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.

Frygt.

Diagrammer Korrelation

VUCA

Kritisk værdi af korrelationskoefficienten

Normal distribution af William Sealy Gosset (studerende) r = 0.0317

Ikke normal distribution af Spearman r = 0.0013

Vis kun resultater > r = 0.0317

Fordeling	Ikke normal	Ikke normal	Ikke normal	Normal	Normal	Normal	Normal	Normal
Alle spørgsmål Alle spørgsmål Min største frygt er
Min største frygt er
Answer 1	-	Svag positiv 0.0542	Svag positiv 0.0279	Svag negativ -0.0173	Svag positiv 0.0947	Svag positiv 0.0375	Svag negativ -0.0177	Svag negativ -0.1556
Answer 2	-	Svag positiv 0.0199	Svag negativ -0.0053	Svag negativ -0.0387	Svag positiv 0.0657	Svag positiv 0.0500	Svag positiv 0.0105	Svag negativ -0.0986
Answer 3	-	Svag negativ -0.0008	Svag negativ -0.0092	Svag negativ -0.0445	Svag negativ -0.0440	Svag positiv 0.0482	Svag positiv 0.0750	Svag negativ -0.0208
Answer 4	-	Svag positiv 0.0436	Svag positiv 0.0280	Svag negativ -0.0227	Svag positiv 0.0163	Svag positiv 0.0363	Svag positiv 0.0226	Svag negativ -0.0990
Answer 5	-	Svag positiv 0.0271	Svag positiv 0.1292	Svag positiv 0.0114	Svag positiv 0.0755	Svag positiv 0.0009	Svag negativ -0.0177	Svag negativ -0.1792
Answer 6	-	Svag negativ -0.0018	Svag positiv 0.0051	Svag negativ -0.0606	Svag negativ -0.0094	Svag positiv 0.0256	Svag positiv 0.0847	Svag negativ -0.0362
Answer 7	-	Svag positiv 0.0112	Svag positiv 0.0344	Svag negativ -0.0659	Svag negativ -0.0305	Svag positiv 0.0522	Svag positiv 0.0684	Svag negativ -0.0527
Answer 8	-	Svag positiv 0.0643	Svag positiv 0.0727	Svag negativ -0.0260	Svag positiv 0.0139	Svag positiv 0.0384	Svag positiv 0.0156	Svag negativ -0.1347
Answer 9	-	Svag positiv 0.0740	Svag positiv 0.1606	Svag positiv 0.0065	Svag positiv 0.0630	Svag negativ -0.0071	Svag negativ -0.0490	Svag negativ -0.1823
Answer 10	-	Svag positiv 0.0763	Svag positiv 0.0668	Svag negativ -0.0127	Svag positiv 0.0280	Svag positiv 0.0361	Svag negativ -0.0133	Svag negativ -0.1346
Answer 11	-	Svag positiv 0.0632	Svag positiv 0.0524	Svag negativ -0.0077	Svag positiv 0.0102	Svag positiv 0.0261	Svag positiv 0.0239	Svag negativ -0.1267
Answer 12	-	Svag positiv 0.0450	Svag positiv 0.0947	Svag negativ -0.0325	Svag positiv 0.0317	Svag positiv 0.0339	Svag positiv 0.0256	Svag negativ -0.1536
Answer 13	-	Svag positiv 0.0720	Svag positiv 0.0955	Svag negativ -0.0385	Svag positiv 0.0273	Svag positiv 0.0432	Svag positiv 0.0144	Svag negativ -0.1633
Answer 14	-	Svag positiv 0.0801	Svag positiv 0.0909	Svag negativ -0.0030	Svag negativ -0.0105	Svag positiv 0.0053	Svag positiv 0.0134	Svag negativ -0.1219
Answer 15	-	Svag positiv 0.0549	Svag positiv 0.1273	Svag negativ -0.0336	Svag positiv 0.0118	Svag negativ -0.0147	Svag positiv 0.0236	Svag negativ -0.1159
Answer 16	-	Svag positiv 0.0725	Svag positiv 0.0245	Svag negativ -0.0365	Svag negativ -0.0400	Svag positiv 0.0729	Svag positiv 0.0164	Svag negativ -0.0771

Eksport til MS Excel

Denne funktionalitet vil være tilgængelig i dine egne VUCA-afstemninger

Okay

2023.11.22

Valerii Kosenko

Produktejer SaaS SDTEST®

Valerii blev uddannet socialpædagog-psykolog i 1993 og har siden anvendt sin viden i projektledelse.
Valerii opnåede en kandidatgrad og projekt- og programlederkvalifikationen i 2013. I løbet af sin kandidatuddannelse blev han fortrolig med Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) og Spiral Dynamics.
Valerii er forfatteren til at udforske usikkerheden i V.U.C.A. koncept ved hjælp af Spiral Dynamics og matematisk statistik i psykologi, og 38 internationale meningsmålinger.

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