Content uploaded by Ulf-Dietrich Reips
Author content
All content in this area was uploaded by Ulf-Dietrich Reips
Content may be subject to copyright.
Financial incentives, personal information and drop-
out rate in online studies
A. Frick1, M. T. Bächtiger & U.-D. Reips
Whereas in a classical laboratory setting participants often feel compelled to stay and
finish the experiment, participants in online studies can leave the session at any time.
Though, from an ethical point of view this is an advantage of online studies, it
might pose methodological problems. Of course, web experimenters would like their
participants to stay until the end of the experiment. To ensure this they use special
techniques.
One such technique is to make web pages shorter and more attractive the further
the participant gets. If a web page has a long loading time at the beginning
participants with small interest or little time leave right away without even starting
the experiment. This “high hurdle technique” is particularly effective in combination
with a warm-up phase (Reips, 1996, 1999).
A second frequently used technique to prevent participants from leaving is to
initially announce a lottery with prizes, in which only those who finish the
experiment can take part. Whether or not this procedure is a successful method to
reduce the drop-out rate has never been examined experimentally. One might argue
that promising financial incentives is negligible in reducing drop-out or might even
reduce the intrinsic motivation of the potential participant (Deci, 1975).
A survey among 21 web experimenters recently conducted by Musch and Reips
(in press) suggests that this is not the case. In contrast to the expectation of a purely
intrinsic motivation to participate in online studies they found a clear link between
lack of financial incentives and drop-out rate. A monetary prize might diminish drop-
out tendency whenever intrinsically motivating factors are not sufficient. The web
experiment at hand has been conducted to further investigate the causal nature of the
relationship between financial incentives and drop-out.
The experiment was also designed to test the hypothesis that asking participants
for personal information early in the experiment would lead to increased drop-out as
well as different answering behavior in questions that are likely to be influenced by
social desirability. Participants’ answers might be more strongly influenced by social
norms, if they believe they could be identified (e. g., by their e-mail address). Or they
might discontinue participation in the experiment if they realize that their behavior
would force them to answer contrary to what is usually desired or accepted. The
question whether personal or demographic data should be assessed at the beginning
1Andrea Frick; a.frick@access.unizh.ch;
Universität Zürich, Allgemeine und Entwicklungspsychologie, Attenhoferstr. 9, CH-8032 Zürich,
of an experiment is of high relevance in online research, if the perceived anonymity
would affect the participants’ answers.
Design
The experiment was conducted in the Web Experimental Psychology Lab at Zürich
University2. At the lab, and again on the first page of the experiment, the participants
had the option to choose between a German and a comparable English version.
On the first page of our experiment the participant was informed that all collected
data would be used for scientific purpose only, that all the information would be
treated confidential, and that the results of the study would be published on the
WWW.
A Common Gateway Interface program (CGI) randomly assigned the participants
to one of two versions of the first page. One of the two groups received additional
information about a lottery in which those participant who answered all questions
could take part and win either 40$, 25$, or 15$.
From these starting pages, another randomizing CGI would lead the participants
to one of the four experimental conditions. In each of these four conditions three
forms where presented in a different order (see Figure 1).
One form assessed personal information (PI) like gender, age, e-mail address or
telephone number, and nationality. In two of the four conditions this personal
information was assessed at the beginning of the experiment, and in two conditions it
was assessed at the end.
Figure 1: Experimental conditions.
The remaining two forms (TV and CO) contained two questions that are likely to be
influenced by social desirability: “How many hours per week do you watch
television?” (TV); “How many hours per week would you work free of charge for a
charitable organization?” (CO). The order of these two questions was manipulated.
The independent variables were:
• information about the lottery: provided or not provided
• personal information (PI): assessed at the beginning or at the end
• order of presentation of TV and CO
• the language of the completed version: German or English
German version
TV
TV
CO
CO
PIPI
TV
TV
PI
CO
CO
PI TV
TV
CO
CO
PIPI
TV
TV
PI
CO
CO
PI
No Lottery
Lottery
T
C
P
English version
T
T
C
C
P
P
T
T
P
C
C
P
T
T
C
C
P
P
T
P
C
No
Lotte
The dependent variables were:
• the answers to the two questions concerning television (TV) and charitable
organization (CO) and
• number of participants leaving the experiment before finishing it completely
(drop-out rate)
Participants
804 visits from unique IPs were reported on the first page of the experiment, 482 in
the English version, and 322 in the German version. 61.4% of responders to
demographic questions (n=686) reported they were female, 33.8% reported they
were male, 4.8% did not report their gender. 3.2% did not report their age. Figure 2
shows the indicated age of the remaining 96.8%.
Age
0
10
20
30
40
50
60
70
80
90
100
<10
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
>69
Age groups
Reports in %
Figure 2: Reported age.
8.9% of those participants who did request the page with demographic questions did
not report their nationality. The most frequently indicated nationalities (reported by 4
or more participants) were as follows:
Table 1:
Nation Reports Nation Reports
USA (american) 275 Australia / New Zealand 8
Germany 173 India 7
Switzerland 29 “hispanic” 6
Canada 24 Netherlands 5
“white” 18 Africa 5
England 13 China 5
Austria 9 Italy 4
Ireland 9 Korea 4
“caucasian” 9 “black” 4
Results
Incentives
Data supported the hypothesis that announcing a lottery at the beginning of a study
results in a reduced drop-out rate. As in the Musch and Reips study, drop-out was
found to be about twice as large in the non-lottery information condition than in the
lottery information condition (18.5% versus 9.5%). This differing drop in number of
participants was not immediately after the first page (with the lottery information)
but rather distributed over the whole length of the experiment. This suggests that the
lottery information does not result in additional motivation to start with the
experiment, but diminishes drop-out tendency caused by other factors.
The overall drop-out was relatively low, supporting the notion that with the proper
design even in online studies without financial incentives, drop-out rates should not
pose much of a methodological problem.
We conducted a 2 (lottery) x 2 (PI) x 2 (order) x 2 (language) ANOVA with the
data. Except for an unexpected three-way interaction between lottery, PI, and order,
none of the interactions were significant. Incentives did not significantly affect the
answers to the two questions concerning television (TV) and charitable organization
(CO).
Main effects for other factors than incentives will be reported in the sections
below.
Personal Information
Asking participants for personal information (PI) early in the experiment did not
increase drop-out. Surprisingly, drop-out within the condition with PI at the
beginning was even less (10.3% versus 17.5%). Apparently, the tendency of leaving
the experiment when PI is requested is higher after the experiment has already been
finished.
Asking participants for personal information early in the experiment did not lead
to different answering behavior in the questions about television and charitable
organization.
A detailed analysis was conducted to see how many questions were not answered
by those who did request the page with questions about demographic data. The
results showed that, on average, the group with PI at the beginning did not answer to
4.2% of the demographic questions, whereas the group with PI at the end left 11.8%
of the demographic questions unanswered. E. g., when the e-mail address was
requested at the beginning, 9.5% (33 out of 349) did not give that information,
whereas 20.5% (69 out of 337) did not give their e-mail address when it was
requested at the end of the experiment. (The corresponding figures for the other
demographic questions were: gender: 2.1% (7) to 7.7% (26), age: 0.6% (2) to 5.9%
(20), nation: 4.9% (17) to 13.0% (44).)
Effect of financial incentive information and location of
demographic questionnaire on drop-out
5.
7
14.
9
13.
2
21.
9
0.0
5.0
10.0
15.0
20.0
25.0
Lottery
information No lottery
information
Drop-out in percent
PI at beginning
PI at end
Figure 3: Effect of financial incentive information and location of demographic questionnaire
on drop-out.
Order
The order of the two questions (TV/CO vs. CO/TV) had a significant effect on the
answers to the TV question F (1, 664) = 5.00, p < .05. Those participants who
answered the question about their weekly television consumption first, reported to
watch more television (M = 679 minutes per week, SD = 31.2) than those who
answered the question about the charitable organization first (M = 580 minutes per
week, SD = 31.5).
Effect of order on TV- and CO-time reports
0
100
200
300
400
500
600
700
800
TV / CO-->TV TV / TV-->CO CO / CO-->TV Co / TV-->CO
Question / Order
Minutes
Figure 4: Effect of order on answers to TV- and CO-questions.
Language
There was also a significant effect of language on the answers about the charitable
organization, F (1, 664) = 22.78, p < .05. Those participants who completed the
German version showed less readiness to work free of charge for a charitable
organization (M = 203 minutes per week, SD = 15,1) than those who completed the
English version (M = 321 minutes per week, SD = 19,6).
Effect of language on TV- and CO-time reports
0
100
200
300
400
500
600
700
TV / English TV / German CO / English CO / German
Question / Language
Minutes
Figure 5: Effect of language on answers to TV- and CO-questions.
Language had another significant effect on the drop-out rate. Drop-out in the
English version was less than in the German version (20.4% versus 9.7%).
Effect of financial incentive information and language
on drop-out
6.
2
14.
7
13.
4
25.
9
0.0
5.0
10.0
15.0
20.0
25.0
30.0
English German
Drop-out in percent
Lottery informatio
n
No lottery informat
Figure 6: Effect of financial incentive information and language of completed version on
drop-out.
Discussion
Incentives
The fact that the presence of incentives did affect the number of participants leaving
the experiment before finishing it but not the answers about TV and CO shows that
this procedure might be a very promising means to reduce general drop-out in online
studies. Other factors potentially influencing drop-out in online studies are: the
design of the web pages, loading time, and impression of the institution conducting
the online study. These factors should also be studied experimentally.
Personal Information
The results suggest that whether demographic data or personal information is
requested at the beginning or at the end of an experiment does not seem to
systematically influence data. This result is quite pleasing because, if demographic
data is indispensable for a study, it may be better to put the request at the beginning.
As our results have shown, chances are much higher for participants not to provide
that information if it is assessed at the end of the experiment.
Order
A possible explanation for the order effect in the results of the two answers (TV and
CO) would be that those who answered the TV question first rated their consumption
more appropriately. Participants who answered the CO question first probably
reported a rather small value first, and then adjusted their rating in the TV question.
This supports the assumption that the answers to this questions are influenced by
social desirability.
Language
The significant difference between the German and the English version might imply
that, on average, in English speaking societies people show a higher devotion to
social volunteer work while in German speaking societies the social welfare system
is more professionally organized.
Of course, an alternative explanation would be a slight difference in the meaning
of German and English terms. ‘Charitable organization’ in both languages is not a
clearly defined term – and even within one language or culture people might interpret
it differently.
Conclusions
This experiment has shown that (1) financial incentives can reduce drop-out; (2)
assessing participants’ personal information at the beginning of an experiment can
reduce drop-out and may lead to more complete demographic data about the
participants; (3) these positive effects can be reached without biasing the data; (4) the
order and language of presentation of items can play a significant role.
References
Deci, E. L. (1975). Intrinsic Motivation. New York, NY: Plenum Press.
Musch, J., & Reips, U.-D. (in press). The Brief History of Web Experimenting: A
Survey. In M. H. Birnbaum (Ed.), Psychology Experiments on the Internet. San
Diego, CA: Academic Press.
Reips, U.-D. (1996, October). Experimenting in the World Wide Web. Paper
presented at the 1996 Society for Computers in Psychology conference,
Chicago.
Reips, U.-D. (1999). Theorie und Techniken des Web-Experimentierens [Theory and
techniques of web experimenting]. In B. Batinic, A. Werner, L. Gräf, & W.
Bandilla (Eds.): Online Research: Methoden, Anwendungen und Ergebnisse.
Göttingen: Hogrefe.
Reips, U.-D. (in press). The Web Experiment Method: Advantages, Disadvantages,
and Solutions. In M. H. Birnbaum (Ed.), Psychology Experiments on the
Internet. San Diego, CA: Academic Press.