The Tale of the Tall Oak

Once upon a time, there was a tiny oak tree sapling named Peety. Peety dreamed of growing up into a mighty oak tree.

Each year, Peety grew a little bit taller. He stretched his branches toward the sun and felt his trunk thicken as he grew.

Over many years, Peety grew from a sapling into a young tree and finally into a tall, mature oak! He was so tall that he could see over the whole forest.

Peety noticed that the other tall oak trees had thick trunks, too. His friend Paul reached high into the sky just like Peety. Paul's trunk was thick and sturdy at the base.

The small saplings that were sprouting had skinny little trunks. But Peety knew that would change over time as they grew taller.

Peety realized that, just like him, the taller an oak tree was, the thicker its trunk became.

So even though the forest was filled with all different sizes of oak trees, Peety noticed a pattern - a correlation between tree height and trunk width. The tall trees always had thicker trunks, while the small saplings had skinny trunks. This was how pine trees grew strong enough to reach great heights!

If you record how a tree grows - its height and trunk thickness - and plot it on a picture or graph, then the correlation is when these two things change together. That is, if you see that one is increasing, the other is also increasing, and vice versa.

The SDTEST^® gives clues to someone's motivational values. However, additional polls can provide more pieces of the puzzle.

Imagine also giving a "Fears" poll. It asks people to rate different fears from 0 (not scary) to 5 (very scary).

Now imagine 100 people who took both tests. You could match up each person's SDTEST^® colors with their rated fears.

If people high in Blue values feared uncertainty more, that insight ties values to perceptions. Blue people may resist change more.

Or if Orange achievers feared failure most, that reveals their drive. They may overwork to avoid mistakes.

Comparing tests gives an expanded picture of values in action. More puzzle pieces make the whole image more apparent!

Multiple tests can work together, like colors blending on a palette. Other polls reveal what engages your values, like how your hobbies show what activities you enjoy most. Combined, they paint a richer picture of what motivates our thoughts and deeds.

Below you can read an abridged version of the results of our VUCA poll “Fears“. The full results of our VUCA poll “Fears“ are available for free in the FAQ section after login or registration.

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Charts Korelasyon

VUCA

Kritik valè de koyefisyan an korelasyon

Distribisyon nòmal, pa William Sealy Gosset (Elèv) r = 0.0318

Distribisyon ki pa nòmal, pa Spearman r = 0.0013

Montre rezilta sèlman > r = 0.0318

Distribisyon	Ki pa nòmal	Ki pa nòmal	Ki pa nòmal	Nòmal	Nòmal	Nòmal	Nòmal	Nòmal
Tout kesyon Tout kesyon Pi gran krent mwen se
Pi gran krent mwen se
Answer 1	-	Fèb pozitif 0.0551	Fèb pozitif 0.0281	Fèb negatif -0.0170	Fèb pozitif 0.0943	Fèb pozitif 0.0352	Fèb negatif -0.0160	Fèb negatif -0.1555
Answer 2	-	Fèb pozitif 0.0193	Fèb negatif -0.0049	Fèb negatif -0.0393	Fèb pozitif 0.0660	Fèb pozitif 0.0489	Fèb pozitif 0.0116	Fèb negatif -0.0980
Answer 3	-	Fèb negatif -0.0011	Fèb negatif -0.0086	Fèb negatif -0.0449	Fèb negatif -0.0440	Fèb pozitif 0.0474	Fèb pozitif 0.0740	Fèb negatif -0.0192
Answer 4	-	Fèb pozitif 0.0425	Fèb pozitif 0.0270	Fèb negatif -0.0228	Fèb pozitif 0.0186	Fèb pozitif 0.0348	Fèb pozitif 0.0236	Fèb negatif -0.0992
Answer 5	-	Fèb pozitif 0.0269	Fèb pozitif 0.1300	Fèb pozitif 0.0100	Fèb pozitif 0.0768	Fèb negatif -0.0001	Fèb negatif -0.0179	Fèb negatif -0.1787
Answer 6	-	Fèb negatif -0.0026	Fèb pozitif 0.0052	Fèb negatif -0.0623	Fèb negatif -0.0085	Fèb pozitif 0.0244	Fèb pozitif 0.0859	Fèb negatif -0.0349
Answer 7	-	Fèb pozitif 0.0104	Fèb pozitif 0.0342	Fèb negatif -0.0663	Fèb negatif -0.0308	Fèb pozitif 0.0521	Fèb pozitif 0.0690	Fèb negatif -0.0518
Answer 8	-	Fèb pozitif 0.0634	Fèb pozitif 0.0734	Fèb negatif -0.0277	Fèb pozitif 0.0139	Fèb pozitif 0.0374	Fèb pozitif 0.0176	Fèb negatif -0.1339
Answer 9	-	Fèb pozitif 0.0734	Fèb pozitif 0.1620	Fèb pozitif 0.0067	Fèb pozitif 0.0641	Fèb negatif -0.0106	Fèb negatif -0.0486	Fèb negatif -0.1812
Answer 10	-	Fèb pozitif 0.0758	Fèb pozitif 0.0683	Fèb negatif -0.0141	Fèb pozitif 0.0287	Fèb pozitif 0.0344	Fèb negatif -0.0118	Fèb negatif -0.1345
Answer 11	-	Fèb pozitif 0.0633	Fèb pozitif 0.0538	Fèb negatif -0.0093	Fèb pozitif 0.0109	Fèb pozitif 0.0242	Fèb pozitif 0.0250	Fèb negatif -0.1263
Answer 12	-	Fèb pozitif 0.0444	Fèb pozitif 0.0945	Fèb negatif -0.0343	Fèb pozitif 0.0338	Fèb pozitif 0.0338	Fèb pozitif 0.0259	Fèb negatif -0.1538
Answer 13	-	Fèb pozitif 0.0702	Fèb pozitif 0.0964	Fèb negatif -0.0395	Fèb pozitif 0.0291	Fèb pozitif 0.0415	Fèb pozitif 0.0150	Fèb negatif -0.1626
Answer 14	-	Fèb pozitif 0.0785	Fèb pozitif 0.0902	Fèb negatif -0.0021	Fèb negatif -0.0093	Fèb pozitif 0.0047	Fèb pozitif 0.0142	Fèb negatif -0.1224
Answer 15	-	Fèb pozitif 0.0540	Fèb pozitif 0.1283	Fèb negatif -0.0347	Fèb pozitif 0.0149	Fèb negatif -0.0173	Fèb pozitif 0.0240	Fèb negatif -0.1161
Answer 16	-	Fèb pozitif 0.0700	Fèb pozitif 0.0264	Fèb negatif -0.0372	Fèb negatif -0.0379	Fèb pozitif 0.0700	Fèb pozitif 0.0207	Fèb negatif -0.0790

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2023.11.22

Valerii Kosenko

Pwopriyetè pwodwi SaaS SDTEST®

Valerii te kalifye kòm yon pedagòg sosyal-sikològ an 1993 e depi li te aplike konesans li nan jesyon pwojè.
Valerii te jwenn yon diplòm Mèt ak kalifikasyon manadjè pwojè ak pwogram nan ane 2013. Pandan pwogram Mèt li a, li te vin abitye ak Pwojè Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) ak Spiral Dynamics.
Valerii se otè a nan eksplore ensètitid la nan V.U.C.A. konsèp lè l sèvi avèk dinamik espiral ak estatistik matematik nan sikoloji, ak 38 biwo vòt entènasyonal yo.

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