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.

Pè

Charts Korelasyon

VUCA

Kritik valè de koyefisyan an korelasyon

Distribisyon nòmal, pa William Sealy Gosset (Elèv) r = 0.033

Distribisyon ki pa nòmal, pa Spearman r = 0.0013

Montre rezilta sèlman > r = 0.033

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 0.0560	Fèb pozitif 0.0313	Fèb negatif -0.0164	Fèb pozitif 0.0918	Fèb pozitif 0.0295	Fèb negatif -0.0125	Fèb negatif -0.1540
Answer 2	-	Fèb pozitif 0.0230	Fèb negatif -0.0005	Fèb negatif -0.0440	Fèb pozitif 0.0632	Fèb pozitif 0.0446	Fèb pozitif 0.0132	Fèb negatif -0.0941
Answer 3	-	Fèb negatif -0.0031	Fèb negatif -0.0122	Fèb negatif -0.0412	Fèb negatif -0.0464	Fèb pozitif 0.0467	Fèb pozitif 0.0787	Fèb negatif -0.0196
Answer 4	-	Fèb pozitif 0.0438	Fèb pozitif 0.0347	Fèb negatif -0.0193	Fèb pozitif 0.0152	Fèb pozitif 0.0300	Fèb pozitif 0.0207	Fèb negatif -0.0980
Answer 5	-	Fèb pozitif 0.0304	Fèb pozitif 0.1281	Fèb pozitif 0.0137	Fèb pozitif 0.0733	Fèb negatif -0.0013	Fèb negatif -0.0200	Fèb negatif -0.1758
Answer 6	-	Fèb negatif -0.0003	Fèb pozitif 0.0082	Fèb negatif -0.0629	Fèb negatif -0.0082	Fèb pozitif 0.0193	Fèb pozitif 0.0831	Fèb negatif -0.0314
Answer 7	-	Fèb pozitif 0.0125	Fèb pozitif 0.0383	Fèb negatif -0.0692	Fèb negatif -0.0241	Fèb pozitif 0.0468	Fèb pozitif 0.0643	Fèb negatif -0.0514
Answer 8	-	Fèb pozitif 0.0697	Fèb pozitif 0.0850	Fèb negatif -0.0332	Fèb pozitif 0.0150	Fèb pozitif 0.0344	Fèb pozitif 0.0135	Fèb negatif -0.1364
Answer 9	-	Fèb pozitif 0.0668	Fèb pozitif 0.1677	Fèb pozitif 0.0079	Fèb pozitif 0.0695	Fèb negatif -0.0132	Fèb negatif -0.0516	Fèb negatif -0.1816
Answer 10	-	Fèb pozitif 0.0781	Fèb pozitif 0.0755	Fèb negatif -0.0209	Fèb pozitif 0.0249	Fèb pozitif 0.0341	Fèb negatif -0.0130	Fèb negatif -0.1302
Answer 11	-	Fèb pozitif 0.0580	Fèb pozitif 0.0529	Fèb negatif -0.0088	Fèb pozitif 0.0083	Fèb pozitif 0.0196	Fèb pozitif 0.0309	Fèb negatif -0.1197
Answer 12	-	Fèb pozitif 0.0390	Fèb pozitif 0.1038	Fèb negatif -0.0360	Fèb pozitif 0.0359	Fèb pozitif 0.0250	Fèb pozitif 0.0299	Fèb negatif -0.1520
Answer 13	-	Fèb pozitif 0.0646	Fèb pozitif 0.1042	Fèb negatif -0.0436	Fèb pozitif 0.0263	Fèb pozitif 0.0418	Fèb pozitif 0.0175	Fèb negatif -0.1602
Answer 14	-	Fèb pozitif 0.0711	Fèb pozitif 0.1023	Fèb negatif -0.0012	Fèb negatif -0.0085	Fèb negatif -0.0012	Fèb pozitif 0.0089	Fèb negatif -0.1168
Answer 15	-	Fèb pozitif 0.0556	Fèb pozitif 0.1366	Fèb negatif -0.0427	Fèb pozitif 0.0179	Fèb negatif -0.0163	Fèb pozitif 0.0224	Fèb negatif -0.1177
Answer 16	-	Fèb pozitif 0.0591	Fèb pozitif 0.0272	Fèb negatif -0.0382	Fèb negatif -0.0401	Fèb pozitif 0.0653	Fèb pozitif 0.0283	Fèb negatif -0.0709

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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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