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Mapping Diversity: Developing a European Classification of ... - U-Map

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4.3 Reduction <strong>of</strong> the number <strong>of</strong> dimensions<br />

In the survey 14 dimensions were distinguished. This was seen as too many by quite a number<br />

<strong>of</strong> respondents. When the higher education institutions are classifi ed on all 14 dimensions, the<br />

use <strong>of</strong> the classifi cation becomes very tedious and (for many intended users) too time consuming<br />

and confusing. It is also argued that when used as a ‘fi ltering device’ the selection <strong>of</strong> benchmark<br />

institutions based on all dimensions will very rarely result in a reasonable number <strong>of</strong> “hits” (if any).<br />

25<br />

In contrast to this ‘push’ towards a reduction <strong>of</strong> the number <strong>of</strong> dimensions there were also some<br />

comments to keep all dimensions, at least at this stage <strong>of</strong> the project. Reducing the number <strong>of</strong><br />

dimensions leads to a reduction <strong>of</strong> information, which should be avoided during the developmental<br />

stage <strong>of</strong> the classifi cation. <strong>Diversity</strong> is best captured by as many (relevant) dimensions as possible. In<br />

a later stage <strong>of</strong> the project, there will always be the option <strong>of</strong> reducing the number <strong>of</strong> dimensions.<br />

The survey scores on the perceived relevance were not used to rearrange the dimensions or to<br />

reduce the number <strong>of</strong> dimensions. ’Low’ scores on relevance are seen as an indication <strong>of</strong> diversity<br />

among the responding higher education institutions: for many <strong>of</strong> the responding institutions a<br />

particular dimension may be irrelevant, but for a (limited) number <strong>of</strong> institutions it is relevant and<br />

distinguishes them from others.<br />

There were some doubts regarding three dimensions. ‘Involvement in life long learning’ turned<br />

out to be a ‘challenging’ dimension: the validity, reliability and feasibility <strong>of</strong> the indicator, were<br />

considered to be problematic. The dimensions ‘Cultural engagement’ and ‘Regional engagement’<br />

were challenged by a number <strong>of</strong> respondents. Instead <strong>of</strong> labelling these dimensions as ‘challenged’<br />

and deleting them from the list <strong>of</strong> dimensions, the project team decided to label the dimensions as<br />

‘challenging’. The relevance <strong>of</strong> these dimensions for particular groups <strong>of</strong> institutions is the main<br />

reason for keeping the dimensions and investing in developing better indicators for these. That is<br />

why the creation <strong>of</strong> ‘communities’ in the next phase <strong>of</strong> the project was suggested. Several groups <strong>of</strong><br />

institutions (arts and music schools, universities <strong>of</strong> applied sciences) have already expressed their<br />

interest and willingness to form and join such communities. Depending on the outcomes <strong>of</strong> these<br />

communities, all dimensions will be reviewed in the next phase <strong>of</strong> the project which may possibly<br />

lead to a reduction <strong>of</strong> the number <strong>of</strong> dimensions.<br />

4.4 The adapted classification<br />

In table 3 an overview is presented <strong>of</strong> the classifi cation as it has been adapted as a result <strong>of</strong> the<br />

outcomes <strong>of</strong> the survey and comments made on the results <strong>of</strong> the survey. The table shows the draft<br />

classifi cation at the end <strong>of</strong> phase II <strong>of</strong> the project. In the fi nal phase III, further adaptations are to be<br />

expected, resulting from new stakeholders’ inputs as well as further statistical analyses.<br />

Table 3: Overview <strong>of</strong> dimensions and indicators in adapted classifi cation<br />

Dimension Indicator new and suggested indicators<br />

1: types <strong>of</strong> degrees<br />

<strong>of</strong>fered<br />

1a: highest level <strong>of</strong> degree<br />

programme <strong>of</strong>fered<br />

1b: number <strong>of</strong> qualifi cations<br />

granted in each type <strong>of</strong><br />

degree programme<br />

1c: dominant degree level: degree<br />

level in which at least 50% <strong>of</strong> the<br />

degrees were awarded. An alternative<br />

defi nition is considered: degree level in<br />

which at least 40% <strong>of</strong> the degrees were<br />

awarded<br />

MAPPING DIVERSITY

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