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.

恐懼

Charts相关性

VUCA

Critical_value_of_the_correlation_coefficient

正態分佈，威廉·西莉·格塞特（William Sealy Gosset）（學生） r = 0.0311

非正態分佈，Spearman r = 0.0013

僅顯示結果 > r = 0.0311

分配	非正常	非正常	非正常	普通的	普通的	普通的	普通的	普通的
所有問題所有問題我最大的恐懼是
我最大的恐懼是
Answer 1	-	Weak_positive 0.0509	Weak_positive 0.0217	Weak_negative -0.0188	Weak_positive 0.0970	Weak_positive 0.0398	Weak_negative -0.0151	Weak_negative -0.1551
Answer 2	-	Weak_positive 0.0167	Weak_negative -0.0055	Weak_negative -0.0400	Weak_positive 0.0638	Weak_positive 0.0522	Weak_positive 0.0126	Weak_negative -0.0961
Answer 3	-	Weak_negative -0.0053	Weak_negative -0.0062	Weak_negative -0.0438	Weak_negative -0.0396	Weak_positive 0.0494	Weak_positive 0.0747	Weak_negative -0.0272
Answer 4	-	Weak_positive 0.0436	Weak_positive 0.0332	Weak_negative -0.0277	Weak_positive 0.0169	Weak_positive 0.0420	Weak_positive 0.0244	Weak_negative -0.1061
Answer 5	-	Weak_positive 0.0196	Weak_positive 0.1246	Weak_positive 0.0108	Weak_positive 0.0756	Weak_positive 0.0004	Weak_negative -0.0154	Weak_negative -0.1749
Answer 6	-	Weak_negative -0.0031	Weak_positive 0.0042	Weak_negative -0.0603	Weak_negative -0.0071	Weak_positive 0.0235	Weak_positive 0.0841	Weak_negative -0.0367
Answer 7	-	Weak_positive 0.0083	Weak_positive 0.0318	Weak_negative -0.0625	Weak_negative -0.0293	Weak_positive 0.0512	Weak_positive 0.0689	Weak_negative -0.0530
Answer 8	-	Weak_positive 0.0635	Weak_positive 0.0685	Weak_negative -0.0232	Weak_positive 0.0112	Weak_positive 0.0412	Weak_positive 0.0157	Weak_negative -0.1348
Answer 9	-	Weak_positive 0.0748	Weak_positive 0.1575	Weak_positive 0.0073	Weak_positive 0.0615	Weak_negative -0.0042	Weak_negative -0.0522	Weak_negative -0.1829
Answer 10	-	Weak_positive 0.0756	Weak_positive 0.0596	Weak_negative -0.0138	Weak_positive 0.0238	Weak_positive 0.0354	Weak_negative -0.0106	Weak_negative -0.1328
Answer 11	-	Weak_positive 0.0612	Weak_positive 0.0497	Weak_negative -0.0077	Weak_positive 0.0102	Weak_positive 0.0312	Weak_positive 0.0206	Weak_negative -0.1277
Answer 12	-	Weak_positive 0.0402	Weak_positive 0.0902	Weak_negative -0.0320	Weak_positive 0.0337	Weak_positive 0.0337	Weak_positive 0.0254	Weak_negative -0.1524
Answer 13	-	Weak_positive 0.0693	Weak_positive 0.0939	Weak_negative -0.0376	Weak_positive 0.0300	Weak_positive 0.0421	Weak_positive 0.0120	Weak_negative -0.1622
Answer 14	-	Weak_positive 0.0818	Weak_positive 0.0864	Weak_negative -0.0013	Weak_negative -0.0132	Weak_positive 0.0078	Weak_positive 0.0125	Weak_negative -0.1213
Answer 15	-	Weak_positive 0.0569	Weak_positive 0.1208	Weak_negative -0.0323	Weak_positive 0.0097	Weak_negative -0.0128	Weak_positive 0.0257	Weak_negative -0.1160
Answer 16	-	Weak_positive 0.0698	Weak_positive 0.0201	Weak_negative -0.0379	Weak_negative -0.0400	Weak_positive 0.0758	Weak_positive 0.0151	Weak_negative -0.0753

export_to_excel

win_buy_vuca_message

好的

2023.11.22

FearpersonqualitiesprojectorganizationalstructureRACIresponsibilitymatrixCritical ChainProject Managementfocus factorJiraempathyleadersbossGermanyChinaPolicyUkraineRussiawarvolatilityuncertaintycomplexityambiguityVUCArelocatejobproblemcountryreasongive upobjectivekeyresultmathematicalpsychologyMBTIHR metricsstandardDEIcorrelationriskscoringmodelGame TheoryPrisoner's Dilemma

Valerii Kosenko

產品負責人 SaaS SDTEST®

Valerii 於 1993 年獲得社會教育心理學家資格，此後將他的知識應用於專案管理。
Valerii 於 2013 年獲得碩士學位以及專案和專案經理資格。
Valerii 是探討 V.U.C.A. 不確定性的作者。使用螺旋動力學和心理學數理統計的概念，以及 38 個國際民意調查。

這個帖子有 0 評論

取消答复

發表評論