sborník

Mária Zvariková, Zuzana Juščáková
3.2 Comparison of Sets of Data
TPS 2
ISA-RK OTRS-VK subt. 1 subt. 2 subt. 3 Total
MALES 6.58 13.04 4.46 5.4 6.96 16.83
FEMALES 5.17 10.5 3.24 2.73 5.01 10.98
F-test 1.23 0.87 1.24 1.44 0.99 1.26
t-test 6.71* 8.90* 7.74* 13.73* 13.02* 14.36*
Tab. 3 Difference between the level of performance (arithmetical average
GS) of set of data of males and females.
* statistically relevant difference for the level α = 0.05
The difference between the compared arithmetical averages of the gross
score of all males and females is statistically relevant, it is significant (5%)
in all the tools used to measure the level of spatial imagination to the
advantage of males.
ISA- OTRS
TPS 2
RK -VK subtest 1 subtest 2 subtest 3 Total
MALES 6.58 13.04 4.46 5.4 6.96 16.83
FEMALES 5.17 10.5 3.24 2.73 5.01 10.98
r s 0,21* 0.28* 0.38* 0.25* 0.4* 0.4*
Tab 4 The measure of correlation between sex and level of performanc
* statistically relevant difference for the level α=0,05
The correlation between the performance in spatial skills tests and the
sex is statistically relevant, 5 % significant in all the tools of measurement.
It is a slight correlation, the highest measure of correlation was observed in
TPS2 (r s = 0.4).
4 Conclusion
Verifying tool validity is a never ending process. The observed differences
in performance of m ales and females support the general assumption that
males score higher in spatial skills tests. We can therefore consider the
construct validity of the experimental tool TPS2 to be confirmed (from the
aspect of analysis of individual differences in test results depending on sex).
It is important to remember that these are average differences and that
the measure of differences between subgroups is usually small in
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