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.

Strahovi

Charts Korelacija

VUCA

Kritične vrijednosti koeficijenta korelacije

Normalna distribucija, William Sealy Gosset (student) r = 0.0318

Non Normalna distribucija, od Spearman r = 0.0013

Prikaži samo rezultate > r = 0.0318

Distribucija	Ne normalno	Ne normalno	Ne normalno	Normalan	Normalan	Normalan	Normalan	Normalan
Sva pitanja Sva pitanja Moj najveći strah je
Moj najveći strah je
Answer 1	-	Slabo pozitivno 0.0551	Slabo pozitivno 0.0281	Slab negativan -0.0170	Slabo pozitivno 0.0943	Slabo pozitivno 0.0352	Slab negativan -0.0160	Slab negativan -0.1555
Answer 2	-	Slabo pozitivno 0.0193	Slab negativan -0.0049	Slab negativan -0.0393	Slabo pozitivno 0.0660	Slabo pozitivno 0.0489	Slabo pozitivno 0.0116	Slab negativan -0.0980
Answer 3	-	Slab negativan -0.0011	Slab negativan -0.0086	Slab negativan -0.0449	Slab negativan -0.0440	Slabo pozitivno 0.0474	Slabo pozitivno 0.0740	Slab negativan -0.0192
Answer 4	-	Slabo pozitivno 0.0425	Slabo pozitivno 0.0270	Slab negativan -0.0228	Slabo pozitivno 0.0186	Slabo pozitivno 0.0348	Slabo pozitivno 0.0236	Slab negativan -0.0992
Answer 5	-	Slabo pozitivno 0.0269	Slabo pozitivno 0.1300	Slabo pozitivno 0.0100	Slabo pozitivno 0.0768	Slab negativan -0.0001	Slab negativan -0.0179	Slab negativan -0.1787
Answer 6	-	Slab negativan -0.0026	Slabo pozitivno 0.0052	Slab negativan -0.0623	Slab negativan -0.0085	Slabo pozitivno 0.0244	Slabo pozitivno 0.0859	Slab negativan -0.0349
Answer 7	-	Slabo pozitivno 0.0104	Slabo pozitivno 0.0342	Slab negativan -0.0663	Slab negativan -0.0308	Slabo pozitivno 0.0521	Slabo pozitivno 0.0690	Slab negativan -0.0518
Answer 8	-	Slabo pozitivno 0.0634	Slabo pozitivno 0.0734	Slab negativan -0.0277	Slabo pozitivno 0.0139	Slabo pozitivno 0.0374	Slabo pozitivno 0.0176	Slab negativan -0.1339
Answer 9	-	Slabo pozitivno 0.0734	Slabo pozitivno 0.1620	Slabo pozitivno 0.0067	Slabo pozitivno 0.0641	Slab negativan -0.0106	Slab negativan -0.0486	Slab negativan -0.1812
Answer 10	-	Slabo pozitivno 0.0758	Slabo pozitivno 0.0683	Slab negativan -0.0141	Slabo pozitivno 0.0287	Slabo pozitivno 0.0344	Slab negativan -0.0118	Slab negativan -0.1345
Answer 11	-	Slabo pozitivno 0.0633	Slabo pozitivno 0.0538	Slab negativan -0.0093	Slabo pozitivno 0.0109	Slabo pozitivno 0.0242	Slabo pozitivno 0.0250	Slab negativan -0.1263
Answer 12	-	Slabo pozitivno 0.0444	Slabo pozitivno 0.0945	Slab negativan -0.0343	Slabo pozitivno 0.0338	Slabo pozitivno 0.0338	Slabo pozitivno 0.0259	Slab negativan -0.1538
Answer 13	-	Slabo pozitivno 0.0702	Slabo pozitivno 0.0964	Slab negativan -0.0395	Slabo pozitivno 0.0291	Slabo pozitivno 0.0415	Slabo pozitivno 0.0150	Slab negativan -0.1626
Answer 14	-	Slabo pozitivno 0.0785	Slabo pozitivno 0.0902	Slab negativan -0.0021	Slab negativan -0.0093	Slabo pozitivno 0.0047	Slabo pozitivno 0.0142	Slab negativan -0.1224
Answer 15	-	Slabo pozitivno 0.0540	Slabo pozitivno 0.1283	Slab negativan -0.0347	Slabo pozitivno 0.0149	Slab negativan -0.0173	Slabo pozitivno 0.0240	Slab negativan -0.1161
Answer 16	-	Slabo pozitivno 0.0700	Slabo pozitivno 0.0264	Slab negativan -0.0372	Slab negativan -0.0379	Slabo pozitivno 0.0700	Slabo pozitivno 0.0207	Slab negativan -0.0790

Izvoz u MS Excel

Ova funkcionalnost bit će dostupna u vlastitim VUCA anketama

Uredu

2023.11.22

Valerii Kosenko

Vlasnik proizvoda SaaS SDTEST®

Valerii je 1993. godine stekao kvalifikaciju socijalnog pedagoga-psihologa i od tada primjenjuje svoje znanje u upravljanju projektima.
Valerii je magistrirao i kvalifikaciju menadžera projekta i programa 2013. godine. Tokom magistarskog programa upoznao se sa Planom puta projekta (GPM Deutsche Gesellschaft für Projektmanagement e. V.) i Spiral Dynamics.
Valerii je autor istraživanja neizvjesnosti V.U.C.A. koncept koji koristi spiralnu dinamiku i matematičku statistiku u psihologiji i 38 međunarodnih anketa.

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