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 = 0.0318

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 0.0526	Fèb pozitif 0.0260	Fèb negatif -0.0183	Fèb pozitif 0.0946	Fèb pozitif 0.0358	Fèb negatif -0.0143	Fèb negatif -0.1540
Answer 2	-	Fèb pozitif 0.0175	Fèb negatif -0.0058	Fèb negatif -0.0388	Fèb pozitif 0.0668	Fèb pozitif 0.0496	Fèb pozitif 0.0117	Fèb negatif -0.0970
Answer 3	-	Fèb negatif -0.0035	Fèb negatif -0.0091	Fèb negatif -0.0441	Fèb negatif -0.0435	Fèb pozitif 0.0478	Fèb pozitif 0.0747	Fèb negatif -0.0200
Answer 4	-	Fèb pozitif 0.0414	Fèb pozitif 0.0257	Fèb negatif -0.0232	Fèb pozitif 0.0188	Fèb pozitif 0.0356	Fèb pozitif 0.0249	Fèb negatif -0.0993
Answer 5	-	Fèb pozitif 0.0226	Fèb pozitif 0.1270	Fèb pozitif 0.0111	Fèb pozitif 0.0773	Fèb negatif -0.0008	Fèb negatif -0.0177	Fèb negatif -0.1772
Answer 6	-	Fèb negatif -0.0057	Fèb pozitif 0.0040	Fèb negatif -0.0620	Fèb negatif -0.0076	Fèb pozitif 0.0246	Fèb pozitif 0.0860	Fèb negatif -0.0351
Answer 7	-	Fèb pozitif 0.0082	Fèb pozitif 0.0329	Fèb negatif -0.0653	Fèb negatif -0.0294	Fèb pozitif 0.0519	Fèb pozitif 0.0693	Fèb negatif -0.0520
Answer 8	-	Fèb pozitif 0.0627	Fèb pozitif 0.0709	Fèb negatif -0.0265	Fèb pozitif 0.0134	Fèb pozitif 0.0376	Fèb pozitif 0.0181	Fèb negatif -0.1337
Answer 9	-	Fèb pozitif 0.0710	Fèb pozitif 0.1600	Fèb pozitif 0.0074	Fèb pozitif 0.0646	Fèb negatif -0.0109	Fèb negatif -0.0487	Fèb negatif -0.1817
Answer 10	-	Fèb pozitif 0.0739	Fèb pozitif 0.0654	Fèb negatif -0.0147	Fèb pozitif 0.0296	Fèb pozitif 0.0318	Fèb negatif -0.0126	Fèb negatif -0.1357
Answer 11	-	Fèb pozitif 0.0627	Fèb pozitif 0.0522	Fèb negatif -0.0096	Fèb pozitif 0.0108	Fèb pozitif 0.0250	Fèb pozitif 0.0244	Fèb negatif -0.1268
Answer 12	-	Fèb pozitif 0.0431	Fèb pozitif 0.0920	Fèb negatif -0.0336	Fèb pozitif 0.0339	Fèb pozitif 0.0327	Fèb pozitif 0.0254	Fèb negatif -0.1537
Answer 13	-	Fèb pozitif 0.0685	Fèb pozitif 0.0956	Fèb negatif -0.0394	Fèb pozitif 0.0308	Fèb pozitif 0.0405	Fèb pozitif 0.0148	Fèb negatif -0.1628
Answer 14	-	Fèb pozitif 0.0779	Fèb pozitif 0.0883	Fèb negatif -0.0001	Fèb negatif -0.0092	Fèb pozitif 0.0046	Fèb pozitif 0.0135	Fèb negatif -0.1225
Answer 15	-	Fèb pozitif 0.0537	Fèb pozitif 0.1267	Fèb negatif -0.0337	Fèb pozitif 0.0152	Fèb negatif -0.0175	Fèb pozitif 0.0234	Fèb negatif -0.1158
Answer 16	-	Fèb pozitif 0.0689	Fèb pozitif 0.0247	Fèb negatif -0.0371	Fèb negatif -0.0383	Fèb pozitif 0.0702	Fèb pozitif 0.0203	Fèb negatif -0.0791

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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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