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 = 0.0318

Ikke normal distribution af Spearman r = 0.0013

Vis kun resultater > r = 0.0318

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 0.0550	Svag positiv 0.0286	Svag negativ -0.0174	Svag positiv 0.0942	Svag positiv 0.0349	Svag negativ -0.0159	Svag negativ -0.1552
Answer 2	-	Svag positiv 0.0186	Svag negativ -0.0052	Svag negativ -0.0393	Svag positiv 0.0656	Svag positiv 0.0490	Svag positiv 0.0122	Svag negativ -0.0976
Answer 3	-	Svag negativ -0.0017	Svag negativ -0.0092	Svag negativ -0.0448	Svag negativ -0.0447	Svag positiv 0.0480	Svag positiv 0.0745	Svag negativ -0.0186
Answer 4	-	Svag positiv 0.0418	Svag positiv 0.0272	Svag negativ -0.0231	Svag positiv 0.0179	Svag positiv 0.0349	Svag positiv 0.0241	Svag negativ -0.0985
Answer 5	-	Svag positiv 0.0270	Svag positiv 0.1295	Svag positiv 0.0102	Svag positiv 0.0766	Svag positiv 0.0002	Svag negativ -0.0181	Svag negativ -0.1786
Answer 6	-	Svag negativ -0.0033	Svag positiv 0.0048	Svag negativ -0.0623	Svag negativ -0.0092	Svag positiv 0.0248	Svag positiv 0.0865	Svag negativ -0.0344
Answer 7	-	Svag positiv 0.0098	Svag positiv 0.0339	Svag negativ -0.0663	Svag negativ -0.0312	Svag positiv 0.0523	Svag positiv 0.0695	Svag negativ -0.0513
Answer 8	-	Svag positiv 0.0630	Svag positiv 0.0733	Svag negativ -0.0277	Svag positiv 0.0139	Svag positiv 0.0374	Svag positiv 0.0179	Svag negativ -0.1338
Answer 9	-	Svag positiv 0.0731	Svag positiv 0.1620	Svag positiv 0.0066	Svag positiv 0.0639	Svag negativ -0.0107	Svag negativ -0.0483	Svag negativ -0.1810
Answer 10	-	Svag positiv 0.0754	Svag positiv 0.0682	Svag negativ -0.0141	Svag positiv 0.0286	Svag positiv 0.0344	Svag negativ -0.0115	Svag negativ -0.1344
Answer 11	-	Svag positiv 0.0628	Svag positiv 0.0536	Svag negativ -0.0093	Svag positiv 0.0106	Svag positiv 0.0243	Svag positiv 0.0255	Svag negativ -0.1259
Answer 12	-	Svag positiv 0.0439	Svag positiv 0.0943	Svag negativ -0.0343	Svag positiv 0.0335	Svag positiv 0.0339	Svag positiv 0.0263	Svag negativ -0.1534
Answer 13	-	Svag positiv 0.0705	Svag positiv 0.0959	Svag negativ -0.0391	Svag positiv 0.0294	Svag positiv 0.0416	Svag positiv 0.0147	Svag negativ -0.1630
Answer 14	-	Svag positiv 0.0787	Svag positiv 0.0906	Svag negativ -0.0024	Svag negativ -0.0091	Svag positiv 0.0044	Svag positiv 0.0140	Svag negativ -0.1224
Answer 15	-	Svag positiv 0.0535	Svag positiv 0.1280	Svag negativ -0.0347	Svag positiv 0.0145	Svag negativ -0.0171	Svag positiv 0.0244	Svag negativ -0.1158
Answer 16	-	Svag positiv 0.0698	Svag positiv 0.0265	Svag negativ -0.0372	Svag negativ -0.0378	Svag positiv 0.0699	Svag positiv 0.0208	Svag negativ -0.0790

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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