course
Later Budget & Finance Course
on U
nive
rsit
y •
AP
on U
nive
rsit
y •
AP
on U
nive
rsit
y •
AP
on U
nive
rsit
y •
AP
70%
80%
90%
ers
are
Geo
rge
Was
hing
toG
eorg
e W
ashi
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Geo
rge
Was
hing
toG
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ashi
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40%
50%
60%
70%
Each
Mas
tein
g So
ftw
a
Excel Excel
tenb
erg
Sch
ool
tenb
erg
Sch
ool••
GGte
nber
g S
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nber
g S
choo
l••GG
20%
30%
40%
erce
nt o
f E
rogr
am U
s
Car
li W
ulff
Car
li W
ulff
••Tra
cht
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htC
arli
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ffC
arli
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ff••T
rach
tTr
acht
MPA MPP Oth MPA MPP OthAll th ¹ 3 1 1 3 1 1
0%
10%Pe Pr
ss, D
onna
Infe
ld, C
, Don
na In
feld
, Css,
Don
na In
feld
, C, D
onna
Infe
ld, C All other¹ 3 1 1 3 1 1
Stata only 0 0 0 0 0 0Excel only 70 10 13 32 7 12SPSS & Excel 4 0 0 5 0 0
Wm
Ada
mW
m A
dam
Wm
Ada
mW
m A
dam SPSS & Excel 4 0 0 5 0 0
SPSS only 2 0 0 1 0 0
¹ Note: “All other” includes other software and other combinations of software; but none exceeded 3.
PA
M 2
011
PA
M 2
011
PA
M 2
011
PA
M 2
011
100%
e 7)
IntroductoryStatistics Course
LaterStatistics Courses
on U
nive
rsit
y •
AP
on U
nive
rsit
y •
AP
on U
nive
rsit
y •
AP
on U
nive
rsit
y •
AP
80%
90%gr
am T
ype
aste
rs (
n=1
Software
No laterclass
Geo
rge
Was
hing
toG
eorg
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ashi
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Geo
rge
Was
hing
toG
eorg
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ngto
50%
60%
70%
ster
s Pr
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; O
ther
Ma
& no lab
tenb
erg
Sch
ool
tenb
erg
Sch
ool••
GGte
nber
g S
choo
lte
nber
g S
choo
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30%
40%
50%
f Ea
ch M
aM
PP (
n=16
Car
li W
ulff
Car
li W
ulff
••Tra
cht
Trac
htC
arli
Wul
ffC
arli
Wul
ff••T
rach
tTr
acht
10%
20%
Perc
ent
ofPA
(n=
98);
Software & lab Software & lab
ss, D
onna
Infe
ld, C
, Don
na In
feld
, Css,
Don
na In
feld
, C, D
onna
Infe
ld, C
MPA MPP Oth MPA MPP OthNo class offered 2 0 0 40 1 1Class; no software 3 0 1 1 1 0
0%
PM
P
Wm
Ada
mW
m A
dam
Wm
Ada
mW
m A
dam Class; no software 3 0 1 1 1 0Software; no lab 24 2 3 17 5 7Software & lab 69 14 13 40 9 9
PA
M 2
011
PA
M 2
011
PA
M 2
011
PA
M 2
011
100%
e 7)
IntroductoryStatistics Course
LaterStatistics Course
on U
nive
rsit
y •
AP
on U
nive
rsit
y •
AP
on U
nive
rsit
y •
AP
on U
nive
rsit
y •
AP
80%
90%gr
am T
ype
aste
rs (
n=1
Software
No laterclass
Geo
rge
Was
hing
toG
eorg
e W
ashi
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Geo
rge
Was
hing
toG
eorg
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ashi
ngto
50%
60%
70%
ster
s Pr
og6)
; O
ther
Ma
& no lab
tenb
erg
Sch
ool
tenb
erg
Sch
ool••
GGte
nber
g S
choo
lte
nber
g S
choo
l••GG
30%
40%
50%
f Ea
ch M
aM
PP (
n=16
Car
li W
ulff
Car
li W
ulff
••Tra
cht
Trac
htC
arli
Wul
ffC
arli
Wul
ff••T
rach
tTr
acht
10%
20%
Perc
ent
ofPA
(n=
98);
Software & lab Software & lab
ss, D
onna
Infe
ld, C
, Don
na In
feld
, Css,
Don
na In
feld
, C, D
onna
Infe
ld, C
MPA MPP Oth MPA MPP OthNo class offered 2 0 0 40 1 1Class; no software 3 0 1 1 1 0
0%
PM
P
Wm
Ada
mW
m A
dam
Wm
Ada
mW
m A
dam Class; no software 3 0 1 1 1 0Software; no lab 24 2 3 17 5 7Software & lab 69 14 13 40 9 9
PA
M 2
011
PA
M 2
011
PA
M 2
011
PA
M 2
011 Introductory Statistics Course
on U
nive
rsit
y •
AP
on U
nive
rsit
y •
AP
on U
nive
rsit
y •
AP
on U
nive
rsit
y •
AP
80%
90%
are,
re
SPSS
Geo
rge
Was
hing
toG
eorg
e W
ashi
ngto
Geo
rge
Was
hing
toG
eorg
e W
ashi
ngto
60%
70%
tical
sof
twa
fic s
oftw
ar
E l
SPSSSPSS
tenb
erg
Sch
ool
tenb
erg
Sch
ool••
GGte
nber
g S
choo
lte
nber
g S
choo
l••GG
40%
50%
sing
sta
tist
sing
spe
ci Excel
ExcelStata
Stata
Car
li W
ulff
Car
li W
ulff
••Tra
cht
Trac
htC
arli
Wul
ffC
arli
Wul
ff••T
rach
tTr
acht
20%
30%
Of
thos
e us
perc
ent
u
Excel
ss, D
onna
Infe
ld, C
, Don
na In
feld
, Css,
Don
na In
feld
, C, D
onna
Infe
ld, C
0%
10%
O
MPA P MPP P Oth P
StataSAS
Other Other Other
Wm
Ada
mW
m A
dam
Wm
Ada
mW
m A
dam MPA Programs MPP Programs Other Programs
Note: Totals for each type of Masters program sum to more than 100% because some coursesemploy more than one statistical software package; most often SPSS is coupled with Excel.
PA
M 2
011
PA
M 2
011
PA
M 2
011
PA
M 2
011 Introductory Statistics Course
on U
nive
rsit
y •
AP
on U
nive
rsit
y •
AP
on U
nive
rsit
y •
AP
on U
nive
rsit
y •
AP
80%
90%
are,
re
SPSS
Geo
rge
Was
hing
toG
eorg
e W
ashi
ngto
Geo
rge
Was
hing
toG
eorg
e W
ashi
ngto
60%
70%
tical
sof
twa
fic s
oftw
ar
E l
SPSSSPSS
tenb
erg
Sch
ool
tenb
erg
Sch
ool••
GGte
nber
g S
choo
lte
nber
g S
choo
l••GG
40%
50%
sing
sta
tist
sing
spe
ci Excel
ExcelStata
Stata
Car
li W
ulff
Car
li W
ulff
••Tra
cht
Trac
htC
arli
Wul
ffC
arli
Wul
ff••T
rach
tTr
acht
20%
30%
Of
thos
e us
perc
ent
u
Excel
ss, D
onna
Infe
ld, C
, Don
na In
feld
, Css,
Don
na In
feld
, C, D
onna
Infe
ld, C
0%
10%
O
MPA P MPP P Oth P
StataSAS
Other Other Other
Wm
Ada
mW
m A
dam
Wm
Ada
mW
m A
dam MPA Programs MPP Programs Other Programs
Note: Totals for each type of Masters program sum to more than 100% because some coursesemploy more than one statistical software package; most often SPSS is coupled with Excel.
PA
M 2
011
PA
M 2
011
PA
M 2
011
PA
M 2
011 Introductory Statistics Course
on U
nive
rsit
y •
AP
on U
nive
rsit
y •
AP
on U
nive
rsit
y •
AP
on U
nive
rsit
y •
AP
80%
90%
are,
re
SPSS
Geo
rge
Was
hing
toG
eorg
e W
ashi
ngto
Geo
rge
Was
hing
toG
eorg
e W
ashi
ngto
60%
70%
tical
sof
twa
fic s
oftw
ar
E l
SPSSSPSS
tenb
erg
Sch
ool
tenb
erg
Sch
ool••
GGte
nber
g S
choo
lte
nber
g S
choo
l••GG
40%
50%
sing
sta
tist
sing
spe
ci Excel
ExcelStata
Stata
Car
li W
ulff
Car
li W
ulff
••Tra
cht
Trac
htC
arli
Wul
ffC
arli
Wul
ff••T
rach
tTr
acht
20%
30%
Of
thos
e us
perc
ent
u
Excel
ss, D
onna
Infe
ld, C
, Don
na In
feld
, Css,
Don
na In
feld
, C, D
onna
Infe
ld, C
0%
10%
O
MPA P MPP P Oth P
StataSAS
Other Other Other
Wm
Ada
mW
m A
dam
Wm
Ada
mW
m A
dam MPA Programs MPP Programs Other Programs
Note: Totals for each type of Masters program sum to more than 100% because some coursesemploy more than one statistical software package; most often SPSS is coupled with Excel.
PA
M 2
011
PA
M 2
011
PA
M 2
011
PA
M 2
011
100%
IntroductoryStatistics Course
LaterStatistics Courses
on U
nive
rsit
y •
AP
on U
nive
rsit
y •
AP
on U
nive
rsit
y •
AP
on U
nive
rsit
y •
AP
70%
80%
90%
ers
are
Stata Only
Excel
Geo
rge
Was
hing
toG
eorg
e W
ashi
ngto
Geo
rge
Was
hing
toG
eorg
e W
ashi
ngto
40%
50%
60%
70%
Each
Mas
tein
g So
ftw
a
Stata OnlyStata Only
SPSS & Excel
tenb
erg
Sch
ool
tenb
erg
Sch
ool••
GGte
nber
g S
choo
lte
nber
g S
choo
l••GG
20%
30%
40%
erce
nt o
f E
rogr
am U
s
SPSS Only
SPSS & Excel
Car
li W
ulff
Car
li W
ulff
••Tra
cht
Trac
htC
arli
Wul
ffC
arli
Wul
ff••T
rach
tTr
acht
MPA MPP Oth MPA MPP OthAll th ¹ 6 4 4 9 4 4
0%
10%Pe Pr
SPSS OnlySPSS Only
ss, D
onna
Infe
ld, C
, Don
na In
feld
, Css,
Don
na In
feld
, C, D
onna
Infe
ld, C All other¹ 6 4 4 9 4 4
Stata only 3 4 2 10 8 4Excel only 16 0 2 6 0 1SPSS & Excel 27 1 3 10 0 2
Wm
Ada
mW
m A
dam
Wm
Ada
mW
m A
dam SPSS & Excel 27 1 3 10 0 2
SPSS only 41 7 5 22 2 5
¹ Note: “All other” includes other software (e.g., SAS, R) and other combinations of software; but none exceeded 3.
PA
M 2
011
PA
M 2
011
PA
M 2
011
PA
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PA
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PA
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PA
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PA
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PA
M 2
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PA
M 2
011 Later Statistics Course
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PA
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PA
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PA
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PA
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100%
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PA
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PA
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PA
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PA
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Perceived Trends in Software Importance
on U
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on U
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PA
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PA
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PA
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Statistical Software for Studentson
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Software Skills Requested by Employers
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Software Skills Requested by Employers
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Statistical Software for Students: Academic Practices &Employer ExpectationsEmployer Expectations
William C. Adams, Donna Lind Infeld, & Carli M. WulffTrachtenberg School ● George Washington University
Prepared for presentation at the Association for PublicPrepared for presentation at the Association for Public Policy & Management’s Teaching Workshop, 11/2/11.