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Use	
  of	
  academic	
  social	
  research	
  by	
  public	
  
officials:	
  exploring	
  preferences	
  and	
  
constraints	
  that	
  impact	
  on	
  research	
  use	
  	
  
Adrian	
  Cherney	
  	
  
	
  

ARC	
  Linkage	
  project:	
  “The	
  U9lisa9on	
  of	
  Social	
  Science	
  Research	
  	
  in	
  Policy	
  
Development	
  and	
  Program	
  Review”	
  LP	
  100100380	
  	
  	
  
	
  
Other	
  team	
  members:	
  Brian	
  Head,	
  Paul	
  Boreham,	
  Michele	
  Ferguson,	
  
Jenny	
  Povey,	
  Jenny	
  Van	
  der	
  Arend	
  and	
  Jenny	
  Bell.	
  	
  	
  	
  
Where	
  is	
  the	
  evidence	
  conference	
  2013:	
  Recognising	
  the	
  value	
  of	
  grey	
  
literature	
  11th	
  November	
  2013	
  	
  
State	
  Library	
  of	
  Victoria,	
  Melbourne	
  

	
  
Presenta9on	
  outline	
  
•  Background	
  to	
  ARC	
  linkage	
  project.	
  	
  	
  
•  Preferences,	
  access,	
  accessibility	
  and	
  	
  
workplace	
  culture	
  &	
  evidence-­‐based	
  policy.	
  	
  
•  Results	
  from	
  public	
  sector	
  survey.	
  
•  Concluding	
  remarks.	
  	
  
ARC	
  Linkage	
  Partners	
  
•  Four	
  governments:	
  Federal,	
  QLD,	
  NSW,	
  VIC.	
  	
  
•  Line	
  departments	
  in	
  human	
  services	
  
(educaPon,	
  family/community	
  services,	
  
public	
  health).	
  	
  
•  Central	
  agencies	
  plus	
  ‘knowledge	
  specialist’	
  
agencies.	
  	
  
•  Nine	
  funding	
  partners	
  plus	
  another	
  12	
  
supporPng	
  agencies.	
  
Data	
  sources	
  for	
  ARC	
  Linkage	
  Project	
  
•  Targeted	
  survey	
  of	
  Australian	
  social	
  scienPsts	
  n=693	
  	
  
•  Targeted	
  survey	
  of	
  policy	
  relevant	
  personnel	
  in	
  21	
  
agencies	
  n=2084	
  
•  Interviews	
  with	
  a	
  selecPon	
  of	
  academic	
  respondents	
  
n=100	
  
•  Interviews	
  with	
  a	
  selecPon	
  of	
  policy	
  personnel	
  n=125	
  
Public	
  sector	
  agencies	
  and	
  evidence-­‐
based	
  policy	
  (EBP)	
  
•  Perceived	
  gap	
  between	
  research	
  producPon	
  and	
  
uptake	
  by	
  governments.	
  	
  
•  Understanding	
  access	
  /	
  accessibility	
  important	
  to	
  
closing	
  this	
  gap.	
  	
  
•  Preferences	
  and	
  organisaPonal	
  context	
  impacts	
  on	
  
choices	
  to	
  seek	
  out	
  and	
  access	
  research-­‐based	
  
knowledge.	
  	
  
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Figure	
  1:	
  Gender	
  and	
  current	
  posiPon	
  
50	
  %	
  
43.1	
  

45	
  %	
  
38.0	
  

40	
  %	
  
35	
  %	
  
30	
  %	
  

28.6	
  
23.6	
  

25	
  %	
  
20	
  %	
  
15	
  %	
  
10	
  %	
  
5	
  %	
  

11.2	
  
7.7	
  
3.8	
  

14.6	
  

14.4	
  

5.9	
  
5.3	
  

3.9	
  
0	
  %	
  

Senior	
  execuPve	
  

Manager	
  
Male	
  

Policy	
  officer	
  
Female	
  

Data	
  analyst	
  
Figure	
  2:	
  Level	
  of	
  educaPon	
  
45	
  %	
  
39.2	
  

40	
  %	
  
34.2	
  

35	
  %	
  
30	
  %	
  
25	
  %	
  
20	
  %	
  

16.2	
  

15	
  %	
  
10	
  %	
  

6.0	
  

5	
  %	
  

4.5	
  

0	
  %	
  

Year	
  12	
  

Advanced	
  
Bachelor	
  Degree	
  
Graduate	
  
Postgraduate	
  
Diploma/Diploma	
  
Diploma/Graduate	
  
Degree	
  
Cer9ficate	
  
Figure	
  3:	
  Years	
  in	
  the	
  public	
  service	
  

30	
  %	
  

27.1	
  

25	
  %	
  

23.6	
  
19.3	
  

20	
  %	
  

18.1	
  

15	
  %	
  
10	
  %	
  
5	
  %	
  

8.1	
  

2.5	
  

1.3	
  

0	
  %	
  

Less	
  than	
  a	
  
year	
  

1-­‐5	
  years	
  

5-­‐10	
  years	
   10-­‐20	
  years	
   20-­‐30	
  years	
   30-­‐40	
  years	
   40+	
  years	
  
Figure	
  4:	
  Level	
  of	
  importance	
  placed	
  on	
  informaPon	
  available	
  from	
  parPcular	
  
sources	
  to	
  inform	
  decision-­‐making:	
  	
  
Very	
  important/important	
  
Local	
  government	
  

37.4	
  

Think	
  Tanks	
  

48.6	
  

News	
  media	
  

52.1	
  

Private	
  consultants	
  

53.7	
  

InternaPonal	
  organisaPons	
  

56.0	
  

Interest	
  groups	
  

63.8	
  

Comparable	
  state	
  government	
  agencies	
  in	
  other	
  

63.9	
  

University	
  researchers	
  

69.6	
  

Professional	
  or	
  industry	
  associaPons	
  

71.6	
  

Other	
  state	
  government	
  agencies	
  in	
  your	
  state	
  

72.1	
  

Federal	
  government	
  agencies	
  

82.5	
  

Internal	
  agency	
  Staff	
  

93.1	
  
0	
  %	
  

10	
  %	
  

20	
  %	
  

30	
  %	
  

40	
  %	
  

50	
  %	
  

60	
  %	
  

70	
  %	
  

80	
  %	
  

90	
  %	
   100	
  %	
  
Figure	
  5:	
  In	
  the	
  last	
  12	
  months,	
  how	
  oien	
  have	
  you	
  consulted	
  with	
  each	
  source	
  
of	
  informaPon	
  listed	
  below:	
  Very	
  oien/Oien	
  
Think	
  Tanks	
  

12.0	
  

Local	
  government	
  

12.5	
  

InternaPonal	
  organisaPons	
  

17.5	
  

Private	
  consultants	
  

20.6	
  

Comparable	
  state	
  government	
  agencies	
  in	
  other	
  

22.0	
  

Interest	
  groups	
  

26.3	
  

University	
  researchers	
  

27.5	
  

News	
  media	
  

32.7	
  

Professional	
  or	
  industry	
  associaPons	
  

32.8	
  

Federal	
  government	
  agencies	
  

41.4	
  

Other	
  state	
  government	
  agencies	
  in	
  your	
  state	
  

44.2	
  

	
  Internal	
  agency	
  Staff	
  

89.5	
  
0	
  %	
  

10	
  %	
  

20	
  %	
  

30	
  %	
  

40	
  %	
  

50	
  %	
  

60	
  %	
  

70	
  %	
  

80	
  %	
  

90	
  %	
   100	
  %	
  
Figure	
  6:	
  If	
  you	
  don’t	
  access	
  bibliographical	
  databases,	
  is	
  it	
  because:	
  (n	
  =	
  868)	
  
The	
  department,	
  agency	
  or	
  unit	
  you	
  work	
  for	
  does	
  
not	
  subscribe	
  to	
  any	
  electronic	
  bibliographic	
  
databases	
  

28.1	
  

You	
  can't	
  download	
  full-­‐text	
  versions	
  of	
  academic	
  
arPcles	
  and	
  and	
  reports	
  from	
  these	
  databases	
  

32.4	
  

You	
  don’t	
  have	
  access	
  from	
  your	
  work	
  staPon	
  

35.6	
  

You	
  have	
  not	
  requested	
  access	
  because	
  such	
  a	
  
resource	
  would	
  not	
  be	
  relevant	
  to	
  your	
  role	
  

43.0	
  

You	
  don’t	
  know	
  how	
  to	
  use	
  these	
  databases	
  

45.2	
  

You	
  would	
  rather	
  consult	
  a	
  work	
  colleague	
  about	
  
sourcing	
  relevant	
  arPcles	
  or	
  reports	
  

47.5	
  

You	
  would	
  prefer	
  to	
  use	
  search	
  engines	
  on	
  the	
  web	
  
(e.g.	
  Google)	
  

68.0	
  
0	
  %	
  

10	
  %	
  

20	
  %	
  

30	
  %	
  

40	
  %	
  

50	
  %	
  

60	
  %	
  

70	
  %	
  

80	
  %	
  
What	
  might	
  be	
  driving	
  these	
  behaviours?	
  	
  
Trust	
  in	
  the	
  source?	
  	
  
Accessibility?	
  	
  
Convenience?	
  	
  
Skill	
  sets	
  of	
  individuals?	
  	
  
Few	
  partnership	
  opportuniPes	
  with	
  knowledge	
  
producers?	
  	
  
•  Access	
  to	
  infrastructure?	
  	
  
•  Nature	
  of	
  public	
  policy-­‐making?	
  	
  
•  Workplace	
  culture?	
  	
  
• 
• 
• 
• 
• 
Figure	
  7:	
  Accessing	
  and	
  using	
  research	
  evidence	
  in	
  day-­‐to-­‐day	
  duPes:	
  
Strongly	
  agree/Agree	
  
I	
  lack	
  experPse	
  in	
  how	
  to	
  apply	
  the	
  results	
  of	
  research	
  
studies	
  

11.4	
  

Staff	
  are	
  not	
  encouraged	
  to	
  use	
  research	
  evidence	
  

14.6	
  

I	
  do	
  not	
  have	
  the	
  necessary	
  skills	
  to	
  interpret	
  results	
  
from	
  staPsPcal	
  analyses	
  

15.9	
  

The	
  use	
  of	
  research	
  evidence	
  is	
  a	
  low	
  priority	
  of	
  my	
  
unit	
  

19.3	
  

I	
  lack	
  sufficient	
  decision-­‐making	
  power	
  to	
  ensure	
  
policy	
  is	
  based	
  on	
  research	
  

35.6	
  

My	
  department	
  has	
  no	
  formal	
  processes	
  to	
  translate	
  
academic	
  research	
  into	
  policy	
  

35.7	
  

There	
  is	
  limle	
  opportunity	
  to	
  build	
  relaPonships	
  with	
  
researchers	
  outside	
  the	
  public	
  service	
  

52.3	
  

There	
  is	
  not	
  enough	
  Pme	
  in	
  the	
  day	
  or	
  week	
  to	
  read	
  
relevant	
  research	
  studies	
  

55.6	
  

0	
  %	
  

10	
  %	
  

20	
  %	
  

30	
  %	
  

40	
  %	
  

50	
  %	
  

60	
  %	
  
Impact	
  of	
  organisa9onal	
  factors	
  
•  LogisPc	
  regression	
  model	
  to	
  examine	
  the	
  relaPve	
  strength	
  of	
  
various	
  organisaPonal	
  factors	
  on	
  reported	
  levels	
  of	
  research	
  
use.	
  	
  
•  Dependent	
  variable	
  measure	
  of	
  research	
  use	
  was	
  based	
  on	
  
quesPons	
  asking	
  respondents	
  whether	
  in	
  the	
  last	
  12	
  months	
  
they	
  had	
  used	
  academic	
  products	
  or	
  outputs	
  to	
  understand	
  
policies	
  and	
  programs	
  in	
  their	
  field.	
  	
  
•  This	
  measure	
  of	
  research	
  uPlisaPon	
  was	
  divided	
  into	
  a	
  
dichotomous	
  variable	
  (0	
  =	
  Don’t	
  consult	
  academic	
  research	
  
and	
  1	
  =	
  consult	
  academic	
  research).	
  	
  	
  
Figure	
  8:	
  ConsultaPon	
  of	
  academic	
  research	
  
45	
  %	
  
38.6	
  

40	
  %	
  
35	
  %	
  

38.3	
  
35.3	
  

32.9	
  

30	
  %	
  
25	
  %	
  
20	
  %	
  

17.9	
  

15	
  %	
  

16.4	
  
10.6	
  

10.0	
  

10	
  %	
  
5	
  %	
  
0	
  %	
  

In	
  the	
  last	
  12	
  months,	
  I	
  have	
  used	
  journal	
  arPcles	
   In	
  the	
  last	
  12	
  months,	
  I	
  have	
  used	
  research	
  
and	
  books	
  produced	
  by	
  academics	
  to	
  
reports	
  produced	
  by	
  academics	
  to	
  understand	
  
understand	
  policies	
  and	
  programs	
  in	
  my	
  field	
  	
  
policies	
  and	
  programs	
  in	
  my	
  field	
  	
  

Frequently	
  

Occasionally	
  

Rarely	
  

Never	
  
Independent	
  variables	
  –	
  factors	
  influencing	
  research	
  use	
  
•  Items	
  related	
  to	
  organisaPonal	
  ethos	
  and	
  culture	
  	
  
e.g.	
  there	
  is	
  not	
  enough	
  Pme	
  in	
  the	
  day	
  or	
  week	
  to	
  read	
  
relevant	
  research	
  studies;	
  the	
  use	
  of	
  research	
  evidence	
  is	
  a	
  low	
  
priority	
  of	
  my	
  unit;	
  staff	
  are	
  not	
  encouraged	
  to	
  use	
  research	
  
evidence.	
  	
  	
  
•  Judgements	
  about	
  skill	
  levels,	
  and	
  impediments	
  to	
  access	
  
(difficulty	
  in	
  accessing	
  full	
  text	
  versions	
  of	
  academic	
  reports).	
  	
  
•  EducaPonal	
  level	
  and	
  posiPon.	
  	
  
!"#$%&'(&)"*+,-.&/01"*+/23&,2&+4%&5.%&,6&"*"7%0/*&-%.%"-*4&1-,75*+.
!"#$%&'()*+"#$),-(%,($./(0'/(%1("#"2/*)#(
&/'/"&#.(+&%20#$'((

(

(

(

:(

345(67(1%&(822'(9"$)%(

;<(

=%>/&(

822'(
9"$)%(

?++/&(

@#"2/*)#(&/'/"&#.(&/'0A$'("&/(#%,')2/&/2(
&/A/B",$(CD(*D(#%AA/"-0/'(
9/'/"&#.()'()*+%&$",$(),(*D(+&%1/'')%,"A(1)/A2(

EFG4HHH(

IEFE3J(

KFGL(

MFKK(

MF4E(

EFGNHHH(

IEFE3J(

KFGG(

MFE3(

MFNG(

="#O(&/'/"&#.('O)AA'(

EFE3(

IEFELJ(

EF3N(

KFE3(

KFMG(

HH

="#O("(&/'/"&#.(#0A$0&/(

PEFQQ (

IEFKKJ(

EF4L(

EFGM(

EF3E(

R%A)#D(*"O),-(C"'/2(%,('%0,2(/B)2/,#/(

PEFE3(

IEFKEJ(

EFG4(

EF3K(

KFKK(

IEFE3J(

KF43(

KF3E(

MFMG(

HHH

S)11)#0A$D("##/''),-(10AA($/T$(

EFUN

@2B",#/2(2)+A%*"(

EFQN(

IEFQGJ(

EFUL(

KFNK(

MF3M(

V@((

EFN4(

IEFMUJ(

EF3N(

KF4G(

MFUQ(

H

IEFM3J(

KFKU(

MFEN(

QF43(

IEFMGJ(

KF4K(

MF4U(

NFQU(

W&"20"$/(2)+A%*"(

(

EFGK (

R%'$-&"20"$/(2/-&//(

EF3N

HHH

(

;/,)%&(/T/#0$)B/(

PEFKM(

IEFMGJ(

EF4M(

EFL3(

KF4M(

X","-/&(((

PEFNQHH(

IEFK4J(

EFNL(

EFU4(

EFLG(

S"$"(","AD'$(

PEFG3HHH(

IEFMKJ(

EFQE(

EFNU(

EFU3(

IEFKGJ(

EF33(

KFQL(

KF3M(

IEFGUJ(
(

EFEE(
(

EFEK(
(

EFEQ(
(

(
(

(
(

(

(

Y/'('$"11(A),O),-($%(&/'/"&#./&'(

EFQM(
PNF3LHHH(

6%,'$",$(
8C'/&B"$)%,'(

K33U(

R'/02%(9M(

PGUKFGL4(

(

(
(

NGUFM4(

=%-(A)O/A).%%2(

(

(

#.)M(I21ZMEJ(
Standard errors in parentheses

(

EFMQL(

*

p < 0.05,

**

p < 0.01,

***

p < 0.001
Conclusion:	
  Public	
  sector	
  use	
  of	
  research	
  
evidence	
  &	
  EBP	
  
•  Convenience	
  and	
  expediency	
  mamer	
  a	
  great	
  deal.	
  	
  
•  Physical	
  or	
  electronic	
  availability	
  important	
  –	
  but	
  
not	
  overwhelmingly	
  so.	
  	
  
•  Day-­‐to-­‐day	
  pressures	
  and	
  constraints	
  reinforce	
  
various	
  pamerns	
  of	
  informaPon	
  seeking.	
  	
  
•  OrganisaPonal	
  ethos	
  and	
  professional	
  culture	
  help	
  
to	
  generate	
  behaviours	
  that	
  promote	
  research	
  use.	
  	
  

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