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TRUE EXPERIMENTAL DESIGNS 275<br />

motorcycle accidents, and see which group seem to<br />

have sustained the greatest traumas. It may be that<br />

the lorry accident victims had the greatest trauma,<br />

followed by the motorcycle victims, followed by<br />

the bus victims. Now, although it is not possible<br />

to say with 100 per cent certainty what caused<br />

the trauma, one could make an intelligent guess<br />

that those involved in lorry accidents suffer the<br />

worst injuries. Here we lo<strong>ok</strong> at the outcomes and<br />

work backwards to examine possible causes. We<br />

cannot isolate, control or manipulate variables, but<br />

nevertheless we can come to some likely defensible<br />

conclusions.<br />

In the outline of research designs that follows<br />

we use symbols and conventions from Campbell<br />

and Stanley (1963):<br />

X represents the exposure of a group to an<br />

experimental variable or event, the effects of<br />

which are to be measured.<br />

O refers to the process of observation or<br />

measurement.<br />

Xs andOs inagivenrowareappliedtothe<br />

same persons.<br />

Left to right order indicates temporal sequence.<br />

Xs and Os vertical to one another are<br />

simultaneous.<br />

R indicates random assignment to separate<br />

treatment groups.<br />

Parallel rows unseparated by dashes represent<br />

comparison groups equated by randomization,<br />

while those separated by a dashed line<br />

represent groups not equated by random<br />

assignment.<br />

True experimental designs<br />

There are several variants of the ‘true’ experimental<br />

design, and we consider many of these<br />

below (see http://www.routledge.com/textbo<strong>ok</strong>s/<br />

9780415368780 – Chapter 13, file 13.2. ppt):<br />

<br />

<br />

<br />

the pretest-post-test control and experimental<br />

group design<br />

the two control groups and one experimental<br />

group pretest-post-test design<br />

the post-test control and experimental group<br />

design<br />

<br />

<br />

<br />

<br />

<br />

<br />

the post-test two experimental groups design<br />

the pretest-post-test two treatment design<br />

the matched pairs design<br />

the factorial design<br />

the parametric design<br />

repeated measures designs.<br />

The laboratory experiment typically has to identify<br />

and control a large number of variables, and<br />

this may not be possible. Further, the laboratory<br />

environment itself can have an effect on the<br />

experiment, or it may take some time for a<br />

particular intervention to manifest its effects (e.g.<br />

aparticularreadinginterventionmayhavelittle<br />

immediate effect but may have a delayed effect in<br />

promoting a liking for reading in adult life, or may<br />

have a cumulative effect over time).<br />

A ‘true’ experiment includes several key<br />

features:<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

one or more control groups<br />

one or more experimental groups<br />

random allocation to control and experimental<br />

groups<br />

pretest of the groups to ensure parity<br />

post-test of the groups to see the effects on the<br />

dependent variable<br />

one or more interventions to the experimental<br />

group(s)<br />

isolation, control and manipulation of independent<br />

variables<br />

non-contamination between the control and<br />

experimental groups.<br />

If an experiment does not possess all of these<br />

features then it is a quasi-experiment: it may lo<strong>ok</strong><br />

as if it is an experiment (‘quasi’ means ‘as if’) but<br />

it is not a true experiment, only a variant on it.<br />

An alternative to the laboratory experiment<br />

is the quasi-experiment or field experiment,<br />

including:<br />

<br />

<br />

<br />

the one-group pretest-post-test<br />

the non-equivalent control group design<br />

the time series design.<br />

We consider these below. Field experiments have<br />

less control over experimental conditions or<br />

extraneous variables than a laboratory experiment<br />

Chapter 13

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