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 0.0464	Fèb pozitif 0.0234	Fèb negatif -0.0126	Fèb pozitif 0.0826	Fèb pozitif 0.0392	Fèb negatif -0.0165	Fèb negatif -0.1434
Answer 2	-	Fèb pozitif 0.0258	Fèb negatif -0.0004	Fèb negatif -0.0352	Fèb pozitif 0.0627	Fèb pozitif 0.0443	Fèb negatif -0.0045	Fèb negatif -0.0877
Answer 3	-	Fèb pozitif 0.0024	Fèb negatif -0.0224	Fèb negatif -0.0381	Fèb negatif -0.0553	Fèb pozitif 0.0501	Fèb pozitif 0.0741	Fèb negatif -0.0099
Answer 4	-	Fèb pozitif 0.0417	Fèb pozitif 0.0209	Fèb negatif -0.0074	Fèb pozitif 0.0079	Fèb pozitif 0.0376	Fèb pozitif 0.0067	Fèb negatif -0.0860
Answer 5	-	Fèb pozitif 0.0136	Fèb pozitif 0.1148	Fèb pozitif 0.0120	Fèb pozitif 0.0624	Fèb pozitif 0.0043	Fèb negatif -0.0094	Fèb negatif -0.1606
Answer 6	-	Fèb pozitif 0.0050	Fèb negatif -0.0032	Fèb negatif -0.0570	Fèb negatif -0.0131	Fèb pozitif 0.0191	Fèb pozitif 0.0804	Fèb negatif -0.0267
Answer 7	-	Fèb pozitif 0.0185	Fèb pozitif 0.0354	Fèb negatif -0.0559	Fèb negatif -0.0314	Fèb pozitif 0.0417	Fèb pozitif 0.0586	Fèb negatif -0.0481
Answer 8	-	Fèb pozitif 0.0708	Fèb pozitif 0.0708	Fèb negatif -0.0270	Fèb pozitif 0.0104	Fèb pozitif 0.0338	Fèb pozitif 0.0127	Fèb negatif -0.1280
Answer 9	-	Fèb pozitif 0.0630	Fèb pozitif 0.1512	Fèb pozitif 0.0079	Fèb pozitif 0.0714	Fèb negatif -0.0087	Fèb negatif -0.0557	Fèb negatif -0.1733
Answer 10	-	Fèb pozitif 0.0806	Fèb pozitif 0.0652	Fèb negatif -0.0188	Fèb pozitif 0.0199	Fèb pozitif 0.0373	Fèb negatif -0.0200	Fèb negatif -0.1268
Answer 11	-	Fèb pozitif 0.0566	Fèb pozitif 0.0442	Fèb pozitif 0.0040	Fèb negatif -0.0016	Fèb pozitif 0.0220	Fèb pozitif 0.0278	Fèb negatif -0.1174
Answer 12	-	Fèb pozitif 0.0315	Fèb pozitif 0.0966	Fèb negatif -0.0342	Fèb pozitif 0.0304	Fèb pozitif 0.0295	Fèb pozitif 0.0320	Fèb negatif -0.1470
Answer 13	-	Fèb pozitif 0.0624	Fèb pozitif 0.1011	Fèb negatif -0.0425	Fèb pozitif 0.0203	Fèb pozitif 0.0451	Fèb pozitif 0.0170	Fèb negatif -0.1558
Answer 14	-	Fèb pozitif 0.0719	Fèb pozitif 0.1041	Fèb pozitif 0.0107	Fèb negatif -0.0097	Fèb negatif -0.0088	Fèb negatif -0.0037	Fèb negatif -0.1112
Answer 15	-	Fèb pozitif 0.0574	Fèb pozitif 0.1251	Fèb negatif -0.0379	Fèb pozitif 0.0135	Fèb negatif -0.0088	Fèb pozitif 0.0139	Fèb negatif -0.1116
Answer 16	-	Fèb pozitif 0.0589	Fèb pozitif 0.0159	Fèb negatif -0.0333	Fèb negatif -0.0505	Fèb pozitif 0.0761	Fèb pozitif 0.0236	Fèb negatif -0.0666

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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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