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 = 0.0318
正態分佈,威廉·西莉·格塞特(William Sealy Gosset)(學生) r = 0.0318
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
0.0526
Weak_positive
0.0260
Weak_negative
-0.0183
Weak_positive
0.0946
Weak_positive
0.0358
Weak_negative
-0.0143
Weak_negative
-0.1540
Answer 2-
Weak_positive
0.0175
Weak_negative
-0.0058
Weak_negative
-0.0388
Weak_positive
0.0668
Weak_positive
0.0496
Weak_positive
0.0117
Weak_negative
-0.0970
Answer 3-
Weak_negative
-0.0035
Weak_negative
-0.0091
Weak_negative
-0.0441
Weak_negative
-0.0435
Weak_positive
0.0478
Weak_positive
0.0747
Weak_negative
-0.0200
Answer 4-
Weak_positive
0.0414
Weak_positive
0.0257
Weak_negative
-0.0232
Weak_positive
0.0188
Weak_positive
0.0356
Weak_positive
0.0249
Weak_negative
-0.0993
Answer 5-
Weak_positive
0.0226
Weak_positive
0.1270
Weak_positive
0.0111
Weak_positive
0.0773
Weak_negative
-0.0008
Weak_negative
-0.0177
Weak_negative
-0.1772
Answer 6-
Weak_negative
-0.0057
Weak_positive
0.0040
Weak_negative
-0.0620
Weak_negative
-0.0076
Weak_positive
0.0246
Weak_positive
0.0860
Weak_negative
-0.0351
Answer 7-
Weak_positive
0.0082
Weak_positive
0.0329
Weak_negative
-0.0653
Weak_negative
-0.0294
Weak_positive
0.0519
Weak_positive
0.0693
Weak_negative
-0.0520
Answer 8-
Weak_positive
0.0627
Weak_positive
0.0709
Weak_negative
-0.0265
Weak_positive
0.0134
Weak_positive
0.0376
Weak_positive
0.0181
Weak_negative
-0.1337
Answer 9-
Weak_positive
0.0710
Weak_positive
0.1600
Weak_positive
0.0074
Weak_positive
0.0646
Weak_negative
-0.0109
Weak_negative
-0.0487
Weak_negative
-0.1817
Answer 10-
Weak_positive
0.0739
Weak_positive
0.0654
Weak_negative
-0.0147
Weak_positive
0.0296
Weak_positive
0.0318
Weak_negative
-0.0126
Weak_negative
-0.1357
Answer 11-
Weak_positive
0.0627
Weak_positive
0.0522
Weak_negative
-0.0096
Weak_positive
0.0108
Weak_positive
0.0250
Weak_positive
0.0244
Weak_negative
-0.1268
Answer 12-
Weak_positive
0.0431
Weak_positive
0.0920
Weak_negative
-0.0336
Weak_positive
0.0339
Weak_positive
0.0327
Weak_positive
0.0254
Weak_negative
-0.1537
Answer 13-
Weak_positive
0.0685
Weak_positive
0.0956
Weak_negative
-0.0394
Weak_positive
0.0308
Weak_positive
0.0405
Weak_positive
0.0148
Weak_negative
-0.1628
Answer 14-
Weak_positive
0.0779
Weak_positive
0.0883
Weak_negative
-0.0001
Weak_negative
-0.0092
Weak_positive
0.0046
Weak_positive
0.0135
Weak_negative
-0.1225
Answer 15-
Weak_positive
0.0537
Weak_positive
0.1267
Weak_negative
-0.0337
Weak_positive
0.0152
Weak_negative
-0.0175
Weak_positive
0.0234
Weak_negative
-0.1158
Answer 16-
Weak_positive
0.0689
Weak_positive
0.0247
Weak_negative
-0.0371
Weak_negative
-0.0383
Weak_positive
0.0702
Weak_positive
0.0203
Weak_negative
-0.0791


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2023.11.22
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。
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