prova basada en el llibre «Spiral
Dynamics: Mastering Values, Leadership,
and Change» (ISBN-13: 978-1405133562)
Patrocinadors

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.


Temors

gràficsCorrelació
?
Heus aquí la relació entre les respostes de l’enquesta i els colors de la prova de la dinàmica en espiral
VUCA
?
Aquí teniu una nova visió d’interfície de la correlació en una taula mitjançant nivells de dinàmica espiral on la volatilitat, la incertesa, la complexitat i l’ambigüitat (V.U.C.A.) es mostren mitjançant dependències de correlació positives i negatives entre les respostes de l’enquesta i els colors de la dinàmica espiral
país
Llenguatge
-
Mail
Recalcular
Valor crític de el coeficient de correlació
Distribució normal, de William Sealy Gosset (estudiant) r = 0.0315
Distribució normal, de William Sealy Gosset (estudiant) r = 0.0315
Distribució no normal, per Spearman r = 0.0013
DistribucióNo
normal
No
normal
No
normal
NormalNormalNormalNormalNormal
Totes les preguntes
Totes les preguntes
El meu major temor és
El meu major temor és
Answer 1-
Positiva feble
0.0519
Positiva feble
0.0249
Negativa feble
-0.0201
Positiva feble
0.0938
Positiva feble
0.0393
Negativa feble
-0.0148
Negativa feble
-0.1536
Answer 2-
Positiva feble
0.0160
Negativa feble
-0.0089
Negativa feble
-0.0381
Positiva feble
0.0645
Positiva feble
0.0505
Positiva feble
0.0138
Negativa feble
-0.0948
Answer 3-
Negativa feble
-0.0036
Negativa feble
-0.0099
Negativa feble
-0.0465
Negativa feble
-0.0421
Positiva feble
0.0504
Positiva feble
0.0770
Negativa feble
-0.0232
Answer 4-
Positiva feble
0.0441
Positiva feble
0.0306
Negativa feble
-0.0266
Positiva feble
0.0174
Positiva feble
0.0382
Positiva feble
0.0265
Negativa feble
-0.1041
Answer 5-
Positiva feble
0.0220
Positiva feble
0.1235
Positiva feble
0.0108
Positiva feble
0.0747
Positiva feble
0.0006
Negativa feble
-0.0155
Negativa feble
-0.1747
Answer 6-
Negativa feble
-0.0019
Positiva feble
0.0038
Negativa feble
-0.0625
Negativa feble
-0.0102
Positiva feble
0.0264
Positiva feble
0.0858
Negativa feble
-0.0359
Answer 7-
Positiva feble
0.0103
Positiva feble
0.0310
Negativa feble
-0.0672
Negativa feble
-0.0302
Positiva feble
0.0540
Positiva feble
0.0709
Negativa feble
-0.0528
Answer 8-
Positiva feble
0.0651
Positiva feble
0.0685
Negativa feble
-0.0275
Positiva feble
0.0124
Positiva feble
0.0401
Positiva feble
0.0177
Negativa feble
-0.1337
Answer 9-
Positiva feble
0.0752
Positiva feble
0.1592
Positiva feble
0.0059
Positiva feble
0.0602
Negativa feble
-0.0071
Negativa feble
-0.0483
Negativa feble
-0.1823
Answer 10-
Positiva feble
0.0747
Positiva feble
0.0607
Negativa feble
-0.0134
Positiva feble
0.0271
Positiva feble
0.0335
Negativa feble
-0.0111
Negativa feble
-0.1346
Answer 11-
Positiva feble
0.0632
Positiva feble
0.0502
Negativa feble
-0.0089
Positiva feble
0.0089
Positiva feble
0.0283
Positiva feble
0.0252
Negativa feble
-0.1282
Answer 12-
Positiva feble
0.0426
Positiva feble
0.0888
Negativa feble
-0.0328
Positiva feble
0.0321
Positiva feble
0.0353
Positiva feble
0.0263
Negativa feble
-0.1530
Answer 13-
Positiva feble
0.0700
Positiva feble
0.0916
Negativa feble
-0.0386
Positiva feble
0.0291
Positiva feble
0.0440
Positiva feble
0.0155
Negativa feble
-0.1638
Answer 14-
Positiva feble
0.0811
Positiva feble
0.0861
Negativa feble
-0.0041
Negativa feble
-0.0124
Positiva feble
0.0081
Positiva feble
0.0148
Negativa feble
-0.1207
Answer 15-
Positiva feble
0.0548
Positiva feble
0.1223
Negativa feble
-0.0347
Positiva feble
0.0118
Negativa feble
-0.0133
Positiva feble
0.0266
Negativa feble
-0.1157
Answer 16-
Positiva feble
0.0702
Positiva feble
0.0202
Negativa feble
-0.0390
Negativa feble
-0.0397
Positiva feble
0.0747
Positiva feble
0.0185
Negativa feble
-0.0767


Exportació a MS Excel
Aquesta funcionalitat estarà disponible a les vostres pròpies enquestes VUCA
D'acord

2023.11.22
FearpersonqualitiesprojectorganizationalstructureRACIresponsibilitymatrixCritical ChainProject Managementfocus factorJiraempathyleadersbossGermanyChinaPolicyUkraineRussiawarvolatilityuncertaintycomplexityambiguityVUCArelocatejobproblemcountryreasongive upobjectivekeyresultmathematicalpsychologyMBTIHR metricsstandardDEIcorrelationriskscoringmodelGame TheoryPrisoner's Dilemma
Valerii Kosenko
Product Owner SaaS SDTEST®

Valerii va ser titulat com a pedagog social-psicòleg l'any 1993 i des de llavors ha aplicat els seus coneixements en gestió de projectes.
Valerii va obtenir un màster i la qualificació de director de projectes i programes el 2013. Durant el seu programa de màster, es va familiaritzar amb Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) i Spiral Dynamics.
Valerii és l'autor d'explorar la incertesa del V.U.C.A. concepte utilitzant Spiral Dynamics i estadístiques matemàtiques en psicologia, i 38 enquestes internacionals.
Aquest post té 0 Comentaris
Respondre a
Cancel·la una resposta
Deixa el teu comentari
×
Vostè troba un error
Proposar les seves CORRECTE VERSIÓ
Introduïu la vostra adreça de correu segons es desitgi
Enviar
Cancel · lar
Redirect to your region's domain sdtest.us ?
YES
NO
Bot
sdtest
1
Hola! Permeteu -me que us pregunti, ja coneixeu la dinàmica en espiral?