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 = 0.0353

Ikke normal distribution af Spearman r = 0.0014

Vis kun resultater > r = 0.0353

Fordeling	Ikke normal	Normal	Ikke normal	Normal	Normal	Normal	Normal	Normal
Alle spørgsmål Alle spørgsmål Min største frygt er
Min største frygt er
Answer 1	-	Svag positiv 0.0409	Svag positiv 0.0229	Svag negativ -0.0106	Svag positiv 0.0856	Svag positiv 0.0359	Svag negativ -0.0113	Svag negativ -0.1450
Answer 2	-	Svag positiv 0.0204	Svag positiv 0.0013	Svag negativ -0.0338	Svag positiv 0.0663	Svag positiv 0.0394	Svag positiv 7.36E-5	Svag negativ -0.0895
Answer 3	-	Svag positiv 0.0033	Svag negativ -0.0203	Svag negativ -0.0391	Svag negativ -0.0564	Svag positiv 0.0501	Svag positiv 0.0764	Svag negativ -0.0121
Answer 4	-	Svag positiv 0.0364	Svag positiv 0.0217	Svag negativ -0.0021	Svag positiv 0.0105	Svag positiv 0.0326	Svag positiv 0.0098	Svag negativ -0.0878
Answer 5	-	Svag positiv 0.0136	Svag positiv 0.1172	Svag positiv 0.0147	Svag positiv 0.0654	Svag positiv 0.0014	Svag negativ -0.0126	Svag negativ -0.1620
Answer 6	-	Svag positiv 0.0038	Svag negativ -0.0003	Svag negativ -0.0559	Svag negativ -0.0109	Svag positiv 0.0151	Svag positiv 0.0802	Svag negativ -0.0271
Answer 7	-	Svag positiv 0.0199	Svag positiv 0.0339	Svag negativ -0.0515	Svag negativ -0.0318	Svag positiv 0.0382	Svag positiv 0.0576	Svag negativ -0.0470
Answer 8	-	Svag positiv 0.0706	Svag positiv 0.0745	Svag negativ -0.0238	Svag positiv 0.0117	Svag positiv 0.0292	Svag positiv 0.0115	Svag negativ -0.1287
Answer 9	-	Svag positiv 0.0580	Svag positiv 0.1505	Svag positiv 0.0115	Svag positiv 0.0766	Svag negativ -0.0145	Svag negativ -0.0543	Svag negativ -0.1726
Answer 10	-	Svag positiv 0.0720	Svag positiv 0.0654	Svag negativ -0.0160	Svag positiv 0.0247	Svag positiv 0.0338	Svag negativ -0.0165	Svag negativ -0.1274
Answer 11	-	Svag positiv 0.0533	Svag positiv 0.0438	Svag positiv 0.0078	Svag positiv 0.0015	Svag positiv 0.0166	Svag positiv 0.0279	Svag negativ -0.1160
Answer 12	-	Svag positiv 0.0279	Svag positiv 0.0935	Svag negativ -0.0301	Svag positiv 0.0330	Svag positiv 0.0256	Svag positiv 0.0335	Svag negativ -0.1456
Answer 13	-	Svag positiv 0.0594	Svag positiv 0.0956	Svag negativ -0.0388	Svag positiv 0.0220	Svag positiv 0.0427	Svag positiv 0.0200	Svag negativ -0.1543
Answer 14	-	Svag positiv 0.0670	Svag positiv 0.1013	Svag positiv 0.0154	Svag negativ -0.0072	Svag negativ -0.0113	Svag negativ -0.0027	Svag negativ -0.1103
Answer 15	-	Svag positiv 0.0583	Svag positiv 0.1234	Svag negativ -0.0352	Svag positiv 0.0155	Svag negativ -0.0122	Svag positiv 0.0138	Svag negativ -0.1113
Answer 16	-	Svag positiv 0.0654	Svag positiv 0.0177	Svag negativ -0.0273	Svag negativ -0.0515	Svag positiv 0.0719	Svag positiv 0.0213	Svag negativ -0.0701

Eksport til MS Excel

Denne funktionalitet vil være tilgængelig i dine egne VUCA-afstemninger

Okay

2023.11.22

Valerii Kosenko

Produktejer SaaS Pet Project SDTest®

Valerii blev kvalificeret som social pædagoge-psykolog i 1993 og har siden anvendt sin viden inden for projektledelse.
Valerii opnåede en kandidatgrad og projekt- og programlederkvalifikationen i 2013. Under sin kandidatuddannelse blev han fortrolig med Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement E. V.) og spiraldynamik.
Valerii tog forskellige spiraldynamikforsøg og brugte sin viden og erfaring til at tilpasse den aktuelle version af SDTest.
Valerii er forfatteren af at udforske usikkerheden i V.U.C.A. Koncept ved hjælp af spiraldynamik og matematisk statistik inden for psykologi, mere end 20 internationale afstemninger.

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