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 = 0.0521
Normale ferdieling, troch William Sealy Gosset (Student) r = 0.0521
Net normale ferdieling, troch Spearman r = 0.0021
DistribúsjeNet
normaal
NormaalNet
normaal
NormaalNormaalNormaalNormaalNormaal
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
0.1182
Swak posityf
0.0322
Swak negatyf
-0.0370
Swak negatyf
-0.1012
Swak posityf
0.0411
Swak posityf
0.0177
Swak negatyf
-0.0306
Answer 2-
Swak negatyf
-0.0040
Swak negatyf
-0.0361
Swak negatyf
-0.0030
Swak negatyf
-0.0108
Swak negatyf
-0.0096
Swak negatyf
-0.0075
Swak posityf
0.0594
Answer 3-
Swak posityf
0.0300
Swak negatyf
-0.0165
Swak posityf
0.0169
Swak negatyf
-0.0178
Swak posityf
0.0351
Swak negatyf
-0.0388
Swak negatyf
-0.0070
Answer 4-
Swak posityf
0.0356
Swak posityf
0.0628
Swak negatyf
-0.0090
Swak negatyf
-0.0336
Swak posityf
0.0193
Swak negatyf
-0.0397
Swak negatyf
-0.0143
Answer 5-
Swak negatyf
-0.0102
Swak posityf
0.0343
Swak negatyf
-0.0402
Swak posityf
0.0156
Swak posityf
0.0262
Swak negatyf
-0.0086
Swak negatyf
-0.0140
Answer 6-
Swak negatyf
-0.0208
Swak posityf
0.0018
Swak posityf
0.0420
Swak negatyf
-0.0070
Swak negatyf
-0.0043
Swak posityf
0.0080
Swak negatyf
-0.0167
Answer 7-
Swak posityf
0.0264
Swak posityf
0.0379
Swak negatyf
-0.0224
Swak negatyf
-0.0360
Swak posityf
0.0064
Swak posityf
0.0009
Swak negatyf
-0.0016
Answer 8-
Swak negatyf
-0.0144
Swak posityf
0.0011
Swak negatyf
-0.0125
Swak negatyf
-0.0414
Swak negatyf
-0.0360
Swak posityf
0.0659
Swak posityf
0.0332
Answer 9-
Swak negatyf
-0.0551
Swak posityf
0.0349
Swak posityf
0.0344
Swak posityf
0.0685
Swak negatyf
-0.0543
Swak negatyf
-0.0123
Swak negatyf
-0.0223


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


2023.12.09
Valerii Kosenko
Produkt Eigner SaaS SDTEST®

Valerii waard yn 1993 kwalifisearre as sosjaal pedagogysk psycholooch en hat syn kennis sûnt dy tiid tapast yn projektbehear.
Valerii helle in masterstitel en de kwalifikaasje projekt- en programmamanager yn 2013. Tidens syn masteroplieding kaam hy yn de kunde mei Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) en Spiral Dynamics.
Valerii is de skriuwer fan it ferkennen fan 'e ûnwissichheid fan' e V.U.C.A. konsept mei help fan Spiral Dynamics en wiskundige statistiken yn psychology, en 38 ynternasjonale polls.
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