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)

KaarteKorrelasie
?
Hierdie funksie bereken outomaties lineêre en nie-lineêre korrelasie. Voordat u korrelasie-analise uitvoer, skep 'n spreidingsdiagram om die aard van die verwantskappe te verifieer. Korrelasiekoëffisiënte is slegs betekenisvol as die veronderstelde verhoudingstipe visueel of analities bevestig word.
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
Korrelasie tipe
Lineêr (Pearson)
Lineêr (Pearson)
Nie-lineêr (Spearman)
Kritieke waarde van die korrelasiekoëffisiënt
Normale verspreiding, deur William Sealy Gosset (student)
Normale verspreiding, deur William Sealy Gosset (student)
Nie normale verspreiding, deur Spearman
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
0.1327
Swak positief
0.0292
Swak negatief
-0.0447
Swak negatief
-0.0916
Swak positief
0.0360
Swak positief
0.0089
Swak negatief
-0.0288
Answer 2-
Swak negatief
-0.0077
Swak negatief
-0.0446
Swak negatief
-0.0087
Swak positief
0.0041
Swak negatief
-0.0194
Swak negatief
-0.0051
Swak positief
0.0654
Answer 3-
Swak positief
0.0162
Swak negatief
-0.0170
Swak positief
0.0231
Swak negatief
-0.0256
Swak positief
0.0365
Swak negatief
-0.0279
Swak negatief
-0.0048
Answer 4-
Swak positief
0.0356
Swak positief
0.0586
Swak negatief
-0.0011
Swak negatief
-0.0347
Swak positief
0.0152
Swak negatief
-0.0374
Swak negatief
-0.0152
Answer 5-
Swak positief
0.0060
Swak positief
0.0423
Swak negatief
-0.0422
Swak positief
0.0091
Swak positief
0.0182
Swak negatief
-0.0092
Swak negatief
-0.0163
Answer 6-
Swak negatief
-0.0249
Swak negatief
-0.0012
Swak positief
0.0380
Swak positief
0.0008
Swak negatief
-0.0111
Swak positief
0.0176
Swak negatief
-0.0176
Answer 7-
Swak positief
0.0263
Swak positief
0.0376
Swak negatief
-0.0272
Swak negatief
-0.0342
Swak positief
0.0043
Swak positief
0.0141
Swak negatief
-0.0078
Answer 8-
Swak negatief
-0.0036
Swak positief
0.0039
Swak negatief
-0.0102
Swak negatief
-0.0383
Swak negatief
-0.0290
Swak positief
0.0531
Swak positief
0.0230
Answer 9-
Swak negatief
-0.0618
Swak positief
0.0406
Swak positief
0.0368
Swak positief
0.0549
Swak negatief
-0.0337
Swak negatief
-0.0112
Swak negatief
-0.0305


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


2023.12.09
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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