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
0.0515
Weak_positive
0.0261
Weak_negative
-0.0179
Weak_positive
0.0940
Weak_positive
0.0363
Weak_negative
-0.0151
Weak_negative
-0.1529
Answer 2-
Weak_positive
0.0172
Weak_negative
-0.0055
Weak_negative
-0.0388
Weak_positive
0.0663
Weak_positive
0.0500
Weak_positive
0.0110
Weak_negative
-0.0962
Answer 3-
Weak_negative
-0.0031
Weak_negative
-0.0094
Weak_negative
-0.0438
Weak_negative
-0.0438
Weak_positive
0.0475
Weak_positive
0.0742
Weak_negative
-0.0191
Answer 4-
Weak_positive
0.0417
Weak_positive
0.0260
Weak_negative
-0.0235
Weak_positive
0.0183
Weak_positive
0.0360
Weak_positive
0.0239
Weak_negative
-0.0983
Answer 5-
Weak_positive
0.0225
Weak_positive
0.1264
Weak_positive
0.0118
Weak_positive
0.0771
Weak_negative
-0.0012
Weak_negative
-0.0181
Weak_negative
-0.1763
Answer 6-
Weak_negative
-0.0052
Weak_positive
0.0041
Weak_negative
-0.0622
Weak_negative
-0.0082
Weak_positive
0.0247
Weak_positive
0.0852
Weak_negative
-0.0341
Answer 7-
Weak_positive
0.0086
Weak_positive
0.0331
Weak_negative
-0.0656
Weak_negative
-0.0299
Weak_positive
0.0522
Weak_positive
0.0685
Weak_negative
-0.0511
Answer 8-
Weak_positive
0.0624
Weak_positive
0.0704
Weak_negative
-0.0259
Weak_positive
0.0134
Weak_positive
0.0374
Weak_positive
0.0179
Weak_negative
-0.1331
Answer 9-
Weak_positive
0.0706
Weak_positive
0.1596
Weak_positive
0.0080
Weak_positive
0.0646
Weak_negative
-0.0112
Weak_negative
-0.0487
Weak_negative
-0.1813
Answer 10-
Weak_positive
0.0740
Weak_positive
0.0650
Weak_negative
-0.0142
Weak_positive
0.0296
Weak_positive
0.0314
Weak_negative
-0.0129
Weak_negative
-0.1351
Answer 11-
Weak_positive
0.0623
Weak_positive
0.0513
Weak_negative
-0.0084
Weak_positive
0.0108
Weak_positive
0.0243
Weak_positive
0.0245
Weak_negative
-0.1261
Answer 12-
Weak_positive
0.0430
Weak_positive
0.0913
Weak_negative
-0.0327
Weak_positive
0.0340
Weak_positive
0.0321
Weak_positive
0.0253
Weak_negative
-0.1532
Answer 13-
Weak_positive
0.0673
Weak_positive
0.0954
Weak_negative
-0.0388
Weak_positive
0.0304
Weak_positive
0.0408
Weak_positive
0.0146
Weak_negative
-0.1621
Answer 14-
Weak_positive
0.0765
Weak_positive
0.0882
Weak_positive
0.0004
Weak_negative
-0.0093
Weak_positive
0.0050
Weak_positive
0.0134
Weak_negative
-0.1222
Answer 15-
Weak_positive
0.0545
Weak_positive
0.1266
Weak_negative
-0.0336
Weak_positive
0.0146
Weak_negative
-0.0178
Weak_positive
0.0227
Weak_negative
-0.1148
Answer 16-
Weak_positive
0.0687
Weak_positive
0.0240
Weak_negative
-0.0363
Weak_negative
-0.0382
Weak_positive
0.0696
Weak_positive
0.0206
Weak_negative
-0.0788


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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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