基于本书测试 «Spiral Dynamics: Mastering
Values, Leadership, and Change»
(ISBN-13: 978-1405133562)
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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

圖表相关性
?
此函数自动计算线性和非线性相关性。执行相关性分析之前,请先创建散点图来验证关系的性质。只有在通过视觉或分析确认了假定的关系类型后,相关系数才有意义。
VUCA
?
这是表格中相关性的新接口视图,通过螺旋动力学水平,波动性,不确定性,复杂性和歧义(V.U.C.A.)通过投票的响应与螺旋动力学颜色之间的正相关和负相关依赖性显示
國家
語言
-
Mail
重新计算
相关类型
线性(皮尔逊)
线性(皮尔逊)
非线性(斯皮尔曼)
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)
正态分布,威廉·西莉·格塞特(William Sealy Gosset)(学生)
非正态分布,Spearman
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
0.0474
弱阳性
0.0239
弱负
-0.0225
弱阳性
0.0986
弱阳性
0.0353
弱负
-0.0125
弱负
-0.1502
Answer 2-
弱阳性
0.0244
弱阳性
0.0003
弱负
-0.0419
弱阳性
0.0611
弱阳性
0.0465
弱阳性
0.0145
弱负
-0.0981
Answer 3-
弱负
-0.0019
弱阳性
0.0062
弱负
-0.0476
弱负
-0.0427
弱阳性
0.0421
弱阳性
0.0744
弱负
-0.0236
Answer 4-
弱阳性
0.0458
弱阳性
0.0325
弱负
-0.0275
弱阳性
0.0183
弱阳性
0.0362
弱阳性
0.0211
弱负
-0.1006
Answer 5-
弱阳性
0.0208
弱阳性
0.1301
弱阳性
0.0044
弱阳性
0.0843
弱负
-0.0007
弱负
-0.0129
弱负
-0.1817
Answer 6-
弱阳性
0.0047
弱阳性
0.0158
弱负
-0.0644
弱负
-0.0115
弱阳性
0.0160
弱阳性
0.0865
弱负
-0.0359
Answer 7-
弱阳性
0.0073
弱阳性
0.0446
弱负
-0.0684
弱负
-0.0340
弱阳性
0.0450
弱阳性
0.0747
弱负
-0.0513
Answer 8-
弱阳性
0.0624
弱阳性
0.0858
弱负
-0.0296
弱阳性
0.0111
弱阳性
0.0346
弱阳性
0.0167
弱负
-0.1357
Answer 9-
弱阳性
0.0775
弱阳性
0.1614
弱负
-0.0015
弱阳性
0.0614
弱负
-0.0086
弱负
-0.0494
弱负
-0.1771
Answer 10-
弱阳性
0.0796
弱阳性
0.0625
弱负
-0.0155
弱阳性
0.0234
弱阳性
0.0394
弱负
-0.0077
弱负
-0.1360
Answer 11-
弱阳性
0.0674
弱阳性
0.0563
弱负
-0.0088
弱阳性
0.0090
弱阳性
0.0240
弱阳性
0.0186
弱负
-0.1244
Answer 12-
弱阳性
0.0411
弱阳性
0.1036
弱负
-0.0371
弱阳性
0.0351
弱阳性
0.0272
弱阳性
0.0257
弱负
-0.1516
Answer 13-
弱阳性
0.0736
弱阳性
0.1023
弱负
-0.0373
弱阳性
0.0271
弱阳性
0.0304
弱阳性
0.0134
弱负
-0.1582
Answer 14-
弱阳性
0.0849
弱阳性
0.0926
弱负
-0.0078
弱负
-0.0146
弱阳性
0.0047
弱阳性
0.0090
弱负
-0.1149
Answer 15-
弱阳性
0.0607
弱阳性
0.1302
弱负
-0.0328
弱阳性
0.0107
弱负
-0.0203
弱阳性
0.0229
弱负
-0.1177
Answer 16-
弱阳性
0.0706
弱阳性
0.0324
弱负
-0.0368
弱负
-0.0428
弱阳性
0.0653
弱阳性
0.0147
弱负
-0.0710


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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你好呀!让我问你,您已经熟悉螺旋动态吗?