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

Country
Lang
-
Mail
重新計算
Critical_value_of_the_correlation_coefficient
正態分佈,威廉·西莉·格塞特(William Sealy Gosset)(學生) r = 0.0331
正態分佈,威廉·西莉·格塞特(William Sealy Gosset)(學生) r = 0.0331
非正態分佈,Spearman r = 0.0013
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
0.0535
Weak_positive
0.0288
Weak_negative
-0.0174
Weak_positive
0.0904
Weak_positive
0.0307
Weak_negative
-0.0109
Weak_negative
-0.1518
Answer 2-
Weak_positive
0.0195
Weak_positive
0.0002
Weak_negative
-0.0444
Weak_positive
0.0669
Weak_positive
0.0443
Weak_positive
0.0114
Weak_negative
-0.0932
Answer 3-
Weak_negative
-0.0055
Weak_negative
-0.0112
Weak_negative
-0.0412
Weak_negative
-0.0443
Weak_positive
0.0469
Weak_positive
0.0786
Weak_negative
-0.0212
Answer 4-
Weak_positive
0.0426
Weak_positive
0.0344
Weak_negative
-0.0185
Weak_positive
0.0156
Weak_positive
0.0302
Weak_positive
0.0199
Weak_negative
-0.0984
Answer 5-
Weak_positive
0.0249
Weak_positive
0.1242
Weak_positive
0.0138
Weak_positive
0.0722
Weak_negative
-0.0009
Weak_negative
-0.0194
Weak_negative
-0.1732
Answer 6-
Weak_negative
-0.0026
Weak_positive
0.0080
Weak_negative
-0.0627
Weak_negative
-0.0066
Weak_positive
0.0196
Weak_positive
0.0828
Weak_negative
-0.0331
Answer 7-
Weak_positive
0.0109
Weak_positive
0.0376
Weak_negative
-0.0680
Weak_negative
-0.0224
Weak_positive
0.0471
Weak_positive
0.0638
Weak_negative
-0.0526
Answer 8-
Weak_positive
0.0696
Weak_positive
0.0832
Weak_negative
-0.0308
Weak_positive
0.0140
Weak_positive
0.0349
Weak_positive
0.0136
Weak_negative
-0.1377
Answer 9-
Weak_positive
0.0642
Weak_positive
0.1662
Weak_positive
0.0096
Weak_positive
0.0698
Weak_negative
-0.0135
Weak_negative
-0.0531
Weak_negative
-0.1825
Answer 10-
Weak_positive
0.0756
Weak_positive
0.0718
Weak_negative
-0.0196
Weak_positive
0.0228
Weak_positive
0.0329
Weak_negative
-0.0144
Weak_negative
-0.1308
Answer 11-
Weak_positive
0.0578
Weak_positive
0.0516
Weak_negative
-0.0105
Weak_positive
0.0079
Weak_positive
0.0205
Weak_positive
0.0310
Weak_negative
-0.1215
Answer 12-
Weak_positive
0.0363
Weak_positive
0.1005
Weak_negative
-0.0354
Weak_positive
0.0348
Weak_positive
0.0255
Weak_positive
0.0295
Weak_negative
-0.1514
Answer 13-
Weak_positive
0.0620
Weak_positive
0.1036
Weak_negative
-0.0456
Weak_positive
0.0269
Weak_positive
0.0420
Weak_positive
0.0185
Weak_negative
-0.1601
Answer 14-
Weak_positive
0.0710
Weak_positive
0.1018
Weak_positive
0.0009
Weak_negative
-0.0087
Weak_negative
-0.0015
Weak_positive
0.0070
Weak_negative
-0.1179
Answer 15-
Weak_positive
0.0548
Weak_positive
0.1365
Weak_negative
-0.0408
Weak_positive
0.0182
Weak_negative
-0.0166
Weak_positive
0.0205
Weak_negative
-0.1186
Answer 16-
Weak_positive
0.0581
Weak_positive
0.0259
Weak_negative
-0.0390
Weak_negative
-0.0403
Weak_positive
0.0652
Weak_positive
0.0279
Weak_negative
-0.0716


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2023.11.22
Valerii Kosenko
產品主SaaS Pet ProjectSDTEST®

Valerii於1993年獲得社會教育學家的資格,此後已將其知識應用於項目管理。
Valerii在2013年獲得了碩士學位和項目和計劃經理資格。在他的碩士課程中,他熟悉Project Roadmap(GPM Deutsche GesellschaftFürProjektmanagemente。V.)和螺旋動力學。
Valerii進行了各種螺旋動力測試,並利用他的知識和經驗來適應當前版本的SDTest。
Valerii是探索V.U.C.A.的不確定性的作者。使用螺旋動力學和心理學中的數學統計數據,有20多個國際民意測驗的概念。
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