x-test norm
DESCRIPTION
X-Test 1st norm (September 2010):Scores (26): 12≤raw score*O ≡ second submission **The raw scores below 12 are not includedThe raw-scoresIQ scores conversion formula, based on 21 firsts submissions (taking only into account high IQ people – IQ 130+ s.d. 15 -), is the following:Theoretical IQ := rTRANSCRIPT
X-Test 1st norm (September 2010):
Scores (26):
12≤raw score<14 X
14≤raw score<16
16≤raw score<18 XX
18≤raw score<20 XX
20≤raw score<22 XXX
22≤raw score<24 XXX
24≤raw score<26 XXXOO
26≤raw score<28 XXXXXO
28≤raw score<30 XO
30≤raw score<32 XO
raw score≥32
*O ≡ second submission
**The raw scores below 12 are not included
The raw-scoresIQ scores conversion formula, based on 21 firsts submissions
(taking only into account high IQ people – IQ 130+ s.d. 15 -), is the following:
Theoretical IQ := raw score * 1.8602 + 99.626
Raw scores mean = 23.16
The adjusted z-scores mean (142.95) – the z-scores mean rounded down by a specific
coefficient - has been set as the mean of the test.
The adjusted PSD(X-Test)/RSD(X-Test)≈1,8602 [1].
Raw score Theoretical IQ in deviation 15
12 122
13 123.8
14 125.7
15 127.5
16 129.4
17 131.3
18 133.1
19 135
20 136.8
21 138.7
22 140.6
23 142.4
24 144.3
25 146.1
26 148
27 149.9
28 151.7
29 153.6
30 155.4
31 157.3
32 159.2
33 161
34 162.9
35 164.7
36 166.6
37 168.5
38 170.3
39 172.2
40 174
41 175.9
42 177.8
43 179.6
44 181.5
45 183.3
46 185+
The scores in blue represent values that could suffer from ceiling effects.
Correlation (r) with other well known high-range tests:
Get-y (9): 0.6419
Kvociento (6): 0.6548
CFNSE (5): 0.7784
916 test (4): 0.9394
Mysterium IV (4): 0.8429
Logima Strictica (3): 0.9759
CCAT (3): 0.6363
SLSE-I (3): 0.4514
I’ve marked the tests with 5+ pairs, because the “r” coefficient isn’t reliable under that number
(I have published the other values only for a generic discussion).
This result seems to indicate a quite strong correlation with divergent thinking
oriented tests, while it is surprising the low correlation with the numerical tests (like
the SLSE-I), even if it’s possible that this is a consequence of the very small
statistical population (only 3 testee).
Mixed items tests and g-loaded ones, show a correlation around 0.6-0.7, that could be
interpreted through the diversity between the intrinsic structure of the kind of items
inside them.
In conclusion, the X-Test is a divergent thinking logical test and not an ordinary
numerical one. The g-factor decreases with the IQ growth, so this result could be seen
as an empirical demonstration of this point of view.
References:
[1] http://www.paulcooijmans.com/intelligence/normhighrange.html
[2] http://www.iq-tests-for-the-high-range.com/statistics/explained.html
[3] http://elateneos.freehostia.com/iq.htm