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TYPES OF QUESTIONNAIRE ITEMS 325<br />

Rank ordering<br />

The rank order question is akin to the multiple<br />

choice question in that it identifies options from<br />

which respondents can choose, yet it moves<br />

beyond multiple choice items in that it asks<br />

respondents to identify priorities. This enables<br />

a relative degree of preference, priority, intensity<br />

etc. to be charted (see http://www.routledge.<br />

com/textbo<strong>ok</strong>s/9780415368780 – Chapter 15, file<br />

15.6. ppt). In the rank ordering exercise a list of<br />

factors is set out and the respondent is required to<br />

place them in a rank order, for example:<br />

Please indicate your priorities by placing numbers<br />

in the boxes to indicate the ordering of your views,<br />

1 = the highest priority, 2 = the second highest, and<br />

so on.<br />

The proposed amendments to the mathematics<br />

scheme might be successful if the following factors<br />

are addressed:<br />

the appropriate material resources are in<br />

school<br />

□<br />

the amendments are made clear to all teachers □<br />

the amendments are supported by the<br />

mathematics team<br />

□<br />

the necessary staff development is assured □<br />

there are subsequent improvements to<br />

student achievement<br />

□<br />

the proposals have the agreement of all<br />

teachers<br />

□<br />

they improve student motivation □<br />

parents approve of the amendments □<br />

they will raise the achievements of the<br />

brighter students<br />

□<br />

the work becomes more geared to<br />

problem-solving<br />

□<br />

In this example ten items are listed. While this<br />

might be enticing for the researcher, enabling fine<br />

distinctions possibly to be made in priorities, it<br />

might be asking too much of the respondents to<br />

make such distinctions. They genuinely might not<br />

be able to differentiate their responses, or they<br />

simply might not feel strongly enough to make<br />

such distinctions. The inclusion of too long a<br />

list might be overwhelming. Indeed Wilson and<br />

McLean (1994: 26) suggest that it is unrealistic to<br />

ask respondents to arrange priorities where there<br />

are more than five ranks that have been requested.<br />

In the case of the list of ten points above, the<br />

researcher might approach this problem in one of<br />

two ways. The list in the questionnaire item can be<br />

reduced to five items only, in which case the range<br />

and comprehensiveness of responses that fairly<br />

catches what the respondent feels is significantly<br />

reduced. Alternatively, the list of ten items can<br />

be retained, but the request can be made to the<br />

respondents only to rank their first five priorities,<br />

in which case the range is retained and the task is<br />

not overwhelming (though the problem of sorting<br />

the data for analysis is increased).<br />

An example of a shorter list might be:<br />

Please place these in rank order of the most to<br />

the least important, by putting the position (1–5)<br />

against each of the following statements, number 1<br />

being the most important and number 5 being the<br />

least important:<br />

Students should enjoy school [ ]<br />

Teachers should set less homework [ ]<br />

Students should have more choice of subjects<br />

in school [ ]<br />

Teachers should use more collaborative methods [ ]<br />

Students should be tested more, so that they<br />

work harder [ ]<br />

Rankings are useful in indicating degrees of<br />

response. In this respect they are like rating scales,<br />

discussed below. Ranking questions are treated<br />

as ordinal data (see Part Five for a discussion of<br />

ordinal data).<br />

Rating scales<br />

One way in which degrees of response, intensity<br />

of response, and the move away from dichotomous<br />

questions have been managed can be seen in<br />

the notion of rating scales –Likertscales,semantic<br />

differential scales, Thurstone scales and Guttman<br />

scaling. These are very useful devices for the researcher,<br />

as they build in a degree of sensitivity<br />

and differentiation of response while still generating<br />

numbers. This chapter will focus on the<br />

first two of these, though readers will find the<br />

Chapter 15

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