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 = 0.0331

Distribisyon ki pa nòmal, pa Spearman r = 0.0013

Montre rezilta sèlman > r = 0.0331

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 0.0562	Fèb pozitif 0.0311	Fèb negatif -0.0164	Fèb pozitif 0.0903	Fèb pozitif 0.0301	Fèb negatif -0.0120	Fèb negatif -0.1534
Answer 2	-	Fèb pozitif 0.0217	Fèb pozitif 0.0011	Fèb negatif -0.0455	Fèb pozitif 0.0660	Fèb pozitif 0.0440	Fèb pozitif 0.0117	Fèb negatif -0.0942
Answer 3	-	Fèb negatif -0.0034	Fèb negatif -0.0104	Fèb negatif -0.0419	Fèb negatif -0.0451	Fèb pozitif 0.0462	Fèb pozitif 0.0780	Fèb negatif -0.0204
Answer 4	-	Fèb pozitif 0.0436	Fèb pozitif 0.0362	Fèb negatif -0.0177	Fèb pozitif 0.0150	Fèb pozitif 0.0296	Fèb pozitif 0.0189	Fèb negatif -0.0984
Answer 5	-	Fèb pozitif 0.0298	Fèb pozitif 0.1270	Fèb pozitif 0.0133	Fèb pozitif 0.0724	Fèb negatif -0.0002	Fèb negatif -0.0199	Fèb negatif -0.1742
Answer 6	-	Fèb negatif -0.0003	Fèb pozitif 0.0089	Fèb negatif -0.0627	Fèb negatif -0.0074	Fèb pozitif 0.0190	Fèb pozitif 0.0825	Fèb negatif -0.0321
Answer 7	-	Fèb pozitif 0.0123	Fèb pozitif 0.0388	Fèb negatif -0.0684	Fèb negatif -0.0238	Fèb pozitif 0.0468	Fèb pozitif 0.0631	Fèb negatif -0.0517
Answer 8	-	Fèb pozitif 0.0699	Fèb pozitif 0.0857	Fèb negatif -0.0318	Fèb pozitif 0.0150	Fèb pozitif 0.0341	Fèb pozitif 0.0125	Fèb negatif -0.1372
Answer 9	-	Fèb pozitif 0.0666	Fèb pozitif 0.1681	Fèb pozitif 0.0094	Fèb pozitif 0.0694	Fèb negatif -0.0131	Fèb negatif -0.0533	Fèb negatif -0.1815
Answer 10	-	Fèb pozitif 0.0776	Fèb pozitif 0.0744	Fèb negatif -0.0185	Fèb pozitif 0.0224	Fèb pozitif 0.0352	Fèb negatif -0.0135	Fèb negatif -0.1293
Answer 11	-	Fèb pozitif 0.0585	Fèb pozitif 0.0531	Fèb negatif -0.0094	Fèb pozitif 0.0086	Fèb pozitif 0.0195	Fèb pozitif 0.0313	Fèb negatif -0.1200
Answer 12	-	Fèb pozitif 0.0378	Fèb pozitif 0.1030	Fèb negatif -0.0357	Fèb pozitif 0.0350	Fèb pozitif 0.0261	Fèb pozitif 0.0297	Fèb negatif -0.1510
Answer 13	-	Fèb pozitif 0.0642	Fèb pozitif 0.1044	Fèb negatif -0.0454	Fèb pozitif 0.0259	Fèb pozitif 0.0424	Fèb pozitif 0.0183	Fèb negatif -0.1595
Answer 14	-	Fèb pozitif 0.0718	Fèb pozitif 0.1034	Fèb negatif -0.0003	Fèb negatif -0.0085	Fèb negatif -0.0016	Fèb pozitif 0.0074	Fèb negatif -0.1172
Answer 15	-	Fèb pozitif 0.0550	Fèb pozitif 0.1382	Fèb negatif -0.0418	Fèb pozitif 0.0181	Fèb negatif -0.0163	Fèb pozitif 0.0211	Fèb negatif -0.1183
Answer 16	-	Fèb pozitif 0.0591	Fèb pozitif 0.0276	Fèb negatif -0.0384	Fèb negatif -0.0397	Fèb pozitif 0.0651	Fèb pozitif 0.0280	Fèb negatif -0.0710

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2023.11.22

Valerii Kosenko

Pwopriyetè pwodwi SaaS bèt kay pwojè sdtest®

Valerii te kalifye kòm yon pedagòg sosyal-sikològ nan 1993 e li te depi aplike konesans li nan jesyon pwojè.
Valerii te jwenn yon degre Mèt la ak Pwojè a ak Kalifikasyon Manadjè Pwogram nan 2013. Pandan pwogram Mèt li a, li te vin abitye ak Pwojè Roadmap (GPM Deutsche Gesellschaft für Projektmanagement E. V.) ak dinamik espiral.
Valerii te pran divès kalite tès dinamik espiral ak itilize konesans li ak eksperyans yo adapte vèsyon aktyèl la nan SDTest.
Valerii se otè a nan eksplore ensèten a nan V.U.C.A. Konsèp lè l sèvi avèk dinamik espiral ak estatistik matematik nan sikoloji, plis pase 20 biwo vòt entènasyonal yo.

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