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 0.0563	Fèb pozitif 0.0317	Fèb negatif -0.0161	Fèb pozitif 0.0907	Fèb pozitif 0.0298	Fèb negatif -0.0126	Fèb negatif -0.1537
Answer 2	-	Fèb pozitif 0.0216	Fèb pozitif 0.0002	Fèb negatif -0.0458	Fèb pozitif 0.0654	Fèb pozitif 0.0445	Fèb pozitif 0.0124	Fèb negatif -0.0937
Answer 3	-	Fèb negatif -0.0035	Fèb negatif -0.0111	Fèb negatif -0.0421	Fèb negatif -0.0456	Fèb pozitif 0.0466	Fèb pozitif 0.0786	Fèb negatif -0.0201
Answer 4	-	Fèb pozitif 0.0435	Fèb pozitif 0.0353	Fèb negatif -0.0181	Fèb pozitif 0.0145	Fèb pozitif 0.0301	Fèb pozitif 0.0197	Fèb negatif -0.0979
Answer 5	-	Fèb pozitif 0.0299	Fèb pozitif 0.1279	Fèb pozitif 0.0136	Fèb pozitif 0.0730	Fèb negatif -0.0007	Fèb negatif -0.0207	Fèb negatif -0.1746
Answer 6	-	Fèb negatif -0.0004	Fèb pozitif 0.0082	Fèb negatif -0.0629	Fèb negatif -0.0078	Fèb pozitif 0.0193	Fèb pozitif 0.0830	Fèb negatif -0.0318
Answer 7	-	Fèb pozitif 0.0122	Fèb pozitif 0.0381	Fèb negatif -0.0686	Fèb negatif -0.0242	Fèb pozitif 0.0471	Fèb pozitif 0.0636	Fèb negatif -0.0513
Answer 8	-	Fèb pozitif 0.0698	Fèb pozitif 0.0849	Fèb negatif -0.0321	Fèb pozitif 0.0146	Fèb pozitif 0.0345	Fèb pozitif 0.0130	Fèb negatif -0.1368
Answer 9	-	Fèb pozitif 0.0665	Fèb pozitif 0.1674	Fèb pozitif 0.0092	Fèb pozitif 0.0691	Fèb negatif -0.0128	Fèb negatif -0.0528	Fèb negatif -0.1812
Answer 10	-	Fèb pozitif 0.0778	Fèb pozitif 0.0755	Fèb negatif -0.0180	Fèb pozitif 0.0231	Fèb pozitif 0.0346	Fèb negatif -0.0146	Fèb negatif -0.1298
Answer 11	-	Fèb pozitif 0.0584	Fèb pozitif 0.0524	Fèb negatif -0.0096	Fèb pozitif 0.0081	Fèb pozitif 0.0199	Fèb pozitif 0.0318	Fèb negatif -0.1197
Answer 12	-	Fèb pozitif 0.0380	Fèb pozitif 0.1042	Fèb negatif -0.0352	Fèb pozitif 0.0357	Fèb pozitif 0.0254	Fèb pozitif 0.0286	Fèb negatif -0.1515
Answer 13	-	Fèb pozitif 0.0644	Fèb pozitif 0.1057	Fèb negatif -0.0448	Fèb pozitif 0.0268	Fèb pozitif 0.0416	Fèb pozitif 0.0169	Fèb negatif -0.1600
Answer 14	-	Fèb pozitif 0.0717	Fèb pozitif 0.1026	Fèb negatif -0.0006	Fèb negatif -0.0089	Fèb negatif -0.0012	Fèb pozitif 0.0080	Fèb negatif -0.1168
Answer 15	-	Fèb pozitif 0.0549	Fèb pozitif 0.1375	Fèb negatif -0.0420	Fèb pozitif 0.0178	Fèb negatif -0.0160	Fèb pozitif 0.0216	Fèb negatif -0.1180
Answer 16	-	Fèb pozitif 0.0591	Fèb pozitif 0.0273	Fèb negatif -0.0386	Fèb negatif -0.0399	Fèb pozitif 0.0653	Fèb pozitif 0.0282	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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