12.01.2015 Views

RESEARCH METHOD COHEN ok

RESEARCH METHOD COHEN ok

RESEARCH METHOD COHEN ok

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

TYPES OF QUESTIONNAIRE ITEMS 331<br />

Further, if a genuinely open-ended question is<br />

being asked, it is perhaps unlikely that responses<br />

will bear such a degree of similarity to each<br />

other so as to enable them to be aggregated too<br />

tightly. Open-ended questions make it difficult<br />

for the researcher to make comparisons between<br />

respondents, as there may be little in common to<br />

compare. Moreover, to complete an open-ended<br />

questionnaire takes much longer than placing a<br />

tick in a rating scale response box; not only<br />

will time be a constraint here, but there is an<br />

assumption that respondents will be sufficiently or<br />

equally capable of articulating their thoughts and<br />

committing them to paper.<br />

In practical terms, Redline et al. (2002)report<br />

that using open-ended questions can lead to<br />

respondents overlo<strong>ok</strong>ing instructions, as they are<br />

occupied with the more demanding task of writing<br />

in their own words than reading instructions.<br />

Despite these cautions, the space provided for an<br />

open-ended response is a window of opportunity<br />

for the respondent to shed light on an issue or<br />

course. Thus, an open-ended questionnaire has<br />

much to recommend it.<br />

Matrix questions<br />

Matrix questions are not types of questions but<br />

concern the layout of questions. Matrix questions<br />

enable the same kind of response to be given to<br />

several questions, for example ‘strongly disagree’<br />

to ‘strongly agree’. The matrix layout helps to save<br />

space, for example:<br />

Please complete the following by placing a tick in<br />

one space only, as follows:<br />

1 = not at all; 2 = very little; 3 = a moderate<br />

amount; 4 = quite a lot; 5 = averygreatdeal<br />

How much do you use the following for assessment<br />

purposes<br />

1 2 3 4 5<br />

(a) commercially published tests [ ] [ ] [ ] [ ] [ ]<br />

(b) your own made-up tests [ ] [ ] [ ] [ ] [ ]<br />

(c) students’ projects [ ] [ ] [ ] [ ] [ ]<br />

(d) essays [ ] [ ] [ ] [ ] [ ]<br />

(e) samples of students’ work [ ] [ ] [ ] [ ] [ ]<br />

Here five questions have been asked in only five<br />

lines, excluding, of course, the instructions and<br />

explanations of the anchor statements. Such a<br />

layout is economical of space.<br />

A second example indicates how a matrix<br />

design can save a considerable amount of space<br />

in a questionnaire. Here the size of potential<br />

problems in conducting a piece of research is<br />

asked for, and data on how much these problems<br />

were soluble are requested. For the first issue<br />

(the size of the problem), 1 = no problem, 2 = a<br />

small problem, 3 = amoderateproblem,4= a<br />

large problem, 5 = averylargeproblem.Forthe<br />

second issue (how much the problem was solved),<br />

1 = not solved at all, 2 = solved only a very little,<br />

3 = solved a moderate amount, 4 = solved a lot,<br />

5 = completely solved (see Box 15.4).<br />

Here thirty questions (15 × 2) have been able<br />

to be covered in just a short amount of space.<br />

Laying out the questionnaire like this enables<br />

the respondent to fill in the questionnaire rapidly.<br />

On the other hand, it risks creating a mind set in<br />

the respondent (a ‘response set’: Baker 1994: 181)<br />

in that the respondent may simply go down the<br />

questionnaire columns and write the same number<br />

each time (e.g. all number 3) or, in a rating<br />

scale, tick all number 3. Such response sets can<br />

be detected by lo<strong>ok</strong>ing at patterns of replies and<br />

eliminating response sets from subsequent analysis.<br />

The conventional way of minimizing response<br />

sets has been by reversing the meaning of some<br />

of the questions so that the respondents will need<br />

to read them carefully. However, Weems et al.<br />

(2003) argue that using positively and negatively<br />

worded items within a scale is not measuring<br />

the same underlying traits. They report that<br />

some respondents will tend to disagree with<br />

a negatively worded item, that the reliability<br />

levels of negatively worded items are lower<br />

than for positively worded items, and that<br />

negatively worded items receive greater nonresponse<br />

than positively worded items. Indeed<br />

Weems et al. (2003) argue against mixed-item<br />

formats, and supplement this by reporting that<br />

inappropriately worded items can induce an<br />

artificially extreme response which, in turn,<br />

compromises the reliability of the data. Mixing<br />

Chapter 15

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!