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.


恐惧

國家
語言
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Mail
重新计算
的相关系数的临界值
正态分布,威廉·西莉·格塞特(William Sealy Gosset)(学生) r = 0.0315
正态分布,威廉·西莉·格塞特(William Sealy Gosset)(学生) r = 0.0315
非正态分布,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
所有问题
所有问题
我最大的恐惧是
我最大的恐惧是
Answer 1-
弱阳性
0.0519
弱阳性
0.0249
弱负
-0.0201
弱阳性
0.0938
弱阳性
0.0393
弱负
-0.0148
弱负
-0.1536
Answer 2-
弱阳性
0.0160
弱负
-0.0089
弱负
-0.0381
弱阳性
0.0645
弱阳性
0.0505
弱阳性
0.0138
弱负
-0.0948
Answer 3-
弱负
-0.0036
弱负
-0.0099
弱负
-0.0465
弱负
-0.0421
弱阳性
0.0504
弱阳性
0.0770
弱负
-0.0232
Answer 4-
弱阳性
0.0441
弱阳性
0.0306
弱负
-0.0266
弱阳性
0.0174
弱阳性
0.0382
弱阳性
0.0265
弱负
-0.1041
Answer 5-
弱阳性
0.0220
弱阳性
0.1235
弱阳性
0.0108
弱阳性
0.0747
弱阳性
0.0006
弱负
-0.0155
弱负
-0.1747
Answer 6-
弱负
-0.0019
弱阳性
0.0038
弱负
-0.0625
弱负
-0.0102
弱阳性
0.0264
弱阳性
0.0858
弱负
-0.0359
Answer 7-
弱阳性
0.0103
弱阳性
0.0310
弱负
-0.0672
弱负
-0.0302
弱阳性
0.0540
弱阳性
0.0709
弱负
-0.0528
Answer 8-
弱阳性
0.0651
弱阳性
0.0685
弱负
-0.0275
弱阳性
0.0124
弱阳性
0.0401
弱阳性
0.0177
弱负
-0.1337
Answer 9-
弱阳性
0.0752
弱阳性
0.1592
弱阳性
0.0059
弱阳性
0.0602
弱负
-0.0071
弱负
-0.0483
弱负
-0.1823
Answer 10-
弱阳性
0.0747
弱阳性
0.0607
弱负
-0.0134
弱阳性
0.0271
弱阳性
0.0335
弱负
-0.0111
弱负
-0.1346
Answer 11-
弱阳性
0.0632
弱阳性
0.0502
弱负
-0.0089
弱阳性
0.0089
弱阳性
0.0283
弱阳性
0.0252
弱负
-0.1282
Answer 12-
弱阳性
0.0426
弱阳性
0.0888
弱负
-0.0328
弱阳性
0.0321
弱阳性
0.0353
弱阳性
0.0263
弱负
-0.1530
Answer 13-
弱阳性
0.0700
弱阳性
0.0916
弱负
-0.0386
弱阳性
0.0291
弱阳性
0.0440
弱阳性
0.0155
弱负
-0.1638
Answer 14-
弱阳性
0.0811
弱阳性
0.0861
弱负
-0.0041
弱负
-0.0124
弱阳性
0.0081
弱阳性
0.0148
弱负
-0.1207
Answer 15-
弱阳性
0.0548
弱阳性
0.1223
弱负
-0.0347
弱阳性
0.0118
弱负
-0.0133
弱阳性
0.0266
弱负
-0.1157
Answer 16-
弱阳性
0.0702
弱阳性
0.0202
弱负
-0.0390
弱负
-0.0397
弱阳性
0.0747
弱阳性
0.0185
弱负
-0.0767


出口到MS Excel
您自己的VUCA民意调查中可以使用此功能
好的

2023.11.22
FearpersonqualitiesprojectorganizationalstructureRACIresponsibilitymatrixCritical ChainProject Managementfocus factorJiraempathyleadersbossGermanyChinaPolicyUkraineRussiawarvolatilityuncertaintycomplexityambiguityVUCArelocatejobproblemcountryreasongive upobjectivekeyresultmathematicalpsychologyMBTIHR metricsstandardDEIcorrelationriskscoringmodelGame TheoryPrisoner's Dilemma
Valerii Kosenko
产品负责人 SaaS SDTEST®

Valerii 于 1993 年获得社会教育心理学家资格,此后将他的知识应用于项目管理。
Valerii 于 2013 年获得硕士学位以及项目和项目经理资格。在硕士学习期间,他熟悉了项目路线图 (GPM Deutsche Gesellschaft für Projektmanagement e. V.) 和 Spiral Dynamics。
Valerii 是探讨 V.U.C.A. 不确定性的作者。使用螺旋动力学和心理学数理统计的概念,以及 38 个国际民意调查。
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