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 = 0.0331

Ikke normal distribution af Spearman r = 0.0013

Vis kun resultater > r = 0.0331

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 0.0563	Svag positiv 0.0317	Svag negativ -0.0161	Svag positiv 0.0907	Svag positiv 0.0298	Svag negativ -0.0126	Svag negativ -0.1537
Answer 2	-	Svag positiv 0.0216	Svag positiv 0.0002	Svag negativ -0.0458	Svag positiv 0.0654	Svag positiv 0.0445	Svag positiv 0.0124	Svag negativ -0.0937
Answer 3	-	Svag negativ -0.0035	Svag negativ -0.0111	Svag negativ -0.0421	Svag negativ -0.0456	Svag positiv 0.0466	Svag positiv 0.0786	Svag negativ -0.0201
Answer 4	-	Svag positiv 0.0435	Svag positiv 0.0353	Svag negativ -0.0181	Svag positiv 0.0145	Svag positiv 0.0301	Svag positiv 0.0197	Svag negativ -0.0979
Answer 5	-	Svag positiv 0.0299	Svag positiv 0.1279	Svag positiv 0.0136	Svag positiv 0.0730	Svag negativ -0.0007	Svag negativ -0.0207	Svag negativ -0.1746
Answer 6	-	Svag negativ -0.0004	Svag positiv 0.0082	Svag negativ -0.0629	Svag negativ -0.0078	Svag positiv 0.0193	Svag positiv 0.0830	Svag negativ -0.0318
Answer 7	-	Svag positiv 0.0122	Svag positiv 0.0381	Svag negativ -0.0686	Svag negativ -0.0242	Svag positiv 0.0471	Svag positiv 0.0636	Svag negativ -0.0513
Answer 8	-	Svag positiv 0.0698	Svag positiv 0.0849	Svag negativ -0.0321	Svag positiv 0.0146	Svag positiv 0.0345	Svag positiv 0.0130	Svag negativ -0.1368
Answer 9	-	Svag positiv 0.0665	Svag positiv 0.1674	Svag positiv 0.0092	Svag positiv 0.0691	Svag negativ -0.0128	Svag negativ -0.0528	Svag negativ -0.1812
Answer 10	-	Svag positiv 0.0778	Svag positiv 0.0755	Svag negativ -0.0180	Svag positiv 0.0231	Svag positiv 0.0346	Svag negativ -0.0146	Svag negativ -0.1298
Answer 11	-	Svag positiv 0.0584	Svag positiv 0.0524	Svag negativ -0.0096	Svag positiv 0.0081	Svag positiv 0.0199	Svag positiv 0.0318	Svag negativ -0.1197
Answer 12	-	Svag positiv 0.0380	Svag positiv 0.1042	Svag negativ -0.0352	Svag positiv 0.0357	Svag positiv 0.0254	Svag positiv 0.0286	Svag negativ -0.1515
Answer 13	-	Svag positiv 0.0644	Svag positiv 0.1057	Svag negativ -0.0448	Svag positiv 0.0268	Svag positiv 0.0416	Svag positiv 0.0169	Svag negativ -0.1600
Answer 14	-	Svag positiv 0.0717	Svag positiv 0.1026	Svag negativ -0.0006	Svag negativ -0.0089	Svag negativ -0.0012	Svag positiv 0.0080	Svag negativ -0.1168
Answer 15	-	Svag positiv 0.0549	Svag positiv 0.1375	Svag negativ -0.0420	Svag positiv 0.0178	Svag negativ -0.0160	Svag positiv 0.0216	Svag negativ -0.1180
Answer 16	-	Svag positiv 0.0591	Svag positiv 0.0273	Svag negativ -0.0386	Svag negativ -0.0399	Svag positiv 0.0653	Svag positiv 0.0282	Svag negativ -0.0708

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.

Dette indlæg har 0 Kommentarer

Svar til

Annuller et svar

Efterlad din kommentar