boek basearre test «Spiral Dynamics:
Mastering Values, Leadership, and
Change» (ISBN-13: 978-1405133562)
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Feathered Correlations: Color Predicting Culture in Diverse Flocks After Disaster

There were once colorful flocks of birds that lived together in a big forest. These flocks of birds had different ratios of beige birds, purple birds, red birds, blue birds, orange birds, green birds, yellow birds, and turquoise birds. These different proportions of colors influenced each flock's values, culture, and atmosphere. Their leaders made decisions based on the most common bird colors.


One day, after a bad storm, the flock leaders made tough choices to help their birds survive.


In Swift's flock, purple and green birds predominated. True to their adventurous nature, Swift sent the purple and green birds to find new food sources (unpaid vacation). She asked the orange birds to scout for materials to rebuild damaged nests because they loved to compete.


Feather's flock mainly had blue, who valued stability, and orange birds, who loved competition. The no-nonsense orange birds got right to work on repairs (no reduced staff). And the peaceful blue birds kept singing to lift spirits, so Feather changed nothing about their routines (nothing changed).  


Hootie's flock had many sociable yellow birds who could always find a profitable solution for everyone and possessed a Win-Win-Win behavior. When the yellow birds' food storage was damaged, instead of reducing their rations (reduced salaries), Hootie asked the red birds to share the extra food they had gathered. So, yellow birds' food storage wasn't changed (no reduced salaries).


Over in Willa's flock, fun-loving turquoise birds were the majority. After the storm, Willa kept all her turquoise birds in their usual nests, singing songs since their cheerfulness helped the whole flock recover (nothing changed). But she had to ask the few red and orange birds to rebuild damaged nests belonging to elder beige birds temporarily.


Each diverse flock recovered based on its colorful culture and connections. But all birds worked cooperatively despite difficulties to continue thriving in the forest.


The SDTEST® gives clues to someone's motivational values. However, additional polls can provide more pieces of the puzzle.


Imagine also giving an "Actions of companies in relation to personnel in the last month (yes / no)" poll. It asks people about actions of companies in relation to personnel in the last month. 


Now imagine 1'000 people who took both tests. You could match up each person's SDTEST® colors with their answers about actions of companies in relation to personnel in the last month.


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 what is the perception of the actions of companies in relation to personnel in the last month. 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 "Actions of companies in relation to personnel in the last month (yes / no)". The full results of the poll are available for free in the FAQ section after login or registration.


Hannelingen fan bedriuwen yn relaasje ta personiel yn 'e lêste moanne (ja / nee)

Lân
Taal
-
Mail
Berekkenje
Critical wearde fan de korrelaasje koëffisjint
Normale ferdieling, troch William Sealy Gosset (Student) r = 0.0541
Normale ferdieling, troch William Sealy Gosset (Student) r = 0.0541
Net normale ferdieling, troch Spearman r = 0.0022
DistribúsjeNet
normaal
NormaalNormaalNormaalNormaalNormaalNormaalNormaal
Alle fragen
Alle fragen
Hokker aksjes binne nommen yn relaasje ta personiel yn 'e lêste moanne
Hokker aksjes binne nommen yn relaasje ta personiel yn 'e lêste moanne
Answer 1-
Swak posityf
0.1262
Swak posityf
0.0393
Swak negatyf
-0.0430
Swak negatyf
-0.1112
Swak posityf
0.0566
Swak posityf
0.0129
Swak negatyf
-0.0370
Answer 2-
Swak negatyf
-0.0164
Swak negatyf
-0.0406
Swak posityf
0.0046
Swak negatyf
-0.0031
Swak negatyf
-0.0244
Swak posityf
0.0030
Swak posityf
0.0619
Answer 3-
Swak posityf
0.0365
Swak negatyf
-0.0131
Swak posityf
0.0168
Swak negatyf
-0.0151
Swak posityf
0.0354
Swak negatyf
-0.0535
Swak negatyf
-0.0049
Answer 4-
Swak posityf
0.0389
Swak posityf
0.0690
Swak negatyf
-0.0044
Swak negatyf
-0.0321
Swak posityf
0.0225
Swak negatyf
-0.0520
Swak negatyf
-0.0187
Answer 5-
Swak negatyf
-0.0074
Swak posityf
0.0333
Swak negatyf
-0.0475
Swak posityf
0.0148
Swak posityf
0.0367
Swak negatyf
-0.0038
Swak negatyf
-0.0222
Answer 6-
Swak negatyf
-0.0111
Swak posityf
0.0149
Swak posityf
0.0431
Swak negatyf
-0.0107
Swak negatyf
-0.0075
Swak negatyf
-0.0093
Swak negatyf
-0.0124
Answer 7-
Swak posityf
0.0379
Swak posityf
0.0331
Swak negatyf
-0.0179
Swak negatyf
-0.0400
Swak posityf
0.0075
Swak negatyf
-0.0060
Swak negatyf
-0.0008
Answer 8-
Swak negatyf
-0.0168
Swak posityf
0.0090
Swak negatyf
-0.0003
Swak negatyf
-0.0616
Swak negatyf
-0.0313
Swak posityf
0.0671
Swak posityf
0.0342
Answer 9-
Swak negatyf
-0.0539
Swak posityf
0.0266
Swak posityf
0.0323
Swak posityf
0.0641
Swak negatyf
-0.0473
Swak negatyf
-0.0117
Swak negatyf
-0.0181


Eksportearje nei MS Excel
Dizze funksjonaliteit sil beskikber wêze yn jo eigen VUCA-fraach
Ok


2023.12.09
Valerii Kosenko
Produkt Eigner SAAS PET-projekt SDTest®

Valerii waard kwalifisearre as in sosjale pedagog-psycholooch yn 1993 en hat sûnt syn kennis tapast yn projektbehear.
Valerii krige yn 2013 fan in master en it projekt- en programma Manager, waard hy bekendheid, waard hy bekend mei projekt Roadmap foar projekt (GPM Deutsche Gesellsschaft foar Projekt-management E. V.) en spiraal dynamyk.
Valerii naam ferskate spiraal dynamyk tests en brûkte syn kennis en ûnderfining om de hjoeddeistige ferzje fan Sdtest oan te passen.
Valerii is de auteur fan it ferkennen fan 'e ûnwissichheid fan' e V.U.C.A. Konsept mei spiraal dynamyk en wiskundige statistiken yn psychology, mear dan 20 ynternasjonale fraachpetearen.
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