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EXAMPLES FROM EDUCATIONAL <strong>RESEARCH</strong> 287<br />

Fifth, in planning the design of the experiment,<br />

researchers must take account of the population<br />

to which they wish to generalize their results. This<br />

involves making decisions over sample sizes and<br />

sampling methods. Sampling decisions are bound<br />

up with questions of funds, staffing and the amount<br />

of time available for experimentation.<br />

Sixth, with problems of validity in mind,<br />

researchers must select instruments, choose tests<br />

and decide upon appropriate methods of analysis.<br />

Seventh, before embarking upon the actual<br />

experiment, researchers must pilot test the<br />

experimental procedures to identify possible snags<br />

in connection with any aspect of the investigation.<br />

This is of crucial importance.<br />

Eighth, during the experiment itself, researchers<br />

must endeavour to follow tested and agreed-on<br />

procedures to the letter. The standardization of<br />

instructions, the exact timing of experimental<br />

sequences, the meticulous recording and checking<br />

of observations – these are the hallmark of the<br />

competent researcher.<br />

With their data collected, researchers face the<br />

most important part of the whole enterprise.<br />

Processing data, analysing results and drafting<br />

reports are all extremely demanding activities,<br />

both in intellectual effort and time. Often this<br />

last part of the experimental research is given<br />

too little time in the overall planning of the<br />

investigation. Experienced researchers rarely make<br />

such a mistake; computer program faults and a<br />

dozen more unanticipated disasters teach the hard<br />

lesson of leaving ample time for the analysis and<br />

interpretation of experimental findings.<br />

A ten-step model for the conduct of the<br />

experiment can be suggested (see http://www.<br />

routledge.com/textbo<strong>ok</strong>s/9780415368780 –<br />

Chapter 13, file 13.13. ppt):<br />

1 Identify the purpose ofthe experiment.<br />

2 Selectthe relevant variables.<br />

3 Specify the level(s) of the intervention (e.g.<br />

low, medium, high intervention).<br />

4 Control the experimental conditions and<br />

environment.<br />

5 Selectthe appropriate experimental design.<br />

6 Administer the pretest.<br />

7 Assign theparticipants to the group(s).<br />

8 Conduct the intervention.<br />

9 Conduct the post-test.<br />

10 Analyse the results.<br />

The sequence of steps 6 and 7 can be reversed; the<br />

intention in putting them in the present sequence<br />

is to ensure that the two groups are randomly<br />

allocated and matched. In experiments and fixed<br />

designs, data are aggregated rather than related to<br />

specific individuals, and data lo<strong>ok</strong> for averages, the<br />

range of results, and their variation. In calculating<br />

differences or similarity between groups at the<br />

stages of the pretest and the post-test, the t-test<br />

for independent samples is often used.<br />

Examples from educational research<br />

Example 1: a pre-experimental design<br />

Apre-experimentaldesignwasusedinastudy<br />

involving the 1991–92 postgraduate diploma in<br />

education group following a course of training<br />

to equip them to teach social studies in senior<br />

secondary schools in Botswana. The researcher<br />

wished to find out whether the programme of<br />

studies he had devised would effect changes in<br />

the students’ orientations towards social studies<br />

teaching. To that end, he employed a research<br />

instrument, the Barth/Shermis Studies Preference<br />

Scale (BSSPS), which has had wide use in differing<br />

cultures including the United States, Egypt and<br />

Nigeria, and whose construction meets commonly<br />

required criteria concerning validity and internal<br />

consistency reliability.<br />

The BSSPS consists of forty-five Likerttype<br />

items (Chapter 15), providing measures<br />

of what purport to be three social studies<br />

traditions or philosophical orientations, the oldest<br />

of which, Citizenship Transmission, involves<br />

indoctrination of the young in the basic values<br />

of a society. The second orientation, the Social<br />

Science, is held to relate to the acquisition of<br />

knowledge-gathering skills based on the mastery<br />

of social science concepts and processes. The<br />

third tradition, Reflective Inquiry, is said to<br />

derive from John Dewey’s pragmatism with its<br />

emphasis on the process of inquiry. Forty-eight<br />

Chapter 13

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