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 = 0.033

Distribisyon ki pa nòmal, pa Spearman r = 0.0013

Montre rezilta sèlman > r = 0.033

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 0.0532	Fèb pozitif 0.0294	Fèb negatif -0.0180	Fèb pozitif 0.0922	Fèb pozitif 0.0300	Fèb negatif -0.0113	Fèb negatif -0.1522
Answer 2	-	Fèb pozitif 0.0207	Fèb negatif -0.0011	Fèb negatif -0.0438	Fèb pozitif 0.0644	Fèb pozitif 0.0447	Fèb pozitif 0.0131	Fèb negatif -0.0929
Answer 3	-	Fèb negatif -0.0053	Fèb negatif -0.0128	Fèb negatif -0.0410	Fèb negatif -0.0454	Fèb pozitif 0.0473	Fèb pozitif 0.0794	Fèb negatif -0.0203
Answer 4	-	Fèb pozitif 0.0426	Fèb pozitif 0.0329	Fèb negatif -0.0202	Fèb pozitif 0.0158	Fèb pozitif 0.0306	Fèb pozitif 0.0217	Fèb negatif -0.0980
Answer 5	-	Fèb pozitif 0.0255	Fèb pozitif 0.1256	Fèb pozitif 0.0141	Fèb pozitif 0.0733	Fèb negatif -0.0019	Fèb negatif -0.0196	Fèb negatif -0.1747
Answer 6	-	Fèb negatif -0.0027	Fèb pozitif 0.0073	Fèb negatif -0.0627	Fèb negatif -0.0075	Fèb pozitif 0.0199	Fèb pozitif 0.0834	Fèb negatif -0.0325
Answer 7	-	Fèb pozitif 0.0111	Fèb pozitif 0.0369	Fèb negatif -0.0684	Fèb negatif -0.0230	Fèb pozitif 0.0472	Fèb pozitif 0.0649	Fèb negatif -0.0524
Answer 8	-	Fèb pozitif 0.0694	Fèb pozitif 0.0824	Fèb negatif -0.0317	Fèb pozitif 0.0137	Fèb pozitif 0.0352	Fèb pozitif 0.0146	Fèb negatif -0.1370
Answer 9	-	Fèb pozitif 0.0644	Fèb pozitif 0.1658	Fèb pozitif 0.0085	Fèb pozitif 0.0697	Fèb negatif -0.0135	Fèb negatif -0.0514	Fèb negatif -0.1827
Answer 10	-	Fèb pozitif 0.0760	Fèb pozitif 0.0728	Fèb negatif -0.0214	Fèb pozitif 0.0252	Fèb pozitif 0.0319	Fèb negatif -0.0139	Fèb negatif -0.1319
Answer 11	-	Fèb pozitif 0.0570	Fèb pozitif 0.0518	Fèb negatif -0.0106	Fèb pozitif 0.0080	Fèb pozitif 0.0205	Fèb pozitif 0.0309	Fèb negatif -0.1210
Answer 12	-	Fèb pozitif 0.0373	Fèb pozitif 0.1012	Fèb negatif -0.0356	Fèb pozitif 0.0357	Fèb pozitif 0.0243	Fèb pozitif 0.0296	Fèb negatif -0.1524
Answer 13	-	Fèb pozitif 0.0620	Fèb pozitif 0.1041	Fèb negatif -0.0449	Fèb pozitif 0.0278	Fèb pozitif 0.0412	Fèb pozitif 0.0179	Fèb negatif -0.1607
Answer 14	-	Fèb pozitif 0.0703	Fèb pozitif 0.1005	Fèb pozitif 0.0005	Fèb negatif -0.0090	Fèb negatif -0.0010	Fèb pozitif 0.0083	Fèb negatif -0.1176
Answer 15	-	Fèb pozitif 0.0554	Fèb pozitif 0.1348	Fèb negatif -0.0414	Fèb pozitif 0.0178	Fèb negatif -0.0164	Fèb pozitif 0.0218	Fèb negatif -0.1182
Answer 16	-	Fèb pozitif 0.0580	Fèb pozitif 0.0256	Fèb negatif -0.0392	Fèb negatif -0.0405	Fèb pozitif 0.0653	Fèb pozitif 0.0283	Fèb negatif -0.0714

Ekspòtasyon nan MS Excel

Sa a fonksyonalite yo ap disponib nan pwòp biwo vòt VUCA ou yo

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.

Pòs sa a genyen 0 Kòmantè

Reponn a

Anile yon repons

Kite kòmantè ou