What's your favorite food - pizza or broccoli?
What's your favorite hobby - dancing or reading? Do you love recess or story time more? We all have different tastes and interests that make us one-of-a-kind! This is because we each have a unique set of values.
Values are what matter most to you deep down inside - kind of like your very favorite hobbies and activities. Your values are like your favorite hobbies - some kids love to draw, others enjoy playing sports. Values shape how you see the world. They guide your thoughts, feelings, and actions.
People sometimes describe values by colors. The color shows what traits and motives someone finds most important. Dark red values love adventure. Blue values follow the rules. Orange values achieve goals. We each blend a mix of color values in our own way.
Many tests try to reveal a person's color values. One is the SDTEST®. It uses questions to uncover the values that drive our choices and priorities. Let's learn how it works!
The SDTEST® asks people to rate 5 statements about values and motivations. There are a few options to choose from for each statement. Pick the ending that best matches your values. There are no right or wrong answers! This is what the interface looks like, try selecting options.
After finishing all 5 statements, your choices are scored. The score shows your motivational values based on colors like red, blue, orange, green and others. The SDTEST® shows your color values, kind of like figuring out your interests and favorite activities.
Your color values are like an artist's palette. They blend together in your own unique way! The SDTEST® helps uncover the color mix that drives your thoughts and actions.
With five statements and multiple choices per statement, people can answer the SDTEST® in many ways!
It's like mixing paint colors. Take just three colors - red, yellow, and blue. You can blend them into so many shades! Add more colors, and the possibilities are endless.
Or think about building with blocks. With just a few different shaped blocks, you can build so many things! More blocks mean more options.
The SDTEST® has over 7,000 possible unique combinations of responses. That's like 7,000 unique color mixes for someone's motivational values!
It's more even than flavors at an ice cream shop. More than types of doughnuts at a bakery!
With so many options, everyone has unique color values, like how all kids have their own favorite hobbies and activities they love.
It's like snowflakes - each one is unique and special. We each have a one-of-a-kind motivational mix that makes us who we are!
With so many possible ways to answer the SDTEST®, you'd think everyone would have unique color mixes.
However, we were surprised that most people fit into just 7998 common groups. That's like most snowflakes having one of a few basic shapes, even though each is unique.
Out of over 86384 results from 171 countries, results clustered into these 7998 unique motivational patterns.
Most people blend their color values into a few primary shades rather than super-rare mixes. It's like a rainbow with a few major color bands.
This means the SDTEST® reveals core values shared by many people across cultures. Most of us blend main color motivations in familiar ways. Our values aren't as different as they seem!
Do you still love all the same toys, foods, and activities you did as a toddler? People grow and change, and so can values.
Think back to your first day of school. It seemed so big and scary! Now your school feels familiar. Your values shifted.
When life changes, our color values can change, too. A new experience might make you see the world differently.
For example, a new sibling could make the family more important. Moving schools could shift your focus to making friends. Values adapt as we learn and grow. Just like you might be into trains now but dolls when you were little, what motivates you can change as you grow.
The SDTEST® shows your motivational colors today. But don't expect them to stay the same forever! Like your height or shoe size, values change as you do.
The test gives clues about who you are and what's important. But in the future, you may have an expanded color palette!
Is there a top level of motivational values and colors? Some think there is an ultimate rainbow color called Turquoise.
Turquoise values seek a global vision, deep purpose, synthesis, and harmony with nature. Only 1 in 86384 results scored high 40% in Turquoise on the SDTEST®!
Reaching the peak is like climbing a tall mountain. Very few make it to the top. Those who do often can't stay there long.
First, in 2018, the user couldn't score 40% Turquoise.
Second, in 2018, the user scored 40% Turquoise.
But later, after five years in 2023, the user couldn't repeat that rare result.
Turquoise is the pinnacle few attain. Most of us blend more common color values as we climb life's path. Our journey brings growth, even if we can't reach the highest peak.
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.
Here is an expanded simple example of correlating the SDTEST® with another assessment:
Let's say 100 students take two tests - the SDTEST® and a "Favorite Subjects" poll.
The SDTEST® shows their motivational color values.
The "Favorite Subjects" poll asks them to rank school subjects from 1 (like least) to 5 (like most).
By matching up each student's results on both tests, we can look for patterns.
Students high in playful Yellow values may rank Arts & Crafts higher.
Students high in logical Orange values may rank Math higher.
Seeing these connections between color values and subject preferences gives deeper insights.
The SDTEST® shows values. The other poll shows what engages those values. Together, they reveal more about what motivates students.
Multiple tests create a fuller portrait, like mixing colors on an artist's palette. Combining assessments makes the picture richer!
The SDTEST® is a simple and fun way to uncover our unique motivational values. It mixes life priorities like colors on a palette to paint a picture of what matters most to us.
While most people blend common color value patterns, each result is one-of-a-kind. Our values make us who we are, but we also grow and adapt as life changes.
Very few ever reach the highest Turquoise level of motivational development, just like few can climb to the peak of a tall mountain.
But the journey brings growth, even if the top remains distant. The SDTEST® helps us better understand ourselves and others on this lifelong path of self-discovery.
1) Ketso tsa lik'hamphani tse mabapi le basebetsi khoeling ea ho qetela (e / che) 2) Ketso tsa lik'hamphani tse mabapi le basebetsi khoeling ea ho qetela (e 'nete ea%) 3) Tšabo 4) Mathata a maholo a tobaneng le naha ea ka 6) Google. Lintlha tse amang sehlopha se sebetsang le sehlopha 7) Lintho tse ka sehloohong tse tlang pele 8) Ke eng e etsang mookameli e motle? 9) Ke eng e etsang hore batho ba atlehe mosebetsing? 10) Na u se u loketse ho fumana moputso o fokolang hore o sebetse hole? 14) Lisosa tsa Age 15) Mabaka a etsang hore batho ba inehele (ke Anna ba bohlokoa) 16) Tšepa (#WVS) 17) Tlhahlobo ea thabo ea Oxford 18) Bophelo bo botle ba kelello 19) Monyetla o latelang o ne o tla ba kae? 20) U tla etsa eng bekeng ena ho hlokomela bophelo ba hau ba kelello? 21) Ke phela ka ho nahana ka nako e fetileng, ea hona joale kapa ea bokamoso 22) Meritocracy 23) Bohlale ba maiketsetso le pheletso ea tsoelo-pele 24) Hobaneng ha batho ba lieha? 25) Phapang ea bong ho aha boitšepo (IFD Allensbach) 26) Xing.com Tlhahlobo ea setso 27) Patrick Lecioli's "ho bapala tse hlano tsa sehlopha" 29) Ke eng ea bohlokoa bakeng sa eona e ikhethang ha u khetha tlhahiso ea mosebetsi? 30) Hobaneng ha batho ba hana liphetoho (ke Siobhán Mchale) 31) U laola maikutlo a hau joang? (ke Nawal MealAFA M.A.) 32) 21 Tsebo e lefang ka ho sa feleng (ka Jeremia Teo / 赵汉昇) 34) Mekhoa e 12 ea ho aha ts'epo ea ho ts'epa 35) Litšobotsi tsa mohiruoa ea nang le talenta (ka instant actite ea Talenta) 36) 10 Litsela tsa ho susumetsa sehlopha sa hau 37) Algebra ea Letsoalo (ea Vladimir Lefebvre) 38) Menyetla e meraro e Ikhethang ea Bokamoso (ka Dr. Clare W. Graves) 39) Liketso tsa ho aha ho itšepa ho sa sisinyeheng (ka Suren Samarchyan)
| TLHOKOMELISO | Seseng se tloaelehileng | Seseng se tloaelehileng | Seseng se tloaelehileng | Tloaelehileng | Tloaelehileng | Tloaelehileng | Tloaelehileng | Tloaelehileng |
|
Lipotso tsohle
Lipotso tsohle
Tšabo ea ka e kholo ke
| ||||||||
| Tšabo ea ka e kholo ke | ||||||||
| Answer 1 | - | Fokolang positive 0.0526 | Fokolang positive 0.0260 | Fokolang mpe -0.0183 | Fokolang positive 0.0946 | Fokolang positive 0.0358 | Fokolang mpe -0.0143 | Fokolang mpe -0.1540 |
| Answer 2 | - | Fokolang positive 0.0175 | Fokolang mpe -0.0058 | Fokolang mpe -0.0388 | Fokolang positive 0.0668 | Fokolang positive 0.0496 | Fokolang positive 0.0117 | Fokolang mpe -0.0970 |
| Answer 3 | - | Fokolang mpe -0.0035 | Fokolang mpe -0.0091 | Fokolang mpe -0.0441 | Fokolang mpe -0.0435 | Fokolang positive 0.0478 | Fokolang positive 0.0747 | Fokolang mpe -0.0200 |
| Answer 4 | - | Fokolang positive 0.0414 | Fokolang positive 0.0257 | Fokolang mpe -0.0232 | Fokolang positive 0.0188 | Fokolang positive 0.0356 | Fokolang positive 0.0249 | Fokolang mpe -0.0993 |
| Answer 5 | - | Fokolang positive 0.0226 | Fokolang positive 0.1270 | Fokolang positive 0.0111 | Fokolang positive 0.0773 | Fokolang mpe -0.0008 | Fokolang mpe -0.0177 | Fokolang mpe -0.1772 |
| Answer 6 | - | Fokolang mpe -0.0057 | Fokolang positive 0.0040 | Fokolang mpe -0.0620 | Fokolang mpe -0.0076 | Fokolang positive 0.0246 | Fokolang positive 0.0860 | Fokolang mpe -0.0351 |
| Answer 7 | - | Fokolang positive 0.0082 | Fokolang positive 0.0329 | Fokolang mpe -0.0653 | Fokolang mpe -0.0294 | Fokolang positive 0.0519 | Fokolang positive 0.0693 | Fokolang mpe -0.0520 |
| Answer 8 | - | Fokolang positive 0.0627 | Fokolang positive 0.0709 | Fokolang mpe -0.0265 | Fokolang positive 0.0134 | Fokolang positive 0.0376 | Fokolang positive 0.0181 | Fokolang mpe -0.1337 |
| Answer 9 | - | Fokolang positive 0.0710 | Fokolang positive 0.1600 | Fokolang positive 0.0074 | Fokolang positive 0.0646 | Fokolang mpe -0.0109 | Fokolang mpe -0.0487 | Fokolang mpe -0.1817 |
| Answer 10 | - | Fokolang positive 0.0739 | Fokolang positive 0.0654 | Fokolang mpe -0.0147 | Fokolang positive 0.0296 | Fokolang positive 0.0318 | Fokolang mpe -0.0126 | Fokolang mpe -0.1357 |
| Answer 11 | - | Fokolang positive 0.0627 | Fokolang positive 0.0522 | Fokolang mpe -0.0096 | Fokolang positive 0.0108 | Fokolang positive 0.0250 | Fokolang positive 0.0244 | Fokolang mpe -0.1268 |
| Answer 12 | - | Fokolang positive 0.0431 | Fokolang positive 0.0920 | Fokolang mpe -0.0336 | Fokolang positive 0.0339 | Fokolang positive 0.0327 | Fokolang positive 0.0254 | Fokolang mpe -0.1537 |
| Answer 13 | - | Fokolang positive 0.0685 | Fokolang positive 0.0956 | Fokolang mpe -0.0394 | Fokolang positive 0.0308 | Fokolang positive 0.0405 | Fokolang positive 0.0148 | Fokolang mpe -0.1628 |
| Answer 14 | - | Fokolang positive 0.0779 | Fokolang positive 0.0883 | Fokolang mpe -0.0001 | Fokolang mpe -0.0092 | Fokolang positive 0.0046 | Fokolang positive 0.0135 | Fokolang mpe -0.1225 |
| Answer 15 | - | Fokolang positive 0.0537 | Fokolang positive 0.1267 | Fokolang mpe -0.0337 | Fokolang positive 0.0152 | Fokolang mpe -0.0175 | Fokolang positive 0.0234 | Fokolang mpe -0.1158 |
| Answer 16 | - | Fokolang positive 0.0689 | Fokolang positive 0.0247 | Fokolang mpe -0.0371 | Fokolang mpe -0.0383 | Fokolang positive 0.0702 | Fokolang positive 0.0203 | Fokolang mpe -0.0791 |
