
Originally Posted by
storckTL87
These posts are quite funny! SHL make use of Sten Scores (standard ten scores)..
From my research experience with SHL, I understand that they report scores in "percentiles", that is, how you performed when compared to other candidates. Every firm will have their own "cut-off" percentile that candidates will need to achieve for each aptitude test. I will assume that for a big firm like Shell, this could be anything between 60th - 70th percentile.
Obviously they will need to arrive at a raw score first prior to calculating the Sten score and then ranking candidates in percentiles. These raw scores are based on "norms". The norms are used to compare the candidates results to specifically selected standards. A norm group is a group of similar others, this could be for example Technical Graduates or Engineering Graduates or Chemical Engineering Graduates, whatever rocks Shells boat I guess.
From this, standard deviations and means of different norm groups are calculated, and used to work out the candidates standard score (Z-score) - In simple terms, a standard score Z is a function of a raw score X. Once the standard score has been calculated, the STEN SCORE can then be worked out. Usually, a sten of 6 to 7 is average, atleast 5 in 30 people might end up with a sten of 6 or 7.
As an example, if 2.3% of students had a Sten Score of 10 (out of 10) - these candidates are in the 97.7th percentile (perform better than 97.7% of the group). There are standardised charts for this conversion.
For More Information on Sten Scores:
The Sten (standard ten) is a standard score system commonly used with personality questionnaires. Stens divide the score scale into ten units. Each unit has a band width of half a standard deviation except the highest unit (Sten 10) which extends from 2 standard deviations above the mean, and the lowest unit (Sten 1) which extends from 2 standard deviations below the mean. Sten scores can be calculated from Z-scores using the formula: Sten = (Zx2) + 5.5. Stens have the advantage that they enable results to be thought of in terms of bands of scores, rather than absolute scores. These bands are narrow enough to distinguish statistically significant differences between candidates, but wide enough not to over emphasize minor differences between candidates.