boek gebaseer toets «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.


Aksies van maatskappye in verhouding tot personeel die afgelope maand (ja / nee)

Land
Taal
-
Mail
Herbereken
Kritieke waarde van die korrelasiekoëffisiënt
Normale verspreiding, deur William Sealy Gosset (student) r = 0.0519
Normale verspreiding, deur William Sealy Gosset (student) r = 0.0519
Nie normale verspreiding, deur Spearman r = 0.0021
VerspreidingNie
normaal nie
NormaalNie
normaal nie
NormaalNormaalNormaalNormaalNormaal
Alle vrae
Alle vrae
Watter aksies is die afgelope maand in verband met personeel gedoen
Watter aksies is die afgelope maand in verband met personeel gedoen
Answer 1-
Swak positief
0.1204
Swak positief
0.0304
Swak negatief
-0.0412
Swak negatief
-0.1015
Swak positief
0.0425
Swak positief
0.0172
Swak negatief
-0.0277
Answer 2-
Swak negatief
-0.0057
Swak negatief
-0.0377
Swak positief
0.0008
Swak negatief
-0.0091
Swak negatief
-0.0113
Swak negatief
-0.0093
Swak positief
0.0598
Answer 3-
Swak positief
0.0298
Swak negatief
-0.0162
Swak positief
0.0168
Swak negatief
-0.0183
Swak positief
0.0357
Swak negatief
-0.0383
Swak negatief
-0.0075
Answer 4-
Swak positief
0.0354
Swak positief
0.0629
Swak negatief
-0.0090
Swak negatief
-0.0340
Swak positief
0.0199
Swak negatief
-0.0392
Swak negatief
-0.0147
Answer 5-
Swak negatief
-0.0103
Swak positief
0.0345
Swak negatief
-0.0400
Swak positief
0.0150
Swak positief
0.0268
Swak negatief
-0.0082
Swak negatief
-0.0145
Answer 6-
Swak negatief
-0.0209
Swak positief
0.0021
Swak positief
0.0417
Swak negatief
-0.0078
Swak negatief
-0.0031
Swak positief
0.0086
Swak negatief
-0.0174
Answer 7-
Swak positief
0.0262
Swak positief
0.0382
Swak negatief
-0.0224
Swak negatief
-0.0367
Swak positief
0.0075
Swak positief
0.0015
Swak negatief
-0.0023
Answer 8-
Swak negatief
-0.0144
Swak positief
0.0013
Swak negatief
-0.0125
Swak negatief
-0.0417
Swak negatief
-0.0352
Swak positief
0.0660
Swak positief
0.0326
Answer 9-
Swak negatief
-0.0546
Swak positief
0.0376
Swak positief
0.0327
Swak positief
0.0679
Swak negatief
-0.0543
Swak negatief
-0.0104
Swak negatief
-0.0239


Uitvoer na MS Excel
Hierdie funksionaliteit sal beskikbaar wees in u eie VUCA-stembusse
Ok


2023.12.09
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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