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286 EXPERIMENTS AND META-ANALYSIS<br />

Box 13.5<br />

An ABAB design in an educational setting<br />

40<br />

Baseline<br />

Treatment<br />

full-session DRL<br />

Reversal<br />

Treatment<br />

full-session DRL<br />

35<br />

Frequency of talking aloud<br />

30<br />

25<br />

20<br />

15<br />

10<br />

5<br />

DRL<br />

limit<br />

DRL<br />

limit<br />

0<br />

5 10 15 20 25 30 35<br />

Sessions<br />

DRL, differential reinforcement of low rates<br />

Source:Kazdin1982<br />

First, researchers must identify and define<br />

the research problem as precisely as possible,<br />

always supposing that the problem is amenable<br />

to experimental methods.<br />

Second, researchers must formulate hypotheses<br />

that they wish to test. This involves making<br />

predictions about relationships between specific<br />

variables and at the same time making decisions<br />

about other variables that are to be excluded from<br />

the experiment by means of controls. Variables,<br />

remember, must have two properties. The first<br />

property is that variables must be measurable.<br />

Physical fitness, for example, is not directly<br />

measurable until it has been operationally defined.<br />

Making the variable ‘physical fitness’ operational<br />

means simply defining it by letting something<br />

else that is measurable stand for it – a gymnastics<br />

test, perhaps. The second property is that the<br />

proxy variable must be a valid indicator of the<br />

hypothetical variable in which one is interested.<br />

That is to say, a gymnastics test probably is a<br />

reasonable proxy for physical fitness; height, on<br />

the other hand, most certainly is not. Excluding<br />

variables from the experiment is inevitable, given<br />

constraints of time and money. It follows therefore<br />

that one must set up priorities among the variables<br />

in which one is interested so that the most<br />

important of them can be varied experimentally<br />

while others are held constant.<br />

Third, researchers must select appropriate levels<br />

at which to test the independent variables. By way<br />

of example, suppose an educational psychologist<br />

wishes to find out whether longer or shorter periods<br />

of reading make for reading attainment in school<br />

settings (see Simon 1978). The psychologist will<br />

hardly select five-hour and five-minute periods<br />

as appropriate levels; rather, she is more likely<br />

to choose thirty-minute and sixty-minute levels,<br />

in order to compare with the usual timetabled<br />

periods of forty-five minutes’ duration. In other<br />

words, the experimenter will vary the stimuli at<br />

such levels as are of practical interest in the reallife<br />

situation. Pursuing the example of reading<br />

attainment somewhat further, our hypothetical<br />

experimenter will be wise to vary the stimuli in<br />

large enough intervals so as to obtain measurable<br />

results. Comparing reading periods of forty-four<br />

minutes, or forty-six minutes, with timetabled<br />

reading lessons of forty-five minutes is scarcely<br />

likely to result in observable differences in<br />

attainment.<br />

Fourth, researchers must decide which kind of<br />

experiment they will adopt, perhaps from the<br />

varieties set out in this chapter.

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