University Rankings, Diversity, and the New ... - Sense Publishers
University Rankings, Diversity, and the New ... - Sense Publishers
University Rankings, Diversity, and the New ... - Sense Publishers
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UNIVERSITY RANKINGS AND LEAGUE TABLES<br />
These four elements were modified in <strong>the</strong> Usher <strong>and</strong> Savino (2006) study first,<br />
by making a clearer distinction between financial resources <strong>and</strong> staff <strong>and</strong> second by<br />
including two o<strong>the</strong>r sets of indicators, namely ‘research’ <strong>and</strong> ‘reputation’. This was<br />
an adequate encapsulation of <strong>the</strong> state of play as it was in 2006. Now in 2008,<br />
however, <strong>the</strong> field has moved on somewhat <strong>and</strong> some new categories of indicators<br />
seem to be worth discussing.<br />
The first new set of possible indicators are those related to ‘internationalization’. A<br />
number of rankings, particularly in Europe (e.g. la Repubblica <strong>and</strong> rzeczspospolita)<br />
place a significant emphasis on institutional participation in Erasmus or on<br />
membership in o<strong>the</strong>r international research or institutional arrangements. The<br />
THES also puts significant emphasis on <strong>the</strong> number of international students <strong>and</strong><br />
professors at an institution. For <strong>the</strong> most part, however, <strong>the</strong>se indicators can remain<br />
categorized as ‘beginning characteristics’ or as one of <strong>the</strong> two forms of learning<br />
inputs, <strong>and</strong> as a result we have chosen not to create a new category yet, although as<br />
ranking proliferate some re-thinking may need to be done on this score.<br />
The second new category of indicators has come about because of <strong>the</strong> increasing<br />
use of student surveys in <strong>the</strong> development of rankings. Many of <strong>the</strong> questions<br />
asked in <strong>the</strong>se surveys effectively look at satisfaction about various aspects of<br />
institutional life. Where <strong>the</strong> questions ask directly about quality of teaching, or<br />
quality of resources (e.g. computers), we have categorized <strong>the</strong>se variables as<br />
belonging to <strong>the</strong> relevant ‘learning inputs’ category. However, a number of <strong>the</strong><br />
questions are not so easily categorizable, relating as <strong>the</strong>y do to <strong>the</strong> perceived<br />
difficulty of classes, to <strong>the</strong> coherence of <strong>the</strong> material presented <strong>and</strong> <strong>the</strong> relevance<br />
of material presented to <strong>the</strong> world of work. In many ways, <strong>the</strong>se questions<br />
are influenced by <strong>the</strong> kind of research that has over <strong>the</strong> years been summarized by<br />
Pascarella <strong>and</strong> Terenzini (2005), which focus on <strong>the</strong> importance of learning environments<br />
<strong>and</strong> student engagement as determinants of good outcomes. As a result,<br />
for this chapter we have added a new category of ‘Learning Environments’.<br />
<strong>Rankings</strong> are, however, more than just a collection of indicators; instead, <strong>the</strong>y<br />
are a weighted aggregation of indicators. It is <strong>the</strong>refore important to see how <strong>the</strong>y<br />
are put toge<strong>the</strong>r <strong>and</strong> how each ranking system implicitly defines educational quality<br />
through <strong>the</strong> distribution of its weighting. Although <strong>the</strong> apparent differences<br />
between ranking systems are substantial, it turns out that <strong>the</strong>re are some real <strong>and</strong><br />
intriguing similarities among particular subsets of league tables.<br />
Table 1, below, shows <strong>the</strong> differences in <strong>the</strong> indicators <strong>and</strong> weightings used by<br />
different league table systems. Each row summarizes <strong>the</strong> distribution of indicator<br />
weightings among <strong>the</strong> seven categories of indicators described in <strong>the</strong> previous<br />
section <strong>and</strong> adds up to 100 per cent. It is obvious from even <strong>the</strong> most cursory<br />
glance at this table that no two ranking systems are alike <strong>and</strong> indeed that some have<br />
virtually no areas of overlap with one ano<strong>the</strong>r.<br />
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