The 16 Personalities & their code

Analysists

Architect (INTJ): Imaginative, strategic thinkers, with a plan for everything

Logician (INTP): Innovative inventors with a thirst for knowledge

Commander (ENTJ): bold, imaginative and strong-willed leaders, always finding a way or making one

Debater (ENTP): Smart and curious thinkers who cannot resist challenge

Diplomats

Advocate (INFJ): Quiet and mystical, inspiring and idealists

Mediator (INFP): Poetic, kind and altruistic, eager to help good cause

Protagonist (ENFJ): Charismatic and inspiring leader, mesmerize their listeners

Campaigner (ENFP): Enthusiastic, creative, sociable, free spirit

Sentinels

Logistician (ISTJ): Practical and fact-minded, reliable

Defender (ISFJ): dedicated and warm protectors, ready to defend loved ones

Executive (ESTJ): administrators, unsurpassed at managing things or people

Consul (ESFJ): caring, social, and popular, eager to help

Explorers:

Virtuoso (ISTP): Bold and practical experimenters, master of all tools

Adventurer (ISFP): flexible and charming artists, ready to explore and experience something new

Entrepreneur (ESTP): Smart, energetic, perceptive

Entertainer (ESFP): Spontaneous, energetic, enthusiastic

The components of the personalities

Mind: Intro vs Extra

Traits defined by broader response to environments

Strength in reserve vs power of engagement

Energy: Intuitive vs Observant

What people are more likely to do with information gathered from world around them

Intuitive: rely on past and future potentials

Observant: interested in observable facts and more straightforward outcomes, avoid interpretation on what they see

Nature: Thinking vs Feeling

Extent to which we value emotions or rationality

Thinking: relies on the head

Feeling: relies on the heart

Tactics: Judging vs Prospecting

Reflects how people plan and deal with options they have

Judging: comfortable when course is ahead and well planned

Prospecting: Figuring things out as they go

Sample Sizes

person.code freq person.type freq.1 person freq.2 tactic freq.3 nature freq.4 energy freq.5 mind freq.6
ENFJ 48 Analyst 61 Adventurer 14 judging 153 feeling 166 intuitive 171 extravert 123
ENFP 21 Diplomat 116 Advocate 20 prospecting 111 thinking 98 observant 93 intravert 141
ENTJ 10 Explorer 42 Architecht 22 judging 153 feeling 166 intuitive 171 extravert 123
ENTP 11 Sentinel 43 Campaigner 20 prospecting 111 thinking 98 observant 93 intravert 141
ESFJ 14 Analyst 61 Commander 11 judging 153 feeling 166 intuitive 171 extravert 123
ESFP 4 Diplomat 116 Consul 14 prospecting 111 thinking 98 observant 93 intravert 141
ESTJ 8 Explorer 42 Debater 10 judging 153 feeling 166 intuitive 171 extravert 123
ESTP 7 Sentinel 43 Defender 18 prospecting 111 thinking 98 observant 93 intravert 141
INFJ 20 Analyst 61 Entertainer 5 judging 153 feeling 166 intuitive 171 extravert 123
INFP 28 Diplomat 116 Entrepreneur 6 prospecting 111 thinking 98 observant 93 intravert 141
INTJ 23 Explorer 42 Executive 8 judging 153 feeling 166 intuitive 171 extravert 123
INTP 10 Sentinel 43 Logician 10 prospecting 111 thinking 98 observant 93 intravert 141
ISFJ 18 Analyst 61 Logistician 11 judging 153 feeling 166 intuitive 171 extravert 123
ISFP 13 Diplomat 116 Mediator 28 prospecting 111 thinking 98 observant 93 intravert 141
ISTJ 12 Explorer 42 Protagonist 48 judging 153 feeling 166 intuitive 171 extravert 123
ISTP 17 Sentinel 43 Virtuoso 17 prospecting 111 thinking 98 observant 93 intravert 141

A1: On time (TRUE) vs late to meeting (FALSE)

TRUE: Extraverts, Judging FALSE: Intraverts, Prospecting

A2: social structure (TRUE) vs order (FALSE):

TRUE: Extroverts, Intuitive, Feelings FALSE: Introverts, Observant, Thinking

A3: Removing dangerous flora and fauna native to island to ensure colony survival (TRUE) vs colony success depends on everyones ability to acclimate to native environment (FALSE):

TRUE: Observant, Thinking, Judging FALSE: Intuitive, Thinking, Prospecting

A4: Sticking to known species of food crops and avoiding risk of using up resources to trial new species (TRUE) vs Taking a risk of trialing new species hoping to introduce more variety (FALSE)

TRUE: Observant, Thinking, Judging FALSE: Intuitive, Thinking, Prospecting

A5: Deciding to switch to new power network briefly slowing food production but increased power efficiency (TRUE) vs maintaining original power plan where food production is never slowed (FALSE)

TRUE: Intuitive, Thinking, Prospecting FALSE: Observant, Thinking, Judging

A6: deciging to investigate cause of mental health concerns (TRUE) vs deciding physical health is more of a priority (FALSE)

TRUE: FALSE:

A7: Risking a short-term spike in depression amongst colonists for long-term safety (TRUE) vs avoided decline in mental health by planting crop diversity (FALSE)

TRUE: FALSE:

A8: Built a new theatre for the children (TRUE) vs building sports facility for colonists (FALSE)

TRUE: FALSE:

A9: You relax alone (TRUE) vs have a drink with your team (FALSE)

TRUE: Introverts FALSE: Extroverts

A10: reinforced belief in colleague when she confessed her self doubts (TRUE) vs you admitted that you have self doubts at time (FALSE)

TRUE: FALSE:

A11: Lead with confidence despite doubts (TRUE) vs work hard to prove yourself as a capable leader (FALSE)

TRUE: FALSE:

A12: Decide to send 5 technicians to their death but save colony as a whole (TRUE) vs do not send technicians and cancer rates rise in your colony (FALSE)

TRUE: Observant, Thinking, Judging FALSE: Intuitive, Feeling, Prospecting

A13: ISSUE WITH QUESTION NOT SURE WHICH IS TRUE/FALSE OPTION

A14: Convert colony to free market (TRUE) vs remain as a socialist community (FALSE)

TRUE: FALSE:

A15: Limit birth rate to one child (TRUE) vs ensure reproductive freedom (FALSE)

TRUE: FALSE:

A16: allow genetic enhancements (TRUE) vs ban genetic enhancements (FALSE)

TRUE: FALSE:

A17: favour old traditions of earth (TRUE) vs make room for new traditions (FALSE)

TRUE: Observant, Thinking FALSE: Intuitive, Feeling

PCA - test

ethics.pca.code <- prcomp(ethic.pca[,c(1:16)], center=TRUE, scale=TRUE)
summary(ethics.pca.code)
## Importance of components:
##                           PC1    PC2     PC3     PC4     PC5     PC6     PC7
## Standard deviation     2.9274 1.3180 1.23006 1.03964 0.92601 0.84306 0.65460
## Proportion of Variance 0.5356 0.1086 0.09457 0.06755 0.05359 0.04442 0.02678
## Cumulative Proportion  0.5356 0.6442 0.73873 0.80628 0.85988 0.90430 0.93108
##                            PC8    PC9    PC10    PC11    PC12    PC13    PC14
## Standard deviation     0.56081 0.5440 0.42999 0.35623 0.30484 0.20430 0.16202
## Proportion of Variance 0.01966 0.0185 0.01156 0.00793 0.00581 0.00261 0.00164
## Cumulative Proportion  0.95074 0.9692 0.98079 0.98872 0.99453 0.99714 0.99878
##                          PC15    PC16
## Standard deviation     0.1324 0.04471
## Proportion of Variance 0.0011 0.00012
## Cumulative Proportion  0.9999 1.00000
ethics.pca.type <- prcomp(ethic.pca[,c(17:20)], center=TRUE, scale=TRUE)
summary(ethics.pca.type)
## Importance of components:
##                           PC1     PC2     PC3     PC4
## Standard deviation     1.8839 0.46783 0.37667 0.30040
## Proportion of Variance 0.8872 0.05472 0.03547 0.02256
## Cumulative Proportion  0.8872 0.94197 0.97744 1.00000
ethics.pca.personality <- prcomp(ethic.pca[,c(21:36)], center=TRUE, scale=TRUE)
summary(ethics.pca.personality)
## Importance of components:
##                           PC1    PC2     PC3    PC4     PC5     PC6     PC7
## Standard deviation     2.9620 1.3755 1.21731 1.0984 0.82492 0.78593 0.65340
## Proportion of Variance 0.5483 0.1182 0.09261 0.0754 0.04253 0.03861 0.02668
## Cumulative Proportion  0.5483 0.6666 0.75921 0.8346 0.87714 0.91575 0.94243
##                            PC8     PC9    PC10   PC11    PC12    PC13    PC14
## Standard deviation     0.51494 0.45228 0.43600 0.4060 0.21860 0.16638 0.12709
## Proportion of Variance 0.01657 0.01278 0.01188 0.0103 0.00299 0.00173 0.00101
## Cumulative Proportion  0.95900 0.97179 0.98367 0.9940 0.99696 0.99869 0.99970
##                           PC15    PC16
## Standard deviation     0.05775 0.03854
## Proportion of Variance 0.00021 0.00009
## Cumulative Proportion  0.99991 1.00000
ethics.pca.indv <- prcomp(ethic.pca[,c(37:44)], center=TRUE, scale=TRUE)
summary(ethics.pca.indv)
## Importance of components:
##                          PC1     PC2     PC3     PC4     PC5       PC6
## Standard deviation     2.768 0.45482 0.27877 0.19564 0.11372 4.736e-16
## Proportion of Variance 0.958 0.02586 0.00971 0.00478 0.00162 0.000e+00
## Cumulative Proportion  0.958 0.98388 0.99360 0.99838 1.00000 1.000e+00
##                              PC7       PC8
## Standard deviation     6.443e-17 3.253e-17
## Proportion of Variance 0.000e+00 0.000e+00
## Cumulative Proportion  1.000e+00 1.000e+00

Graph - Personality Code

ggbiplot(ethics.pca.code, labels=rownames(ethic.pca))

Graph - Personality Type

ggbiplot(ethics.pca.type,labels=rownames(ethic.pca))

Graph - 16 Personalities

ggbiplot(ethics.pca.personality, labels=rownames(ethic.pca))

Graph - Individual Types

ggbiplot(ethics.pca.indv, labels=rownames(ethic.pca))