boek gebaseer toets «Spiral Dynamics:
Mastering Values, Leadership, and
Change» (ISBN-13: 978-1405133562)
Borge

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.


Vrese

KaarteKorrelasie
?
Hier is die verband tussen die reaksies van die peiling en die spiraaldinamika -toetskleure
VUCA
?
Hier is 'n nuwe koppelvlakbeskouing van korrelasie in 'n tabel volgens die spiraaldinamika waar wisselvalligheid, onsekerheid, kompleksiteit en dubbelsinnigheid (V.U.C.A.) getoon word deur positiewe en negatiewe korrelasie -afhanklikhede tussen die reaksies van die peiling en die spiraaldinamika -kleure
Land
Taal
-
Mail
Herbereken
Kritieke waarde van die korrelasiekoëffisiënt
Normale verspreiding, deur William Sealy Gosset (student) r = 0.0315
Normale verspreiding, deur William Sealy Gosset (student) r = 0.0315
Nie normale verspreiding, deur Spearman r = 0.0013
VerspreidingNie
normaal nie
Nie
normaal nie
Nie
normaal nie
NormaalNormaalNormaalNormaalNormaal
Alle vrae
Alle vrae
My grootste vrees is
My grootste vrees is
Answer 1-
Swak positief
0.0519
Swak positief
0.0249
Swak negatief
-0.0201
Swak positief
0.0938
Swak positief
0.0393
Swak negatief
-0.0148
Swak negatief
-0.1536
Answer 2-
Swak positief
0.0160
Swak negatief
-0.0089
Swak negatief
-0.0381
Swak positief
0.0645
Swak positief
0.0505
Swak positief
0.0138
Swak negatief
-0.0948
Answer 3-
Swak negatief
-0.0036
Swak negatief
-0.0099
Swak negatief
-0.0465
Swak negatief
-0.0421
Swak positief
0.0504
Swak positief
0.0770
Swak negatief
-0.0232
Answer 4-
Swak positief
0.0441
Swak positief
0.0306
Swak negatief
-0.0266
Swak positief
0.0174
Swak positief
0.0382
Swak positief
0.0265
Swak negatief
-0.1041
Answer 5-
Swak positief
0.0220
Swak positief
0.1235
Swak positief
0.0108
Swak positief
0.0747
Swak positief
0.0006
Swak negatief
-0.0155
Swak negatief
-0.1747
Answer 6-
Swak negatief
-0.0019
Swak positief
0.0038
Swak negatief
-0.0625
Swak negatief
-0.0102
Swak positief
0.0264
Swak positief
0.0858
Swak negatief
-0.0359
Answer 7-
Swak positief
0.0103
Swak positief
0.0310
Swak negatief
-0.0672
Swak negatief
-0.0302
Swak positief
0.0540
Swak positief
0.0709
Swak negatief
-0.0528
Answer 8-
Swak positief
0.0651
Swak positief
0.0685
Swak negatief
-0.0275
Swak positief
0.0124
Swak positief
0.0401
Swak positief
0.0177
Swak negatief
-0.1337
Answer 9-
Swak positief
0.0752
Swak positief
0.1592
Swak positief
0.0059
Swak positief
0.0602
Swak negatief
-0.0071
Swak negatief
-0.0483
Swak negatief
-0.1823
Answer 10-
Swak positief
0.0747
Swak positief
0.0607
Swak negatief
-0.0134
Swak positief
0.0271
Swak positief
0.0335
Swak negatief
-0.0111
Swak negatief
-0.1346
Answer 11-
Swak positief
0.0632
Swak positief
0.0502
Swak negatief
-0.0089
Swak positief
0.0089
Swak positief
0.0283
Swak positief
0.0252
Swak negatief
-0.1282
Answer 12-
Swak positief
0.0426
Swak positief
0.0888
Swak negatief
-0.0328
Swak positief
0.0321
Swak positief
0.0353
Swak positief
0.0263
Swak negatief
-0.1530
Answer 13-
Swak positief
0.0700
Swak positief
0.0916
Swak negatief
-0.0386
Swak positief
0.0291
Swak positief
0.0440
Swak positief
0.0155
Swak negatief
-0.1638
Answer 14-
Swak positief
0.0811
Swak positief
0.0861
Swak negatief
-0.0041
Swak negatief
-0.0124
Swak positief
0.0081
Swak positief
0.0148
Swak negatief
-0.1207
Answer 15-
Swak positief
0.0548
Swak positief
0.1223
Swak negatief
-0.0347
Swak positief
0.0118
Swak negatief
-0.0133
Swak positief
0.0266
Swak negatief
-0.1157
Answer 16-
Swak positief
0.0702
Swak positief
0.0202
Swak negatief
-0.0390
Swak negatief
-0.0397
Swak positief
0.0747
Swak positief
0.0185
Swak negatief
-0.0767


Uitvoer na MS Excel
Hierdie funksionaliteit sal beskikbaar wees in u eie VUCA-stembusse
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2023.11.22
FearpersonqualitiesprojectorganizationalstructureRACIresponsibilitymatrixCritical ChainProject Managementfocus factorJiraempathyleadersbossGermanyChinaPolicyUkraineRussiawarvolatilityuncertaintycomplexityambiguityVUCArelocatejobproblemcountryreasongive upobjectivekeyresultmathematicalpsychologyMBTIHR metricsstandardDEIcorrelationriskscoringmodelGame TheoryPrisoner's Dilemma
Valerii Kosenko
Produk Eienaar SaaS SDTEST®

Valerii is in 1993 as 'n sosiale pedagoog-sielkundige gekwalifiseer en het sedertdien sy kennis in projekbestuur toegepas.
Valerii het 'n Meestersgraad en die projek- en programbestuurderkwalifikasie verwerf in 2013. Tydens sy Meesterprogram het hy vertroud geraak met Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) en Spiral Dynamics.
Valerii is die skrywer van die verkenning van die onsekerheid van die V.U.C.A. konsep met behulp van Spiraaldinamika en wiskundige statistieke in sielkunde, en 38 internasionale peilings.
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