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 = 0.0353

Distribisyon ki pa nòmal, pa Spearman r = 0.0014

Montre rezilta sèlman > r = 0.0353

Distribisyon	Ki pa nòmal	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 0.0297	Fèb pozitif 0.0298	Fèb negatif -0.0106	Fèb pozitif 0.0970	Fèb pozitif 0.0325	Fèb negatif -0.0019	Fèb negatif -0.1558
Answer 2	-	Fèb pozitif 0.0188	Fèb pozitif 0.0076	Fèb negatif -0.0360	Fèb pozitif 0.0711	Fèb pozitif 0.0387	Fèb pozitif 0.0082	Fèb negatif -0.1011
Answer 3	-	Fèb pozitif 0.0026	Fèb negatif -0.0170	Fèb negatif -0.0443	Fèb negatif -0.0458	Fèb pozitif 0.0547	Fèb pozitif 0.0808	Fèb negatif -0.0270
Answer 4	-	Fèb pozitif 0.0332	Fèb pozitif 0.0285	Fèb negatif -0.0006	Fèb pozitif 0.0155	Fèb pozitif 0.0276	Fèb pozitif 0.0105	Fèb negatif -0.0917
Answer 5	-	Fèb pozitif 0.0122	Fèb pozitif 0.1193	Fèb pozitif 0.0095	Fèb pozitif 0.0721	Fèb pozitif 0.0057	Fèb negatif -0.0083	Fèb negatif -0.1687
Answer 6	-	Fèb pozitif 0.0044	Fèb pozitif 0.0005	Fèb negatif -0.0582	Fèb negatif -0.0004	Fèb pozitif 0.0210	Fèb pozitif 0.0830	Fèb negatif -0.0418
Answer 7	-	Fèb pozitif 0.0242	Fèb pozitif 0.0368	Fèb negatif -0.0521	Fèb negatif -0.0234	Fèb pozitif 0.0403	Fèb pozitif 0.0568	Fèb negatif -0.0597
Answer 8	-	Fèb pozitif 0.0707	Fèb pozitif 0.0781	Fèb negatif -0.0244	Fèb pozitif 0.0140	Fèb pozitif 0.0303	Fèb pozitif 0.0137	Fèb negatif -0.1334
Answer 9	-	Fèb pozitif 0.0564	Fèb pozitif 0.1531	Fèb pozitif 0.0127	Fèb pozitif 0.0769	Fèb negatif -0.0136	Fèb negatif -0.0495	Fèb negatif -0.1752
Answer 10	-	Fèb pozitif 0.0711	Fèb pozitif 0.0700	Fèb negatif -0.0127	Fèb pozitif 0.0246	Fèb pozitif 0.0363	Fèb negatif -0.0156	Fèb negatif -0.1273
Answer 11	-	Fèb pozitif 0.0542	Fèb pozitif 0.0488	Fèb pozitif 0.0086	Fèb pozitif 0.0078	Fèb pozitif 0.0162	Fèb pozitif 0.0315	Fèb negatif -0.1248
Answer 12	-	Fèb pozitif 0.0281	Fèb pozitif 0.0929	Fèb negatif -0.0325	Fèb pozitif 0.0361	Fèb pozitif 0.0276	Fèb pozitif 0.0365	Fèb negatif -0.1482
Answer 13	-	Fèb pozitif 0.0643	Fèb pozitif 0.0916	Fèb negatif -0.0418	Fèb pozitif 0.0237	Fèb pozitif 0.0425	Fèb pozitif 0.0239	Fèb negatif -0.1558
Answer 14	-	Fèb pozitif 0.0697	Fèb pozitif 0.1017	Fèb pozitif 0.0149	Fèb negatif -0.0062	Fèb negatif -0.0087	Fèb negatif -0.0002	Fèb negatif -0.1161
Answer 15	-	Fèb pozitif 0.0603	Fèb pozitif 0.1299	Fèb negatif -0.0379	Fèb pozitif 0.0163	Fèb negatif -0.0091	Fèb pozitif 0.0164	Fèb negatif -0.1204
Answer 16	-	Fèb pozitif 0.0691	Fèb pozitif 0.0221	Fèb negatif -0.0305	Fèb negatif -0.0515	Fèb pozitif 0.0750	Fèb pozitif 0.0187	Fèb negatif -0.0696

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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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