SlideShare a Scribd company logo
Bringing people together
to power the world's research
Ekaterina (Katia) Damer, cofounder
@ekadamer | @prolificac
MISSION
Prolific aims to make
online data collection
trustworthy
and to
connect the public
with science.
2
3	
www.prolific.ac
OUR STORY
Founded in 2014
4	
Phelim Bradley
DPhil student in
Bioinformatics
Cofounder and CTO
3,000+ researchers
have collected 1.5M
complete responses
Our happy customers include:
5
6	
THE PLATFORM
JESP, 2017
CHALLENGES OF ONLINE DATA COLLECTION
& HOW PROLIFIC CAN HELP
7
Mturk: Paved way for rapid online
data collection
v Solved logistical problems (e.g.,
payments infrastructure, reputation
management)
v provided critical mass of people
Traditional approach to data
collection:
v  panel companies (expensive, slow,
not transparent, not flexible) &
v  undergraduate samples (highly
biased)
8
v In coming years, nearly half of all cognitive science
research articles will involve online samples (Stewart,
Chandler, & Paolacci, 2017)
v Online data collection is quick and low cost
v Fast iteration between developing theory and
generating evidence
v Many papers confirm that data quality is
comparable to lab studies (e.g., Crump et al., 2013;
Zwaan et al., 2017) 9	
ONLINE DATA COLLECTION IS
BOOMING
Unethical practices or: “slave labour”
v Participants get kicked out of studies
v Participants don’t hear back from researchers, lack
of regulation and mediation
v Rewards unfair (often < $2/hour)– participants’
time not valued enough.
This wouldn’t happen in lab studies!
But it is common practice on MTurk.
10	
KEY CHALLENGE #1
We are ethical and low-cost
11	
How Prolific can help
Min £5.00 per hour
for participants
30% service
charge (+VAT)
PS: We are GDPR-compliant!
We don’t kick
participants out
We help mediate
between r’s & p’s
REWARD FAIRLY & PROMPTLY
v Participants’ time is valuable and they
deserve every respect, so reward fairly
v  More broadly, a fair minimum
compensation helps maintain
a motivated, diverse, and
high quality participant pool
12	
What you as a researcher can do
MAKE YOUR STUDY FUN & ENGAGING
v Intrinsic motivation (e.g., framing
tasks as helping others) can help
improve the quality of submissions
(Rogstadius et al., 2011)
v Make sure to randomise / counter-
balance survey items à makes surveys
more interesting & good scientific
practice
13	
What you as a researcher can do
Prescreening functionality
v Limited set of screeners; eligibility unclear
v Many Turkers (up to 62%) misrepresent
demographics to access studies
(Chandler & Paolacci, 2017)
v Non-naivety
(Chandler, Mueller, & Paolacci, 2014)
v Pricey (premium screeners up to $0.50
per participant per study)
14	
KEY CHALLENGE #2
10% most
active Turkers
complete 41%
of studies
We enable flexible
prescreening
15	
Choose from 250
screeners to filter based
on 12.5 million
demographic responses
We run many tests on our
pool to vet participants
How Prolific can help
We offer a flexible
prescreening system
Screeners always decoupled
from studies à less cheating
All default screeners free of
charge, incl. non-naivety!
16	
Poor framing:
“Do you play football?”
☐	Yes
☐	No
à Too obvious
Great framing:
“Which of the following sports do
you play? (Choose up to three you
enjoy the most)”
☐	Tennis
☐	Basketball
☐	Football
☐	Volleyball
☐	...
What you as a researcher can do
FRAME QUESTIONS WISELY
Niche, diverse, and representative
samples difficult too find
v MTurk:	Mainly	US	American	par>cipants	
v 	Representa>ve	samples	not	possible	
v 	Niche	samples	hard	to	find	
v 	MTurk’s	pool	not	as	big	as	claimed:	The	average	
lab	samples	from	popula>on	of	only	7,300	Turkers	
(Stewart	et	al.,	2015)	
17	
KEY CHALLENGE #3
We have a diverse
participant pool*
*Currently
51,000+ active
participants in
OECD countries
Learn more here:
https://app.prolific.ac/demographics
How Prolific can help
Plan to launch
affordable
representative
sample feature
later this year
(stay tuned J)
TEST TEST TEST before you go live
Run pilots! Get feedback!
Cannot emphasize this enough.
Data collection is quick, which means you
might not spot a bug until it’s too late.
19	
What you as a researcher can do
USE ATTENTION CHECKS
Also called “Instructional Manipulation Checks”
(Oppenheimer, Meyvis, & Davidenko, 2009)
20	
Bad attention check: Good attention check:
“Please watch this 5-min video of a
charismatic speaker…”
“Now, please answer: Did the speaker
wear a red hat? …”
Nobody can remember every single
detail – this check is too harsh.
Embed an item into a scale, for example:
“Please tick ‘strongly agree’ …”
This is a great attention check
because it requires ‘pure
attention’ (rather than memory)
What you as a researcher can do
Take home message
We care about data quality
21	
We want to make data trustworthy
& connect the public with science
by building an online
community where
researchers &
participants trust each
other
WHERE NEXT?
v High data quality
v Best practice guide
v Representative and international
samples
v Lab experiments / clinical trials?
What do you think?
For example…22
TO SUMMARIZE
Researchers want to recruit diverse participants
quickly and ethically. Most existing platforms are
unethical, not flexible, and not diverse enough.
For example…23
HUGE THANKS TO MY TEAM
24	
[Jim	L]
Thank you for your time!
Happy to answer
any questions
www.prolific.ac
katia@prolific.ac
@ekadamer | @prolificac
Have a cuppa while getting
your research done… 26

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Recruiting participants for online studies: challenges and solutions

  • 1. Bringing people together to power the world's research Ekaterina (Katia) Damer, cofounder @ekadamer | @prolificac
  • 2. MISSION Prolific aims to make online data collection trustworthy and to connect the public with science. 2
  • 4. OUR STORY Founded in 2014 4 Phelim Bradley DPhil student in Bioinformatics Cofounder and CTO 3,000+ researchers have collected 1.5M complete responses
  • 5. Our happy customers include: 5
  • 7. CHALLENGES OF ONLINE DATA COLLECTION & HOW PROLIFIC CAN HELP 7
  • 8. Mturk: Paved way for rapid online data collection v Solved logistical problems (e.g., payments infrastructure, reputation management) v provided critical mass of people Traditional approach to data collection: v  panel companies (expensive, slow, not transparent, not flexible) & v  undergraduate samples (highly biased) 8
  • 9. v In coming years, nearly half of all cognitive science research articles will involve online samples (Stewart, Chandler, & Paolacci, 2017) v Online data collection is quick and low cost v Fast iteration between developing theory and generating evidence v Many papers confirm that data quality is comparable to lab studies (e.g., Crump et al., 2013; Zwaan et al., 2017) 9 ONLINE DATA COLLECTION IS BOOMING
  • 10. Unethical practices or: “slave labour” v Participants get kicked out of studies v Participants don’t hear back from researchers, lack of regulation and mediation v Rewards unfair (often < $2/hour)– participants’ time not valued enough. This wouldn’t happen in lab studies! But it is common practice on MTurk. 10 KEY CHALLENGE #1
  • 11. We are ethical and low-cost 11 How Prolific can help Min £5.00 per hour for participants 30% service charge (+VAT) PS: We are GDPR-compliant! We don’t kick participants out We help mediate between r’s & p’s
  • 12. REWARD FAIRLY & PROMPTLY v Participants’ time is valuable and they deserve every respect, so reward fairly v  More broadly, a fair minimum compensation helps maintain a motivated, diverse, and high quality participant pool 12 What you as a researcher can do
  • 13. MAKE YOUR STUDY FUN & ENGAGING v Intrinsic motivation (e.g., framing tasks as helping others) can help improve the quality of submissions (Rogstadius et al., 2011) v Make sure to randomise / counter- balance survey items à makes surveys more interesting & good scientific practice 13 What you as a researcher can do
  • 14. Prescreening functionality v Limited set of screeners; eligibility unclear v Many Turkers (up to 62%) misrepresent demographics to access studies (Chandler & Paolacci, 2017) v Non-naivety (Chandler, Mueller, & Paolacci, 2014) v Pricey (premium screeners up to $0.50 per participant per study) 14 KEY CHALLENGE #2 10% most active Turkers complete 41% of studies
  • 15. We enable flexible prescreening 15 Choose from 250 screeners to filter based on 12.5 million demographic responses We run many tests on our pool to vet participants How Prolific can help We offer a flexible prescreening system Screeners always decoupled from studies à less cheating All default screeners free of charge, incl. non-naivety!
  • 16. 16 Poor framing: “Do you play football?” ☐ Yes ☐ No à Too obvious Great framing: “Which of the following sports do you play? (Choose up to three you enjoy the most)” ☐ Tennis ☐ Basketball ☐ Football ☐ Volleyball ☐ ... What you as a researcher can do FRAME QUESTIONS WISELY
  • 17. Niche, diverse, and representative samples difficult too find v MTurk: Mainly US American par>cipants v  Representa>ve samples not possible v  Niche samples hard to find v  MTurk’s pool not as big as claimed: The average lab samples from popula>on of only 7,300 Turkers (Stewart et al., 2015) 17 KEY CHALLENGE #3
  • 18. We have a diverse participant pool* *Currently 51,000+ active participants in OECD countries Learn more here: https://app.prolific.ac/demographics How Prolific can help Plan to launch affordable representative sample feature later this year (stay tuned J)
  • 19. TEST TEST TEST before you go live Run pilots! Get feedback! Cannot emphasize this enough. Data collection is quick, which means you might not spot a bug until it’s too late. 19 What you as a researcher can do
  • 20. USE ATTENTION CHECKS Also called “Instructional Manipulation Checks” (Oppenheimer, Meyvis, & Davidenko, 2009) 20 Bad attention check: Good attention check: “Please watch this 5-min video of a charismatic speaker…” “Now, please answer: Did the speaker wear a red hat? …” Nobody can remember every single detail – this check is too harsh. Embed an item into a scale, for example: “Please tick ‘strongly agree’ …” This is a great attention check because it requires ‘pure attention’ (rather than memory) What you as a researcher can do
  • 21. Take home message We care about data quality 21 We want to make data trustworthy & connect the public with science by building an online community where researchers & participants trust each other
  • 22. WHERE NEXT? v High data quality v Best practice guide v Representative and international samples v Lab experiments / clinical trials? What do you think? For example…22
  • 23. TO SUMMARIZE Researchers want to recruit diverse participants quickly and ethically. Most existing platforms are unethical, not flexible, and not diverse enough. For example…23
  • 24. HUGE THANKS TO MY TEAM 24 [Jim L]
  • 25. Thank you for your time! Happy to answer any questions www.prolific.ac katia@prolific.ac @ekadamer | @prolificac
  • 26. Have a cuppa while getting your research done… 26