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INTERNET-BASED EXPERIMENTS 239<br />

requested is higher after the experiment has already<br />

been finished’ (Frick et al. 1999:4),i.e.itisbetter<br />

to ask for personal information at the beginning.<br />

Reips (2002a) also advocates the use of ‘warmup’<br />

techniques in Internet-based research in conjunction<br />

with the ‘high hurdle’ technique (see<br />

also Frick et al. 1999). He suggests that most<br />

dropouts occur earlier rather than later in data<br />

collection, or, indeed, at the very beginning (nonparticipation)<br />

and that most such initial dropouts<br />

occur because participants are overloaded with information<br />

early on. Rather, he suggests, it is preferable<br />

to introduce some simple-to-complete items<br />

earlier on to build up an idea of how to respond<br />

to the later items and to try out practice materials.<br />

Frick et al.(1999)reportthatofferingfinancial<br />

incentives may be useful in reducing dropouts, ensuring<br />

that respondents continue an online survey<br />

to completion (up to twice as likely to ensure completion),<br />

and that they may be useful if intrinsic<br />

motivation is insufficient to guarantee completion.<br />

Internet-based experiments<br />

Agrowingfieldinpsychologicalresearchisthe<br />

use of the Internet for experiments (e.g. http://<br />

www.psych.unizh.ch/genpsy/Ulf/Lab/<br />

webExpPsyLab.html). Hewson et al. (2003) classify<br />

these into four principal types:<br />

those that present static printed materials (for<br />

example, printed text or graphics); second are those<br />

that make use of non-printed materials (for example,<br />

video or sound); third are reaction-time experiments;<br />

and fourth are experiments that involve some form<br />

of interpersonal interaction.<br />

(Hewson et al. 2003:48)<br />

The first kind of experiment is akin to a survey in<br />

that it sends formulated material to respondents<br />

(e.g. graphically presented material) by email or<br />

by web page, and the intervention will be to send<br />

different groups different materials. Here all the<br />

cautions and comments that were made about<br />

Internet-based surveys apply, particularly those<br />

problems of download times, different browsers<br />

and platforms. However, the matter of download<br />

time applies more strongly to the second type<br />

of Internet-based experiments that use video<br />

clips or sound, and some software packages will<br />

reproduce higher quality than others, even though<br />

the original that is transmitted is the same for<br />

everyone. This can be addressed by ensuring that<br />

the material runs at its optimum even on the<br />

slowest computer (Hewson et al. 2003: 49) or by<br />

stating the minimum hardware required for the<br />

experiment to be run successfully.<br />

Reaction-time experiments, those that require<br />

very precise timing (e.g. to milliseconds) are<br />

difficult in remote situations, as different platforms<br />

and Internet connection speeds and congestion<br />

on the Internet through having multiple users<br />

at busy times can render standardization virtually<br />

impossible. One solution to this is to have the<br />

experiment downloaded and then run offline<br />

before loading it back onto the computer and<br />

sending it.<br />

The fourth type involves interaction, and is<br />

akin to Internet interviewing (discussed below),<br />

facilitated by chat rooms. However, this is solely<br />

awrittenmediumandsointonation,inflection,<br />

hesitancies, non-verbal cues, extra-linguistic and<br />

paralinguistic factors are ruled out of this medium.<br />

It is, in a sense, incomplete, although the<br />

increasing availability and use of simple screentop<br />

video cameras is mitigating this. Indeed this<br />

latter development renders observational studies<br />

an increasing possibility in the Internet age.<br />

Reips (2002a) reports that in comparison to laboratory<br />

experiments, Internet-based experiments<br />

experienced greater problems of dropout, that the<br />

dropout rate in an Internet experiment was very<br />

varied (from 1 per cent to 87 per cent, and that<br />

dropout could be reduced by offering incentives,<br />

e.g. payments or lottery tickets, bringing a difference<br />

of as much as 31 per cent to dropout rates.<br />

Dropout on Internet-based research was due to<br />

arangeoffactors,forexamplemotivation,how<br />

interesting the experiment was, not least of which<br />

was the non-compulsory nature of the experiment<br />

(in contrast, for example, to the compulsory nature<br />

of experiments undertaken by university student<br />

participants as part of their degree studies). The<br />

discussion of the ‘high hurdle’ technique earlier<br />

is applicable to experiments here. Reips (2002b:<br />

Chapter 10

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