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 = 0.0351

Ikke normal distribution af Spearman r = 0.0014

Vis kun resultater > r = 0.0351

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 0.0461	Svag positiv 0.0236	Svag negativ -0.0125	Svag positiv 0.0836	Svag positiv 0.0389	Svag negativ -0.0164	Svag negativ -0.1442
Answer 2	-	Svag positiv 0.0249	Svag negativ -0.0009	Svag negativ -0.0357	Svag positiv 0.0631	Svag positiv 0.0443	Svag negativ -0.0033	Svag negativ -0.0878
Answer 3	-	Svag positiv 0.0016	Svag negativ -0.0229	Svag negativ -0.0385	Svag negativ -0.0551	Svag positiv 0.0501	Svag positiv 0.0752	Svag negativ -0.0099
Answer 4	-	Svag positiv 0.0420	Svag positiv 0.0217	Svag negativ -0.0070	Svag positiv 0.0088	Svag positiv 0.0372	Svag positiv 0.0060	Svag negativ -0.0871
Answer 5	-	Svag positiv 0.0139	Svag positiv 0.1156	Svag positiv 0.0124	Svag positiv 0.0634	Svag positiv 0.0039	Svag negativ -0.0102	Svag negativ -0.1617
Answer 6	-	Svag positiv 0.0052	Svag negativ -0.0027	Svag negativ -0.0568	Svag negativ -0.0124	Svag positiv 0.0188	Svag positiv 0.0800	Svag negativ -0.0274
Answer 7	-	Svag positiv 0.0193	Svag positiv 0.0358	Svag negativ -0.0557	Svag negativ -0.0319	Svag positiv 0.0418	Svag positiv 0.0577	Svag negativ -0.0480
Answer 8	-	Svag positiv 0.0710	Svag positiv 0.0714	Svag negativ -0.0267	Svag positiv 0.0111	Svag positiv 0.0336	Svag positiv 0.0121	Svag negativ -0.1289
Answer 9	-	Svag positiv 0.0632	Svag positiv 0.1517	Svag positiv 0.0082	Svag positiv 0.0720	Svag negativ -0.0089	Svag negativ -0.0561	Svag negativ -0.1740
Answer 10	-	Svag positiv 0.0804	Svag positiv 0.0652	Svag negativ -0.0188	Svag positiv 0.0203	Svag positiv 0.0372	Svag negativ -0.0198	Svag negativ -0.1272
Answer 11	-	Svag positiv 0.0569	Svag positiv 0.0447	Svag positiv 0.0043	Svag negativ -0.0009	Svag positiv 0.0218	Svag positiv 0.0273	Svag negativ -0.1182
Answer 12	-	Svag positiv 0.0317	Svag positiv 0.0972	Svag negativ -0.0339	Svag positiv 0.0312	Svag positiv 0.0292	Svag positiv 0.0315	Svag negativ -0.1479
Answer 13	-	Svag positiv 0.0623	Svag positiv 0.1013	Svag negativ -0.0425	Svag positiv 0.0208	Svag positiv 0.0449	Svag positiv 0.0170	Svag negativ -0.1564
Answer 14	-	Svag positiv 0.0722	Svag positiv 0.1047	Svag positiv 0.0111	Svag negativ -0.0089	Svag negativ -0.0091	Svag negativ -0.0043	Svag negativ -0.1121
Answer 15	-	Svag positiv 0.0576	Svag positiv 0.1256	Svag negativ -0.0376	Svag positiv 0.0141	Svag negativ -0.0090	Svag positiv 0.0134	Svag negativ -0.1123
Answer 16	-	Svag positiv 0.0590	Svag positiv 0.0162	Svag negativ -0.0332	Svag negativ -0.0501	Svag positiv 0.0759	Svag positiv 0.0233	Svag negativ -0.0671

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