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 = 0.0351

Distribisyon ki pa nòmal, pa Spearman r = 0.0014

Montre rezilta sèlman > r = 0.0351

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 0.0461	Fèb pozitif 0.0236	Fèb negatif -0.0125	Fèb pozitif 0.0836	Fèb pozitif 0.0389	Fèb negatif -0.0164	Fèb negatif -0.1442
Answer 2	-	Fèb pozitif 0.0249	Fèb negatif -0.0009	Fèb negatif -0.0357	Fèb pozitif 0.0631	Fèb pozitif 0.0443	Fèb negatif -0.0033	Fèb negatif -0.0878
Answer 3	-	Fèb pozitif 0.0016	Fèb negatif -0.0229	Fèb negatif -0.0385	Fèb negatif -0.0551	Fèb pozitif 0.0501	Fèb pozitif 0.0752	Fèb negatif -0.0099
Answer 4	-	Fèb pozitif 0.0420	Fèb pozitif 0.0217	Fèb negatif -0.0070	Fèb pozitif 0.0088	Fèb pozitif 0.0372	Fèb pozitif 0.0060	Fèb negatif -0.0871
Answer 5	-	Fèb pozitif 0.0139	Fèb pozitif 0.1156	Fèb pozitif 0.0124	Fèb pozitif 0.0634	Fèb pozitif 0.0039	Fèb negatif -0.0102	Fèb negatif -0.1617
Answer 6	-	Fèb pozitif 0.0052	Fèb negatif -0.0027	Fèb negatif -0.0568	Fèb negatif -0.0124	Fèb pozitif 0.0188	Fèb pozitif 0.0800	Fèb negatif -0.0274
Answer 7	-	Fèb pozitif 0.0193	Fèb pozitif 0.0358	Fèb negatif -0.0557	Fèb negatif -0.0319	Fèb pozitif 0.0418	Fèb pozitif 0.0577	Fèb negatif -0.0480
Answer 8	-	Fèb pozitif 0.0710	Fèb pozitif 0.0714	Fèb negatif -0.0267	Fèb pozitif 0.0111	Fèb pozitif 0.0336	Fèb pozitif 0.0121	Fèb negatif -0.1289
Answer 9	-	Fèb pozitif 0.0632	Fèb pozitif 0.1517	Fèb pozitif 0.0082	Fèb pozitif 0.0720	Fèb negatif -0.0089	Fèb negatif -0.0561	Fèb negatif -0.1740
Answer 10	-	Fèb pozitif 0.0804	Fèb pozitif 0.0652	Fèb negatif -0.0188	Fèb pozitif 0.0203	Fèb pozitif 0.0372	Fèb negatif -0.0198	Fèb negatif -0.1272
Answer 11	-	Fèb pozitif 0.0569	Fèb pozitif 0.0447	Fèb pozitif 0.0043	Fèb negatif -0.0009	Fèb pozitif 0.0218	Fèb pozitif 0.0273	Fèb negatif -0.1182
Answer 12	-	Fèb pozitif 0.0317	Fèb pozitif 0.0972	Fèb negatif -0.0339	Fèb pozitif 0.0312	Fèb pozitif 0.0292	Fèb pozitif 0.0315	Fèb negatif -0.1479
Answer 13	-	Fèb pozitif 0.0623	Fèb pozitif 0.1013	Fèb negatif -0.0425	Fèb pozitif 0.0208	Fèb pozitif 0.0449	Fèb pozitif 0.0170	Fèb negatif -0.1564
Answer 14	-	Fèb pozitif 0.0722	Fèb pozitif 0.1047	Fèb pozitif 0.0111	Fèb negatif -0.0089	Fèb negatif -0.0091	Fèb negatif -0.0043	Fèb negatif -0.1121
Answer 15	-	Fèb pozitif 0.0576	Fèb pozitif 0.1256	Fèb negatif -0.0376	Fèb pozitif 0.0141	Fèb negatif -0.0090	Fèb pozitif 0.0134	Fèb negatif -0.1123
Answer 16	-	Fèb pozitif 0.0590	Fèb pozitif 0.0162	Fèb negatif -0.0332	Fèb negatif -0.0501	Fèb pozitif 0.0759	Fèb pozitif 0.0233	Fèb negatif -0.0671

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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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