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 = 0.0349

Distribisyon ki pa nòmal, pa Spearman r = 0.0014

Montre rezilta sèlman > r = 0.0349

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 0.0460	Fèb pozitif 0.0225	Fèb negatif -0.0166	Fèb pozitif 0.0853	Fèb pozitif 0.0391	Fèb negatif -0.0142	Fèb negatif -0.1434
Answer 2	-	Fèb pozitif 0.0279	Fèb negatif -0.0027	Fèb negatif -0.0371	Fèb pozitif 0.0645	Fèb pozitif 0.0437	Fèb negatif -0.0017	Fèb negatif -0.0894
Answer 3	-	Fèb pozitif 0.0019	Fèb negatif -0.0225	Fèb negatif -0.0406	Fèb negatif -0.0523	Fèb pozitif 0.0512	Fèb pozitif 0.0735	Fèb negatif -0.0110
Answer 4	-	Fèb pozitif 0.0422	Fèb pozitif 0.0177	Fèb negatif -0.0099	Fèb pozitif 0.0093	Fèb pozitif 0.0395	Fèb pozitif 0.0095	Fèb negatif -0.0875
Answer 5	-	Fèb pozitif 0.0149	Fèb pozitif 0.1163	Fèb pozitif 0.0126	Fèb pozitif 0.0620	Fèb pozitif 0.0072	Fèb negatif -0.0122	Fèb negatif -0.1633
Answer 6	-	Fèb pozitif 0.0056	Fèb negatif -0.0033	Fèb negatif -0.0589	Fèb negatif -0.0122	Fèb pozitif 0.0202	Fèb pozitif 0.0781	Fèb negatif -0.0255
Answer 7	-	Fèb pozitif 0.0193	Fèb pozitif 0.0331	Fèb negatif -0.0586	Fèb negatif -0.0286	Fèb pozitif 0.0421	Fèb pozitif 0.0583	Fèb negatif -0.0479
Answer 8	-	Fèb pozitif 0.0713	Fèb pozitif 0.0728	Fèb negatif -0.0265	Fèb pozitif 0.0100	Fèb pozitif 0.0348	Fèb pozitif 0.0092	Fèb negatif -0.1278
Answer 9	-	Fèb pozitif 0.0635	Fèb pozitif 0.1539	Fèb pozitif 0.0083	Fèb pozitif 0.0717	Fèb negatif -0.0112	Fèb negatif -0.0560	Fèb negatif -0.1734
Answer 10	-	Fèb pozitif 0.0817	Fèb pozitif 0.0640	Fèb negatif -0.0185	Fèb pozitif 0.0222	Fèb pozitif 0.0356	Fèb negatif -0.0194	Fèb negatif -0.1280
Answer 11	-	Fèb pozitif 0.0578	Fèb pozitif 0.0430	Fèb pozitif 0.0022	Fèb pozitif 0.0006	Fèb pozitif 0.0214	Fèb pozitif 0.0283	Fèb negatif -0.1179
Answer 12	-	Fèb pozitif 0.0330	Fèb pozitif 0.0951	Fèb negatif -0.0370	Fèb pozitif 0.0332	Fèb pozitif 0.0300	Fèb pozitif 0.0328	Fèb negatif -0.1488
Answer 13	-	Fèb pozitif 0.0627	Fèb pozitif 0.1002	Fèb negatif -0.0450	Fèb pozitif 0.0236	Fèb pozitif 0.0463	Fèb pozitif 0.0169	Fèb negatif -0.1579
Answer 14	-	Fèb pozitif 0.0727	Fèb pozitif 0.1049	Fèb pozitif 0.0126	Fèb negatif -0.0095	Fèb negatif -0.0094	Fèb negatif -0.0053	Fèb negatif -0.1121
Answer 15	-	Fèb pozitif 0.0549	Fèb pozitif 0.1226	Fèb negatif -0.0389	Fèb pozitif 0.0151	Fèb negatif -0.0106	Fèb pozitif 0.0175	Fèb negatif -0.1102
Answer 16	-	Fèb pozitif 0.0588	Fèb pozitif 0.0155	Fèb negatif -0.0340	Fèb negatif -0.0495	Fèb pozitif 0.0749	Fèb pozitif 0.0250	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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