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samlet årgang - Økonomisk Institut - Københavns Universitet

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WHAT AFFECTS STUDENTS’ PERFORMANCE? 371<br />

Table 5. Results of the estimation, 1 st year courses with math-variables.<br />

Variable Course Course Course Course Course Course Course<br />

111 112 114E 122E 123 131 132E<br />

Intercept term 7.88*** 1.69 8.13*** -0.07 7.82*** 6.89*** 8.24***<br />

DQ – – -2.52*** – – -3.78*** –<br />

GPA*DQ – – – – – – –<br />

MOTAVR*DQ – – 0.17*** – – 0.26*** –<br />

DSCAND*DQ – – – – – – –<br />

AGEADMIT – – – – – – –<br />

MGRADE 0.17*** 0.67*** – 0.74*** 0.15** 0.21(*) –<br />

ALEVEL<br />

Number of<br />

– – – 1.74*** – – –<br />

observations 79 71 80 52 80 69 82<br />

R2 0.08*** 0.21 *** 0.12*** 0.37*** 0.07** 0.23*** –<br />

OLD – – + + – – –<br />

Note: ** significant at the 5% level. *** significant at the 1% level.<br />

our original data set as possible. 23 It turned out that this was not an easy task: the data set<br />

we ended up with contains a reduced number of observations compared to the original<br />

data set. In addition, the data set is biased in the sense that it was easier to get the mathgrade<br />

data for Danish students than for the foreign students – in the new data set, about<br />

two thirds of the students are Danish, while only one third are foreign. 24<br />

In line with the results in Albæk (2001) and Andersen & Østergaard (2005), we decided<br />

not to combine the math characteristics with the quota-1/2 variable. The procedure<br />

of the analysis was then as follows: First, for each of the courses we run the original<br />

(small) model of table 1 and table 2 to see whether it is still valid for the now smaller<br />

data set. Next, we include both the math grade (MGRADE) and a dummy for the math<br />

level (ALEVEL = 1 if math has been taken at the A-level and 0 otherwise) as additional<br />

explanatory variables and again reduced the model when testing of sets of zero restrictions<br />

allow us to do so. The results of this procedure are found in tables 5 and 6.<br />

For the first year courses the reduction of the size of the data set means that only in<br />

two courses (114, International Business Environment and 122, Macroeconomics) were<br />

we able to obtain models with the same explanatory variables as before – for all<br />

other courses one or more of the original explanatory variables have become insignifi-<br />

23. Note that the IB’s minimum admission requirement is mathematics at high-school level B.<br />

24. Due to these problems, we have chosen to report the results of the analysis in the sensitivity section of<br />

this paper.

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