x-test norm

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X-Test 1st norm (September 2010): Scores (26): 12≤raw score<14 X 14raw score<16 16raw score<18 XX 18raw score<20 XX 20raw score<22 XXX 22raw score<24 XXX 24raw score<26 XXXOO 26raw score<28 XXXXXO 28raw score<30 XO 30raw 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].

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X-Test 1st norm (September 2010):Scores (26): 12≤raw score*O ≡ second submission **The raw scores below 12 are not includedThe raw-scoresIQ 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 := r

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Page 1: X-Test norm

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].

Page 2: X-Test norm

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.

Page 3: X-Test norm

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