statistical analysis of university rankings

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STATISTICAL ANALYSIS OF UNIVERSITY RATINGS Bakhrushin V.E. (2011), Osvita i Upravlinnia, № 1, P. 7 – 12. https://www.researchgate.net/publication/23272 7899_Statistical_analysis_of_University_rankin gs_(in_Ukrainian)/file/d912f50941e26e6bd3.pdf

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Presentation of the main results from the paper in "Osvita i upravlinnia" (2011, No 1, P. 7 - 12)

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Page 1: Statistical analysis of university rankings

STATISTICAL ANALYSIS OF UNIVERSITY RATINGS

Bakhrushin V.E. (2011), Osvita i Upravlinnia, № 1, P. 7 – 12.

https://www.researchgate.net/publication/232727899_Statistical_analysis_of_University_rankings_(in_Ukrainian)/file/d912f50941e26e6bd3.pdf

Page 2: Statistical analysis of university rankings

Some a priori requirements for the statistical characteristics

Satisfactory resolving power:mean value should be close to the middle of

the interval of possible values;skewness must be close to zero;standard deviation should be in limits 0.13 –

0.25 from the difference between maximum and minimum scores, depending on the number of analyzed universities:

The absence of correlation between components.

Page 3: Statistical analysis of university rankings

Empirical distribution functions (EDF) of rating overall scores

score

(R/10)

(R/10)

Page 4: Statistical analysis of university rankings

EDF calculation and properties

F(R) = n/N, where n is an sequence number of the university in the sample ordered in ascending of R; N – is the total number of universities in rating.

F(R) value is a probability that the value of the outcome rating score does not exceed R.

We can see that the functions for the different ratings are very different from each other. In particular, for Ukrainian TOP-200 Universities we have highly skewed distribution, and for Times and National rating of the Russian universities – inhomogeneous distributions.

Page 5: Statistical analysis of university rankings

Distribution models

ARWU: ( ) ( )F(R) 0,59N 29,3;3,5 0,49N 47,8;12,9= +

Times: ( ) ( )F(R) 0,601N 404;90 0,399N 678;78= +

Russian: ( ) ( )F(R) 0,62N 23,6;3,1 0,38N 50,9;5,3= +

Ukrainian TOP-200: ( )F(R) L 2,11;0,582=

N(a;b) – normal distribution; L(a;b) – lognormal distribution with parameters a and b.

Page 6: Statistical analysis of university rankings

Statistical properties of score distributions

Mean value

Asymmetry Standard deviation

(normalized)

ARWU (2004-2009) 36 – 38 1,78 – 1,95 0,17 – 0,19

Sunday Times (2007 – 2011)

49 – 52 0,33 – 0,57 0,21 – 0,22

Ukrainian TOP-200 (2007 – 2009)

8 – 18 2,7 – 4,2 0,12 – 0,14

Russian-2009 35,1 1,39 0,2

Page 7: Statistical analysis of university rankings

EDF for components of Sunday Times – 2007 rating

Page 8: Statistical analysis of university rankings

Correlation of ARWU components

For ARWU rating correlation coefficients between the components usually exceed 0.5, and in some cases may be up to 0.87.

Page 9: Statistical analysis of university rankings

Correlation of the Ukrainian TOP-200 Universities components

For the rest pairs of component also there is a significant correlation

Staff quality

Edu

catio

n qu

ality

Kharkov NU

NTU “KhPI”

National medical Univ.

T. Shevtchenko Kyiv Univ.

NTUU “KPI”

Page 10: Statistical analysis of university rankings

Correlation of the Sunday Times-2007 components

For the rest pairs of component also, as a rule, there is no significant correlation

Staff quality

Job

plac

emen

t