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 0.0559	Fèb pozitif 0.0315	Fèb negatif -0.0170	Fèb pozitif 0.0920	Fèb pozitif 0.0294	Fèb negatif -0.0124	Fèb negatif -0.1539
Answer 2	-	Fèb pozitif 0.0229	Fèb negatif -0.0002	Fèb negatif -0.0448	Fèb pozitif 0.0636	Fèb pozitif 0.0445	Fèb pozitif 0.0134	Fèb negatif -0.0939
Answer 3	-	Fèb negatif -0.0032	Fèb negatif -0.0121	Fèb negatif -0.0416	Fèb negatif -0.0462	Fèb pozitif 0.0466	Fèb pozitif 0.0788	Fèb negatif -0.0195
Answer 4	-	Fèb pozitif 0.0438	Fèb pozitif 0.0348	Fèb negatif -0.0195	Fèb pozitif 0.0153	Fèb pozitif 0.0300	Fèb pozitif 0.0207	Fèb negatif -0.0980
Answer 5	-	Fèb pozitif 0.0304	Fèb pozitif 0.1282	Fèb pozitif 0.0135	Fèb pozitif 0.0734	Fèb negatif -0.0013	Fèb negatif -0.0200	Fèb negatif -0.1757
Answer 6	-	Fèb negatif -0.0002	Fèb pozitif 0.0082	Fèb negatif -0.0627	Fèb negatif -0.0083	Fèb pozitif 0.0193	Fèb pozitif 0.0831	Fèb negatif -0.0315
Answer 7	-	Fèb pozitif 0.0126	Fèb pozitif 0.0381	Fèb negatif -0.0687	Fèb negatif -0.0243	Fèb pozitif 0.0469	Fèb pozitif 0.0642	Fèb negatif -0.0515
Answer 8	-	Fèb pozitif 0.0698	Fèb pozitif 0.0848	Fèb negatif -0.0327	Fèb pozitif 0.0148	Fèb pozitif 0.0345	Fèb pozitif 0.0134	Fèb negatif -0.1365
Answer 9	-	Fèb pozitif 0.0668	Fèb pozitif 0.1676	Fèb pozitif 0.0083	Fèb pozitif 0.0693	Fèb negatif -0.0131	Fèb negatif -0.0516	Fèb negatif -0.1818
Answer 10	-	Fèb pozitif 0.0782	Fèb pozitif 0.0753	Fèb negatif -0.0204	Fèb pozitif 0.0247	Fèb pozitif 0.0342	Fèb negatif -0.0131	Fèb negatif -0.1304
Answer 11	-	Fèb pozitif 0.0578	Fèb pozitif 0.0532	Fèb negatif -0.0096	Fèb pozitif 0.0087	Fèb pozitif 0.0195	Fèb pozitif 0.0311	Fèb negatif -0.1196
Answer 12	-	Fèb pozitif 0.0390	Fèb pozitif 0.1037	Fèb negatif -0.0358	Fèb pozitif 0.0358	Fèb pozitif 0.0250	Fèb pozitif 0.0299	Fèb negatif -0.1520
Answer 13	-	Fèb pozitif 0.0644	Fèb pozitif 0.1048	Fèb negatif -0.0448	Fèb pozitif 0.0268	Fèb pozitif 0.0417	Fèb pozitif 0.0178	Fèb negatif -0.1600
Answer 14	-	Fèb pozitif 0.0712	Fèb pozitif 0.1021	Fèb negatif -0.0007	Fèb negatif -0.0088	Fèb negatif -0.0011	Fèb pozitif 0.0088	Fèb negatif -0.1169
Answer 15	-	Fèb pozitif 0.0557	Fèb pozitif 0.1365	Fèb negatif -0.0423	Fèb pozitif 0.0177	Fèb negatif -0.0162	Fèb pozitif 0.0224	Fèb negatif -0.1179
Answer 16	-	Fèb pozitif 0.0591	Fèb pozitif 0.0273	Fèb negatif -0.0386	Fèb negatif -0.0400	Fèb pozitif 0.0653	Fèb pozitif 0.0284	Fèb negatif -0.0708

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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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