MBTI Research into Distribution of Type (2nd edition)

Transcription

Ashridge MBTI research into distribution
of type
By Melissa Carr, Judy Curd, Fiona Dent
Alex Davda and Naomi Piper
Second edition
Ashridge Business School
http://www.ashridge.org.uk
Ashridge MBTI Research into distribution of type
Contents
Section 1:
Background of the MBTI1
The data1
Aims of the research2
The findings2
Recommended reading5
Section 2:
Type Tables6
Ashridge Management Type Research
Background of the MBTI
One of the most widely used personality instruments, the Myers-Briggs Type
Indicator provides a useful tool for understanding differences between people.
The instrument offers individuals an insight into where they get their energy from,
how they take in information and make decisions, and the way they prefer to live
their lives.
The tool has many different applications including helping people to understand
why they may find some occupations more rewarding than others and why
certain roles can provide frustrations. Each of the 16 types has its own strengths
and areas for development; however, it does not give an indicator of skills or
abilities. The MBTI only really adds value when used in a developmental setting.
The MBTI has been used world-wide across many different languages and
cultures. Research has suggested that type theory is meaningful across all
cultures but the expression and interpretation of behaviours will vary according
to culture (Kendall, 1998). This means that it is particularly useful in global
management development and can be used with audiences other than the white,
middle class Americans on which the original research was based.
The MBTI has a long history and many people have written and researched
about the development and application of type. Ashridge research aims to build
upon some of these previous studies: specifically, the 1998 research project
carried out by Oxford Psychologists Press (Kendall, 1998), which has been used
as a basis for comparison with the Ashridge data. This research, which was part
of the validation study of the UK form of the MBTI, presented the first type tables
for the UK population. The OPP study aims to provide ‘an important benchmark
for many research initiatives such as exploring similarities and differences with
other countries and cultures’ (Kendall, 1998, p5). The Ashridge study aims to
develop and build upon some of these research initiatives.
The data
Ashridge, one of the world’s leading business schools, delivers executive
education and development to individuals and organisations. As well as having
a comprehensive portfolio of open programmes, Ashridge provides tailored
programmes to a range of client organisations that span all industry sectors.
Every year, about 5000 managers attend programmes at Ashridge; of these
42% are international programme participants. Many of these programmes have
aspects of individual and team development for which participants complete
a range of psychometric instruments, one of which is the MBTI. The data was
collected from managers who have attended a variety of the programmes.
The research was carried out in January 2011 using the reported types of over
22,000 managers who have attended both open and tailored executive education
programmes in the past ten years. When the data was collected, permission was
sought to use the findings for research purposes, and all data was anonymised.
11
The sample population
Subjects in this research were all participants on management development
programmes at Ashridge from 2000 to 2010. The participants ranged in age from
20 to 78. Management levels ranged from junior manager to senior executive
and chief executive. The participants in this sample population came from
116 different countries: 96% were European, with 52% of the total population
coming from the UK. The gender split was 76% male and 22% female with 2%
unspecified. The largest individual industry sectors are manufacturing with 24%,
and public sector workers with 25% of the sample population.
Aims of research
The research had the following aims, the findings of which are summarised later:
n to build on previous research and explore further some of the differences that
exist in the distribution of types
n to compare managerial type tables with the UK population and examine
differences that exists. Anecdotal evidence suggested that some types
more than others seemed to appear in management. The research aimed to
discover the extent to which this is true and, if this is the case, which were the
more prevalent
n previous research has suggested that there are some gender differences
in the MBTI, specifically around the dichotomies of Thinking and Feeling
(Kendall, 1998). This research aimed to see if these patterns still held true
when looking at a managerial population
n limited research has examined differences in type distribution within Europe.
This research aimed to see if there were any significant differences in the
distribution of type for European managers
n again, limited research is available about the distribution of managers across
industry sector. This research aimed to go some way to providing this data
n finally, to provide resources for MBTI users to use with their clients both
individually and at an organisational level.
The findings
The MBTI is different from many other psychometric instruments in that it is not
normative; therefore it is more useful to look at whole types and the frequency
with which they appear in different populations. Research has been carried out
on the population distribution of type within the UK (Kendall, 1998) and this
study aimed to extend this by looking at type distributions for managers across
different countries and industries.
To be able to make conclusions on whether a certain group of people differ
significantly in the type distribution to the general population, we used a formula
called the Self Selection Ratio (SSR). This calculates whether a certain type is
more or less likely to self-select into an area than would be suspected. A score
of greater than one means that more of that type than would be expected are
found in this area, a score of less than one shows an under-representation of
this type, while a score of one means you would find as many as the general
population mean.
2
n Modal types
The modal type for Ashridge’s management population is ESTJ (22.5%), followed
by ENTJ, ISTJ and ENTP. The least frequent types are ISFP, INFJ, ESFP and
INFP.
This demonstrates the most pronounced findings; the under-representation of
people with a Feeling preference in management. 86% of Ashridge managers
had a reported Thinking preference compared to the general population where
46% had this reported type. Also pronounced was the difference in Sensing and
Intuition; in the management population, this was split 50/50: however, in a UK
population only 23% of people report a preference for Intuition.
n Gender differences
In the UK population, the Thinking-Feeling dichotomy is the only one that
shows some gender differences, with women being more likely to report a
Feeling preference than men (70% women compared to 35% men). This
pattern does not hold true for a managerial population, where more women
(76%) had a reported preference for Thinking. This is the same pattern that
male managers display. This finding would provide the basis for interesting
research into why this occurs; are women managers more similar to their
male counterparts, or do they adopt behaviours that they see as the norm in a
managerial population?
n European differences
The UK managerial patterns are also true when looking at Europe. Across
the European countries represented in the type tables, the modal types seem
to be ESTJ, ENTJ and ISTJ followed by ENTP. Over half of all European
managers had a TJ preference.
n Industry differences
Industry sector type tables were calculated by breaking down the total
Ashridge type table into industry sectors. Self-selection ratios were used to
look at how specific industry sectors compared to the general managerial
population. For most industries there were no significant differences in type
distribution according to the industry sector. Some differences did occur:
for example, in retail, ENTP was over-represented compared to the general
managerial population. However the modal types still remained the same with
ESTJ, ENTJ and ISTJ dominant.
An accurate reflection
of my type
ISTJ Product Development Manager,
API Group Plc
3
Summary of findings
The research showed that there are differences in the type distributions of
managers compared to a UK population, more specifically:
n Some types are more prevalent than others in management and these seem
to be largely focused in the four corners of the type table (ESTJ, ENTJ, ISTJ
and INTJ)
n Gender differences do not appear to exist in a managerial population, with
as many male managers reporting to have a Thinking preference as female
managers. The striking difference though is in the prevalence of managers
generally reporting to have a Thinking preference and the under-representation
of managers with a Feeling preference.
n Type tables for European managers show no significant difference in profiles
across different countries
n There does not appear to be a significant difference in managerial types
across different industry sectors.
Conclusion
The main aim of the research was to provide type practitioners with up-to-date
type tables. The research indicated that there are some significant differences in
the types found in management compared to the general UK population.
The Ashridge study has raised some interesting questions that could form the
basis for further research. For instance, the research was based on reported
types and it would be useful to see how this may differ from their ‘best-fit’.
More specifically, looking at some of the biases that seem to occur, it would be
valuable to gain an understanding of whether managers are recognising that in
order to cope with a managerial role, they need to develop the ability to behave
in ways typically reported for ESTJ, ENTJ, ISTJ or ENTP types.
4
Recommended reading
n Briggs Myers, Isabel and Myers, Peter B. (1995) Gifts Differing, Understanding
Personality Type,
Davies Black Publishing
n Kendall, Elizabeth. (1998) Myers Briggs Type Indicator European English
Editions Manual Supplement, OPP Ltd.
n Krebs Hirsh, Sandra and Kummerow, Jean M. (1990) Introduction To Type In
Organisations,
CPP Inc, USA
n Kroeger, O and Thuesen, J.M. (1988) Type Talk, Dell Publishing, USA.
n Myers, Katherine D, and Kirby, Linda K. (1994) Introduction to Type Dynamics
and Development,
CPP Inc, USA
n Myers, S. (1995) Influencing People Using Myers Briggs, Team Technology UK
n Rogers, Jenny. (1997) Sixteen Personality Types At Work In Organisations,
Cambridge Management Centres plc and Management Futures Ltd.
5
Table 1: Ashridge managerial type:
All data
(n = 22,783)
ISTJ
3229
14.2%
SSR = 1.03
ISFJ
360
1.6%
SSR = .13
INFJ
202
0.9%
SSR = .52
INTJ
1633
7.2%
SSR = 5.14
ISTP
859
3.8%
SSR = .59
ISFP
133
0.6%
SSR = .09
INFP
305
1.3%
SSR = .40
INTP
1277
5.6%
SSR = 2.33
ESTP
1354
5.9%
SSR = 1.01
ESFP
248
1.1%
SSR = .12
ENFP
814
3.6%
SSR = 0.57
ENTP
2571
11.3%
SSR = 4.03
ESTJ
5118
22.5%
SSR = 2.16
ESFJ
639
2.8%
SSR = .22
ENFJ
598
2.6%
SSR = .92
ENTJ
3443
15.0%
SSR = 5.20
Very insightful
ESFP HR Manager,
Publishing House
6
Dichotomous pairs
E 1478564.89%
I 799835.11%
S1194052.41%
N1084347.59%
T 1948485.52%
F 329914.48%
J 1522266.81%
P 756133.19%
Pairs and temperaments
IJ 542423.81%
IP 257411.30%
EP498721.89%
EJ 979843.01%
TJ1342358.92%
TP606126.60%
FP1500 6.58%
FJ 1799 7.90%
ST1056046.35%
SF 1380 6.06%
NF1919 8.42%
NT892439.17%
IN 341715.00%
EN742632.59%
IS 458120.11%
ES735932.30%
SJ 934641.02%
SP259411.39%
NP496721.80%
NJ587625.79%
ET1248654.80%
EF229910.09%
IF 1000 4.39%
IT 699830.72%
This table represents the distribution of the 16 MBTI types for 22783 participants
on Ashridge development programmes from 2000 to 2010. The population is made
up of 17272 males and 4968 females, with 543 participants unspecified. The ages
range from 20 to 78 and they come from 116 different countries.
The most common reported types are:
ESTJ22.5%
ENTJ15.1%
ISTJ14.2%
ENTP11.3%
63.1%
7
Males
(n = 17,272)
ISTJ
2593
15.0%
SSR = .76
ISFJ
219
1.3%
SSR = .19
INFJ
124
0.7%
SSR = .45
INTJ
1300
7.5%
SSR = 3.0
ISTP
715
4.1%
SSR = .38
ISFP
77
0.4%
SSR = .11
INFP
217
1.3%
SSR = .36
INTP
1008
5.8%
SSR = 1.41
ESTP
1085
6.3%
SSR = .77
ESFP
149
0.9%
SSR = .15
ENFP
524
3.0%
SSR = .59
ENTP
1950
11.3%
SSR = 3.14
ESTJ
3982
23.1%
SSR = 1.99
ESFJ
349
2.0%
SSR = .33
ENFJ
346
2.0%
SSR = 1
ENTJ
2634
15.3%
SSR = 3.56
I would say that the
MBTI type did provide
an accurate description
ESTJ Research Fellow,
University of Manchester
8
Dichotomous pairs
E 1101963.80%
I 625336.20%
S 916953.09%
N 810346.91%
T 1526788.39%
F 200511.61%
J 1154766.85%
P 572533.15%
IJ 423624.53%
IP 201711.68%
EP370821.47%
EJ 731142.33%
TJ1050960.84%
TP475827.55%
FP 967 5.60%
FJ 1038 6.01%
ST837548.49%
SF 794 4.60%
NF1211 7.01%
NT689239.90%
IN 264915.34%
EN545431.58%
IS 360420.87%
ES556532.22%
SJ 714341.36%
SP202611.73%
NP369921.42%
NJ440425.50%
ET965155.88%
EF 1368 7.92%
IF 637 3.69%
IT 561632.52%
This table represents the distribution of the 16 MBTI types for the 17272 male
participants on Ashridge development programmes from 2000 to 2010. They make
up 76% of the sample population. Ages range from 20 to 78 and they come from
113 different countries.
ESTJ23.1%
ENTJ15.3%
ISTJ15.0%
ENTP11.3%
64.7%
9
Females
(n = 4,968)
ISTJ
538
10.8%
SSR = 1.26
ISFJ
135
2.7%
SSR = .15
INFJ
71
1.4%
SSR = .82
INTJ
299
6.0%
SSR = 12
ISTP
133
2.7%
SSR = 1.08
ISFP
52
1.0%
SSR =.12
INFP
82
1.7%
SSR = .60
INTP
242
4.9%
SSR = 4.9
ESTP
239
4.8%
SSR = 1.27
ESFP
95
1.9%
SSR = .17
ENFP
269
5.4%
SSR = .72
ENTP
559
11.3%
SSR = 5.38
ESTJ
1025
20.7%
SSR = 2.17
ESFJ
268
5.4%
SSR = .29
ENFJ
230
4.6%
SSR = 1.35
ENTJ
731
14.7%
SSR = 8.64
Hugely useful for
Putting leadership
qualities in context
ENTP Consultant Surgeon,
University of Liverpool
10
Dichotomous pairs
E 341668.76%
I 155231.24%
S 248550.02%
N 248349.98%
T 376675.81%
F 120224.19%
J 329766.36%
P 167133.64%
IJ 104320.99%
IP 50910.25%
EP116223.39%
EJ 225445.37%
TJ 259352.19%
TP117323.61%
FP 49810.02%
FJ 70414.17%
ST193538.95%
SF 55011.07%
NF 65213.12%
NT183136.86%
IN 69413.97%
EN178936.01%
IS 85817.27%
ES162732.75%
SJ 196639.57%
SP 51910.45%
NP115223.19%
NJ133126.79%
ET255451.41%
EF 86217.35%
IF 340 6.84%
IT 121224.40%
This table represents the distribution of the 16 MBTI types for the 4968 female
up 20% of the sample population. Ages range from 21 to 62 and they come from
76 different countries.
ESTJ20.6%
ENTJ14.7%
ENTP11.3%
ISTJ10.8%
57.4%
11
Belgium
(n = 278)
ISTJ
n = 38
13.8%
SSR = 1.31
ISFJ
n=5
1.8%
SSR = .75
INFJ
n=1
0.4%
SSR = .4
INTJ
n = 25
9.0%
SSR = 2.4
ISTP
n=4
1.4%
SSR = 2.42
ISFP
n=4
1.4%
SSR = 1.27
INFP
n=0
0.0%
SSR = 0
INTP
n = 15
5.4%
SSR = 1.54
ESTP
n = 25
9.0%
SSR = 1.23
ESFP
n=4
1.4%
SSR = .42
ENFP
n=4
1.4%
SSR = .23
ENTP
n = 37
13.3%
SSR = 1.22
ESTJ
n = 69
24.8%
SSR = 1.15
ESFJ
n=6
2.2%
SSR = .36
ENFJ
n=5
1.8%
SSR = .45
ENTJ
n = 36
12.9%
SSR = .92
MBTI well presented
and consistent
ENFP Director of Specialist lines,
MMA Insurance Group
12
Dichotomous pairs
E
I
18666.91%
9233.09%
S
N
15555.76%
12344.24%
T
F
24989.57%
2910.43%
J
P
18566.55%
9333.45%
IJ
6924.82%
IP 23 8.27%
EP 7025.18%
EJ 11641.73%
TJ 16860.43%
TP 8129.14%
FP 12 4.32%
FJ 17 6.12%
ST 13648.92%
SF 19 6.83%
NF 10 3.60%
NT 11340.65%
IN 4114.75%
EN 8229.50%
IS 5118.35%
ES 10437.41%
SJ 11842.45%
SP 3713.31%
NP 5620.14%
NJ 6724.10%
ET 16760.07%
EF 19 6.83%
IF
10 3.60%
IT
8229.50%
This table represents the distribution of the 16 MBTI types for the 278 Belgium
up 1.2% of the sample population. Ages range from 26 to 58. There were 222
male and 56 female participants.
ESTJ24.8%
ISTJ13.7%
ENTP13.3%
ENTJ12.9%
64.7%
13
Germany
(n = 2,132)
ISTJ
n = 270
12.7%
SSR = 1.02
ISFJ
n = 12
0.6%
SSR = .35
INFJ
n=7
0.3%
SSR = .27
INTJ
n = 102
4.7%
SSR = .83
ISTP
n = 64
3.0%
SSR = 1.11
ISFP
n=6
0.3%
SSR = .43
INFP
n = 19
0.9%
SSR = 2.64
INTP
n = 76
3.6%
SSR = 1.16
ESTP
n = 142
6.7%
SSR = 1.31
ESFP
n = 12
0.6%
SSR = .35
ENFP
n = 65
3.0%
SSR = .83
ENTP
n = 195
9.1%
SSR = 1.04
ESTJ
n = 639
30.0%
SSR = 1.20
ESFJ
n = 39
1.8%
SSR = .36
ENFJ
n = 66
3.1%
SSR = .68
ENTJ
n = 418
19.6%
SSR = 1.07
Fascinating and very useful
ISTP Procurement Officer,
Civil Service
14
Dichotomous pairs
E 157673.92%
I
55626.08%
S 118455.53%
N 94844.47%
T 190689.40%
F 22610.60%
J 155372.84%
P 57927.16%
IJ 39118.34%
IP 165 7.74%
EP 41419.42%
EJ 116254.50%
TJ 142967.03%
TP 47722.37%
FP 102 4.78%
FJ 124 5.82%
ST111552.30%
SF 69 3.24%
NF 157 7.36%
NT 79137.10%
IN
EN
IS
ES
SJ
SP
NP
NJ
96045.03%
22410.51%
35516.65%
59327.81%
204 9.57%
74434.90%
35216.51%
83239.02%
ET139465.38%
EF 182 8.54%
IF
44 2.06%
IT 51224.02%
This table represents the distribution of the 16 MBTI types for the 2132 German
male and 233 female participants, with 18 participants unspecified.
ESTJ30.0%
ENTJ19.6%
ISTJ12.7%
ENTP9.1%
71.4%
15
France
(n = 542)
ISTJ
n = 74
13.7%
SSR = 1.08
ISFJ
n = 10
1.8%
SSR = .46
INFJ
n=3
0.6%
SSR = .31
INTJ
n = 46
8.5%
SSR = 1.88
ISTP
n = 26
4.8%
SSR = 1.33
ISFP
n=4
0.7%
SSR = .41
INFP
n = 14
2.6%
SSR = .92
INTP
n = 21
3.9%
SSR = .82
ESTP
n = 47
8.7%
SSR = 1.58
ESFP
n=8
1.5%
SSR = .42
ENFP
n = 26
4.7%
SSR = .83
ENTP
n = 49
9.0%
SSR = 1.29
ESTJ
n = 114
21.0%
SSR = .98
ESFJ
n = 23
4.2%
SSR = .6
ENFJ
n = 16
3.0%
SSR = .73
ENTJ
n = 61
11.3%
SSR = 1.08
16
Dichotomous pairs
E
I
34463.47%
19836.53%
S
N
30656.46%
23643.54%
T
F
43880.81%
10419.19%
J
P
34764.02%
19535.98%
IJ 13324.54%
IP 6511.99%
EP 13023.99%
EJ 21439.48%
TJ 29554.43%
TP 14326.38%
FP 52 9.59%
FJ 52 9.59%
ST 26148.15%
SF 45 8.30%
NF 5910.89%
NT 17732.66%
IN 8415.50%
EN 15228.04%
IS 11421.03%
ES 19235.42%
SJ 22140.77%
SP 8515.68%
NP 11020.30%
NJ 12623.25%
ET 27150.00%
EF 7313.47%
IF
31 5.72%
IT 16730.81%
This table represents the distribution of the 16 MBTI types for the 542 French
ESTJ21.0%
ISTJ13.7%
ENTJ11.3%
ENTP9.0%
55%
17
Italy
(n = 293)
ISTJ
n = 38
13.0%
SSR = .87
ISFJ
n=3
1.0%
SSR = .33
INFJ
n=2
0.7%
SSR = .39
INTJ
n = 22
7.5%
SSR = 1.33
ISTP
n = 12
4.1%
SSR = 1.58
ISFP
n=2
0.7%
SSR = .63
INFP
n=5
1.7%
SSR = 1.21
INTP
n = 10
3.4%
SSR = .85
ESTP
n = 15
5.1%
SSR = 1.30
ESFP
n=5
1.7%
SSR = 1.13
ENFP
n = 11
3.8%
SSR = .95
ENTP
n = 31
10.6%
SSR = 1.68
ESTJ
n = 69
23.5%
SSR = .99
ESFJ
n=7
2.4%
SSR = .4
ENFJ
n=7
2.4%
SSR = .48
ENTJ
n = 54
18.4%
SSR = 1.18
MBTI is very revealing,
and when one reflects, spot on
INFJ Training Officer,
Civil Service
18
Dichotomous pairs
E
I
19967.92%
9432.08%
S
N
15151.54%
14248.46%
T
F
25185.67%
4214.33%
J
P
20268.94%
9131.06%
IJ
6522.18%
IP 29 9.90%
EP 6221.16%
EJ 13746.76%
TJ 18362.46%
TP 6823.21%
FP 23 7.85%
FJ 19 6.48%
ST 13445.73%
SF 17 5.80%
NF 25 8.53%
NT 11739.93%
IN 3913.31%
EN 10335.15%
IS 5518.77%
ES 9632.76%
SJ 11739.93%
SP 3411.60%
NP 5719.45%
NJ 8529.01%
ET 16957.68%
EF 3010.24%
IF
12 4.10%
IT
8227.99%
This table represents the distribution of the 16 MBTI types for the 293 Italian
ESTJ23.5%
ENTJ18.4%
ISTJ13.0%
ENTP10.6%
65.5%
19
Irish Republic
(n = 494)
ISTJ
n = 81
16.4%
SSR = 1.43
ISFJ
n = 15
3.0%
SSR = .90
INFJ
n=8
1.6%
SSR = .68
INTJ
n = 24
4.9%
SSR = 1.02
ISTP
n = 17
3.4%
SSR = 1.09
ISFP
n=4
0.8%
SSR = .88
INFP
n=5
1.0%
SSR = .66
INTP
n = 33
6.8%
SSR = 1.7
ESTP
n = 32
6.5%
SSR = 1.03
ESFP
n=8
1.6%
SSR = .64
ENFP
n = 18
3.7%
SSR = .72
ENTP
n = 46
9.3%
SSR = .99
ESTJ
n = 115
23.3%
SSR = 1.07
ESFJ
n = 20
4.0%
SSR = .49
ENFJ
n = 10
2.0%
SSR = .43
ENTJ
n = 58
11.7%
SSR = .95
My MBTI type is a mirror
of my true self
ESTJ Operations Maintenace Manager,
Shell Nigerian Gas Ltd
20
Dichotomous pairs
E
I
30762.15%
18737.85%
S
N
29259.11%
20240.89%
T
F
40682.19%
8817.81%
J
P
33167.00%
16333.00%
IJ 12825.91%
IP 5911.94%
EP 10421.05%
EJ 20341.09%
TJ 27856.28%
TP 12825.91%
FP 35 7.09%
FJ 5310.73%
ST 24549.60%
SF 47 9.51%
NF 41 8.30%
NT 16132.59%
IN 7014.17%
EN 13226.72%
IS 11723.68%
ES 17535.43%
SJ 23146.76%
SP 6112.35%
NP 10220.65%
NJ 10020.24%
ET 25150.81%
EF 5611.34%
IF
32 6.48%
IT 15531.38%
This table represents the distribution of the 16 MBTI types for the 494 Irish
male and 119 female participants, with 14 paricipants unspecified.
ESTJ23.3%
ISTJ16.4%
ENTJ11.7%
ENTP9.3%
60.7%
21
The Netherlands
(n = 1,023)
ISTJ
n = 90
8.7%
SSR = .96
ISFJ
n=7
0.7%
SSR = .24
INFJ
n=2
0.2%
SSR = .25
INTJ
n = 42
4.1%
SSR = 1.70
ISTP
n = 36
3.5%
SSR = .87
ISFP
n=6
0.6%
SSR = .42
INFP
n = 15
1.5%
SSR = .83
INTP
n = 48
4.7%
SSR = 1.20
ESTP
n = 106
10.4%
SSR = 1.14
ESFP
n = 18
1.8%
SSR = .4
ENFP
n = 59
5.8%
SSR = .73
ENTP
n = 191
18.7%
SSR = 1.43
ESTJ
n = 215
21.0%
SSR = 1.13
ESFJ
n = 30
2.9%
SSR = .41
ENFJ
n = 16
1.6%
SSR = .43
ENTJ
n = 142
13.8%
SSR = 1.37
MBTI is very useful for me with very
interesting points which I am sure will
be to the benefit of my career
ESTJ Director,
Eureko Sigorta
22
Dichotomous pairs
E
I
77775.95%
24624.05%
S
N
50849.66%
51550.34%
T
F
87085.04%
15314.96%
J
P
54453.18%
47946.82%
IJ
IP
EP
EJ
14113.78%
10510.26%
37436.56%
40339.39%
TJ 48947.80%
TP 38137.24%
FP 98 9.58%
FJ 55 5.38%
ST 44743.70%
SF 61 5.96%
NF 92 8.99%
NT 42341.35%
SJ
SP
NP
NJ
IN
EN
IS
ES
34233.43%
16616.23%
31330.60%
20219.75%
10710.46%
40839.88%
13913.59%
36936.07%
ET 65463.93%
EF 12312.02%
IF
30 2.93%
IT 21621.11%
This table represents the distribution of the 16 MBTI types for the 1023 Dutch
ESTJ21.0%
ENTP18.7%
ENTJ13.9%
ESTP10.4%
64%
23
Spain
(n = 242)
ISTJ
n = 43
17.8%
SSR = 1.47
ISFJ
n=1
0.4%
SSR = .4
INFJ
n=3
1.2%
SSR = 2.4
INTJ
n = 10
4.1%
SSR = .91
ISTP
n=9
3.7%
SSR = 1.54
ISFP
n=2
0.8%
SSR = .4
INFP
n=2
0.8%
SSR = 1.6
INTP
n=9
3.7%
SSR = .97
ESTP
n = 17
7.0%
SSR = 1.07
ESFP
n=2
0.8%
SSR = .88
ENFP
n=4
1.7%
SSR = 1.21
ENTP
n = 20
8.3%
SSR = .91
ESTJ
n = 81
33.5%
SSR = .91
ESFJ
n=4
1.7%
SSR = .89
ENFJ
n=7
2.9%
SSR = 2.07
ENTJ
n = 28
11.6%
SSR = .65
24
Dichotomous pairs
E
I
16367.36%
7932.64%
S
N
15965.70%
8334.30%
T
F
21789.67%
2510.33%
J
P
17773.14%
6526.86%
IJ
5723.55%
IP 22 9.09%
EP 4317.77%
EJ 12049.59%
TJ 16266.94%
TP 5522.73%
FP 10 4.13%
FJ 15 6.20%
ST 15061.98%
SF
9 3.72%
NF 16 6.61%
NT 6727.69%
IN 24 9.92%
EN 5924.38%
IS 5522.73%
ES 10442.98%
SJ 12953.31%
SP 3012.40%
NP 3514.46%
NJ 4819.83%
ET 14660.33%
EF 17 7.02%
IF
8 3.31%
IT
7129.34%
This table represents the distribution of the 16 MBTI types for the 242 Spanish
ESTJ33.5%
ISTJ17.8%
ENTJ11.6%
ENTP8.3%
71.2%
25
Sweden
(n = 586)
ISTJ
n = 60
10.2%
SSR = .89
ISFJ
n = 11
1.9%
SSR = .28
INFJ
n=6
1.0%
SSR = .41
INTJ
n = 11
1.9%
SSR = 1.9
ISTP
n = 19
3.2%
SSR = .58
ISFP
n=4
0.7%
SSR = .22
INFP
n=6
1.0%
SSR = .25
INTP
n = 20
3.4%
SSR = 1.06
ESTP
n = 58
9.9%
SSR = 2.2
ESFP
n = 11
1.9%
SSR = .32
ENFP
n = 35
6.0%
SSR = .51
ENTP
n = 66
11.3%
SSR = 1.9
ESTJ
n = 129
22.0%
SSR = 1.56
ESFJ
n = 28
4.8%
SSR = .4
ENFJ
n = 29
4.9%
SSR = .81
ENTJ
n = 93
15.9%
SSR = 6.11
I found the MBTI
remarkably accurate.
It’s given me some very
useful insights
INTJ Stroke Rehabilitation
Research Fellow,
University of Manchester
26
Dichotomous pairs
E
I
44976.62%
13723.38%
S
N
32054.61%
26645.39%
T
F
45677.82%
13022.18%
J
P
36762.63%
21937.37%
IJ
8815.02%
IP 49 8.36%
EP 17029.01%
EJ 27947.61%
TJ 29350.00%
TP 16327.82%
FP 56 9.56%
FJ 7412.63%
ST 26645.39%
SF 54 9.22%
NF 7612.97%
NT 19032.42%
IN 43 7.34%
EN 22338.05%
IS 9416.04%
ES 22638.57%
SJ 22838.91%
SP 9215.70%
NP 12721.67%
NJ 13923.72%
ET 34659.04%
EF 10317.58%
IF
27 4.61%
IT 11018.77%
This table represents the distribution of the 16 MBTI types for the 586 Swedish
ESTJ22.0%
ENTJ15.9%
ENTP11.3%
ISTJ10.2%
59.4%
27
United Kingdom
(n = 11,886)
ISTJ
n = 1735
14.6%
SSR = 1.06
ISFJ
n = 215
1.8%
SSR = .14
INFJ
n = 125
1.1%
SSR = .65
INTJ
n = 979
8.2%
SSR = 5.86
ISTP
n = 480
4.0%
SSR = .62
ISFP
n = 81
0.7%
SSR = .11
INFP
n = 182
1.5%
SSR = .47
INTP
n = 825
6.9%
SSR = 2.88
ESTP
n = 618
5.2%
SSR = 5.2
ESFP
n = 126
1.1%
SSR = .12
ENFP
n = 427
3.6%
SSR = .57
ENTP
n = 1420
11.9%
SSR = 4.25
ESTJ
n = 2288
19.2%
SSR = 1.85
ESFJ
n = 347
2.9%
SSR = .23
ENFJ
n = 310
2.6%
SSR = .93
ENTJ
n = 1728
14.5%
SSR = 5.00
I guessed there would be a
MBTI that summed me up
and indeed there was
ISFJ Senior Lecturer,
Kings College London
28
Dichotomous pairs
E 726461.11%
I 462238.89%
S 589049.55%
N 599650.45%
T 1007384.75%
F 181315.25%
J 772765.01%
P 415934.99%
IJ 305425.69%
IP 156813.19%
EP259121.80%
EJ 467339.32%
TJ 673056.62%
TP334328.13%
FP 816 6.87%
FJ 997 8.39%
ST512143.08%
SF 769 6.47%
NF1044 8.78%
NT495241.66%
IN 211117.76%
EN388532.69%
IS 251121.13%
ES337928.43%
SJ 458538.57%
SP130510.98%
NP285424.01%
NJ314226.43%
ET605450.93%
EF121010.18%
IF 603 5.07%
IT 401933.81%
This table represents the distribution of the 16 MBTI types for the 11886 UK
up 52% of the sample population. Ages range from 20 to 72. There were 8581
ESTJ19.2%
ISTJ14.6%
ENTJ14.5%
ENTP11.9%
60.2%
29
United States
(n = 785)
ISTJ
n = 148
18.9%
SSR = .61
ISFJ
n = 11
1.4%
SSR = .10
INFJ
n=6
0.8%
SSR = .53
INTJ
n = 46
5.9%
SSR = 2.8
ISTP
n = 35
4.5%
SSR = .88
ISFP
n=3
0.4%
SSR = .04
INFP
n=9
1.1%
SSR = .25
INTP
n = 34
4.3%
SSR = 1.3
ESTP
n = 40
5.1%
SSR = 1.18
ESFP
n = 11
1.4%
SSR = .16
ENFP
n = 24
3.1%
SSR = .38
ENTP
n = 93
11.8%
SSR = 3.7
ESTJ
n = 177
22.5%
SSR = 2.59
ESFJ
n = 21
2.7%
SSR = .21
ENFJ
n = 23
2.9%
SSR = 1.16
ENTJ
n = 104
13.2%
SSR = 7.33
I found it very accurate
and even predicted my
response to stress
INTP Clinical Scientist,
University College London
30
Dichotomous pairs
E
I
49362.80%
29237.20%
S
N
44656.82%
33943.18%
T
F
67786.24%
10813.76%
J
P
53668.28%
24931.72%
IJ 21126.88%
IP 8110.32%
EP 16821.40%
EJ 32541.40%
TJ 47560.51%
TP 20225.73%
FP 47 5.99%
FJ 61 7.77%
ST 40050.96%
SF 46 5.86%
NF 62 7.90%
NT 27735.29%
IN 9512.10%
EN 24431.08%
IS 19725.10%
ES 24931.72%
SJ 35745.48%
SP 8911.34%
NP 16020.38%
NJ 17922.80%
ET 41452.74%
EF 7910.06%
IF
29 3.69%
IT 26333.50%
This table represents the distribution of the 16 MBTI types for the 785 USA
ESTJ22.5%
ISTJ18.9%
ENTJ13.2%
ENTP11.8%
66.4%
31
Industry sectors: Agriculture, Forestry, Fishing
(n = 119)
ISTJ
n = 27
22.7%
SSR = 1.66
ISFJ
n=1
0.8%
SSR = .06
INFJ
n=0
0.0%
SSR = 0
INTJ
n=8
6.7%
SSR = 4.79
ISTP
n = 10
8.4%
SSR = 1.31
ISFP
n=1
0.8%
SSR = .13
INFP
n=3
2.5%
SSR = .78
INTP
n=8
6.7%
SSR = 2.75
ESTP
n=7
5.9%
SSR = 1.01
ESFP
n=3
2.5%
SSR = .29
ENFP
n=4
3.4%
SSR = .54
ENTP
n = 13
10.9%
SSR = 3.89
ESTJ
n = 22
18.5%
SSR = .56
ESFJ
n=1
0.8%
SSR = .06
ENFJ
n=2
1.8%
SSR = .60
ENTJ
n=9
7.6%
SSR = 2.62
I found the MBTI to be very useful
indeed. Hugely insightful and
the practical application of the
information was perfect
ESTJ Regional Sales Manager,
Friend First Life
Assurance Company Ltd
32
Dichotomous pairs
E
I
6151.26%
5848.74%
S
N
7260.50%
4739.50%
T
F
10487.39%
1512.61%
J
P
7058.82%
4941.18%
IJ
IP
EP
EJ
3630.25%
2218.49%
2722.69%
3428.57%
TJ
TP
FP
FJ
6655.46%
3831.93%
11 9.24%
4 3.36%
ST
SF
NF
NT
6655.46%
6 5.04%
9 7.56%
3831.93%
IN
EN
IS
ES
1915.97%
2823.53%
3932.77%
3327.73%
SJ
SP
NP
NJ
5142.86%
2117.65%
2823.53%
1915.97%
ET
EF
IF
IT
5142.86%
10 8.40%
5 4.20%
5344.54%
This table represents the distribution of the 16 MBTI types for the 119 participants
on Ashridge development programmes from the Agriculture, Forestry and Fishing
industries from 2000 to 2010. They make up 0.5% of the sample population. Ages
range from 24 to 61. There were 100 male and 19 female participants.
ISTJ22.7%
ESTJ18.5%
ENTP10.9%
ISTP8.4%
60.5%
33
Industry sectors: Energy, Water Suppliers
(n = 1,286)
ISTJ
n = 193
15.0%
SSR = 1.16
ISFJ
n = 27
2.1%
SSR = .16
INFJ
n = 19
1.5%
SSR = .88
INTJ
n = 80
6.2%
SSR = 4.42
ISTP
n = 49
3.8%
SSR = .59
ISFP
n=3
0.2%
SSR = .03
INFP
n = 11
0.9%
SSR = .28
INTP
n = 69
5.4%
SSR = 2.25
ESTP
n = 78
6.1%
SSR = 1.05
ESFP
n = 22
1.7%
SSR = .19
ENFP
n = 37
2.9%
SSR = .46
ENTP
n = 135
10.5%
SSR = 3.75
ESTJ
n = 310
24.1%
SSR = 2.31
ESFJ
n = 36
2.7%
SSR = .22
ENFJ
n = 37
2.9%
SSR = 1.03
ENTJ
n = 180
14.0%
SSR = 4.83
34
Dichotomous pairs
E
I
83564.93%
45135.07%
S
N
71855.83%
56844.17%
T 109485.07%
F 19214.93%
J
P
88268.58%
40431.42%
IJ
IP
EP
EJ
31924.81%
13210.26%
27221.15%
56343.78%
TJ 76359.33%
TP 33125.74%
FP 73 5.68%
FJ 119 9.25%
ST 63048.99%
SF 88 6.84%
NF 104 8.09%
NT 46436.08%
SJ
SP
NP
NJ
IN
EN
IS
ES
56644.01%
15211.82%
25219.60%
31624.57%
17913.92%
38930.25%
27221.15%
44634.68%
ET 70354.67%
EF 13210.26%
IF
60 4.67%
IT 39130.40%
This table represents the distribution of the 16 MBTI types for the 1286
participants on Ashridge development programmes from the Utility industries from
2000 to 2010. They make up 5.6% of the sample population. Ages range from
24 to 61. There were 1092 male and 183 female participants, with 11 participants
unspecified.
ESTJ24.1%
ISTJ15.0%
ENTJ14.0%
ENTP10.5%
63.6%
35
Industry sectors: Chemical and Pharmaceutical
(n = 1,622)
ISTJ
n = 213
13.1%
SSR = .96
ISFJ
n = 24
1.5%
SSR = .12
INFJ
n = 13
0.8%
SSR = .47
INTJ
n = 92
5.7%
SSR = 4.07
ISTP
n = 56
3.5%
SSR = .54
ISFP
n = 13
0.8%
SSR = .13
INFP
n = 15
0.9%
SSR = .28
INTP
n = 81
5.0%
SSR = 2.08
ESTP
n = 113
7.0%
SSR = 1.21
ESFP
n = 16
1.0%
SSR = .11
ENFP
n = 53
3.3%
SSR = .52
ENTP
n = 183
11.3%
SSR = 4.04
ESTJ
n = 385
23.7%
SSR = 2.28
ESFJ
n = 44
2.7%
SSR = .21
ENFJ
n = 43
2.6%
SSR = .96
ENTJ
n = 278
17.1%
SSR = 5.89
My profile reflects me well,
particularly my response
to stressful situations
ENTJ Senior Manager,
HSBC Bank Plc
36
Dichotomous pairs
E 111568.74%
I
50731.26%
S
N
86453.27%
75846.73%
T 140186.37%
F 22113.63%
J 109267.32%
P 53032.68%
IJ
IP
EP
EJ
34221.09%
16510.17%
36522.50%
75046.24%
TJ 96859.68%
TP 43326.70%
FP 97 5.98%
FJ 124 7.64%
ST 76747.29%
SF 97 5.98%
NF 124 7.64%
NT 63439.09%
SJ
SP
NP
NJ
IN
EN
IS
ES
66641.06%
19812.21%
33220.47%
42626.26%
20112.39%
55734.34%
30618.87%
55834.40%
ET 95959.12%
EF 156 9.62%
IF
65 4.01%
IT 44227.25%
participants on Ashridge development programmes from the Chemical and
Pharmaceutical industries from 2000 to 2010. They make up 7.1% of the sample
population. Ages range from 24 to 63. There were 1270 male and 335 female
participants, with 17 unspecified.
ESTJ23.7%
ENTJ17.1%
ISTJ13.1%
ENTP11.3%
65.2%
37
Industry sector: Manufacturing
(n = 5,563)
ISTJ
n = 755
13.7%
SSR = 1.01
ISFJ
n = 44
0.8%
SSR = .06
INFJ
n = 25
0.4%
SSR = .24
INTJ
n = 314
5.6%
SSR = 4.0
ISTP
n = 182
3.3%
SSR = 5.16
ISFP
n = 18
0.3%
SSR = .04
INFP
n = 47
0.8%
SSR = .25
INTP
n = 237
4.3%
SSR = 1.80
ESTP
n = 391
7.0%
SSR = 1.20
ESFP
n = 46
0.8%
SSR = .09
ENFP
n = 180
3.2%
SSR = .51
ENTP
n = 609
10.9%
SSR = 3.89
ESTJ
n = 1541
27.7%
SSR = 2.66
ESFJ
n = 132
2.4%
SSR = .19
ENFJ
n = 121
2.2%
SSR = .79
ENTJ
n = 921
16.6%
SSR = 5.2
Understanding being an INFP has
helped me to realise my own abilities
and understand my interactions and
relationships within the team
INFP Store Manager,
Long Tall Sally
38
Dichotomous pairs
E394170.84
I162229.16
S310955.89
N245444.11
T495088.98
F 61311.02
J385369.26
P171030.74
IJ113820.46
IP 484
8.70
EP1226 22.04
EJ2715 48.80
TJ
353163.47
TP1419 25.51
FP 291
5.23
FJ 322 5.79
ST
286951.57
SF 240
4.31
NF373 6.71
NT
208137.41
IN62311.20
EN1831 32.91
IS 999 17.96
ES
211037.93
247244.44
SJ
SP637 11.45
NP1073 19.29
NJ
138124.82
ET
346262.23
EF 479 8.61
IF 134
2.41
IT
148826.75
participants on Ashridge development programmes from the Manufacturing
industries from 2000 to 2010. They make up 24.4% of the sample population.
Ages range from 23 to 78. There were 4610 male and 820 female participants,
with 133 unspecified.
ESTJ27.7%
ENTJ16.6%
ISTJ13.6%
ENTP10.9%
68.8%
39
Industry sector: Construction
(n = 1,469)
ISTJ
n = 269
18.3%
SSR = 1.34
ISFJ
n = 29
2.0%
SSR = .16
INFJ
n = 11
0.7%
SSR = .41
INTJ
n = 127
8.6%
SSR = 6.14
ISTP
n = 68
4.6%
SSR = .72
ISFP
n=7
0.5%
SSR = .08
INFP
n = 16
1.1%
SSR = .34
INTP
n = 85
5.8%
SSR = 2.42
ESTP
n = 78
5.3%
SSR = .91
ESFP
n = 11
0.7%
SSR = .08
ENFP
n = 42
2.9%
SSR = .46
ENTP
n = 133
9.1%
SSR = .30
ESTJ
n = 346
23.6%
SSR = 2.36
ESFJ
n = 31
2.1%
SSR = .17
ENFJ
n = 27
1.8%
SSR = .64
ENTJ
n = 189
12.9%
SSR = 4.44
40
Dichotomous pairs
E
I
85758.34%
61241.66%
S
N
T 129588.16%
F 17411.84%
83957.11%
63042.89%
J 102970.05%
P 44029.95%
IJ
IP
EP
EJ
43629.68%
17611.98%
26417.97%
59340.37%
TJ 93163.38%
TP 36424.78%
FP 76 5.17%
FJ 98 6.67%
ST 76151.80%
SF 78 5.31%
NF 96 6.54%
NT 53436.35%
SJ
SP
NP
NJ
IN
EN
IS
ES
67545.95%
16411.16%
27618.79%
35424.10%
23916.27%
39126.62%
37325.39%
46631.72%
ET 74650.78%
EF 111 7.56%
IF
63 4.29%
IT 54937.37%
participants on Ashridge development programmes from the Construction
industries from 2000 to 2010. They make up 6.4 % of the sample population. Ages
range from 24 to 64. There were 1309 male and 150 female participants, with 10
participants unspecified.
ESTJ23.6%
ISTJ18.3%
ENTJ12.9%
ENTP9.1%
63.9%
41
Industry sector: Retail
(n = 202)
ISTJ
n = 30
14.8%
SSR = 1.09
ISFJ
n=2
1.0%
SSR = .07
INFJ
n=0
0.0%
SSR = 0
INTJ
n=9
4.5%
SSR = 3.21
ISTP
n=9
4.5%
SSR = .70
ISFP
n=0
0.0%
SSR = 0
INFP
n=1
0.5%
SSR = .16
INTP
n = 19
9.4%
SSR = 3.92
ESTP
n=7
3.5%
SSR = 1.66
ESFP
n=0
0.0%
SSR = 0
ENFP
n=4
2.0%
SSR = .32
ENTP
n = 36
17.7%
SSR = 6.36
ESTJ
n = 45
22.3%
SSR = 2.14
ESFJ
n=3
1.5%
SSR = .12
ENFJ
n=2
1.0%
SSR = .36
ENTJ
n = 35
17.3%
SSR = 5.97
42
Dichotomous pairs
E
I
13265.35%
7034.65%
S
N
9647.52%
10652.48%
T
F
19094.06%
12 5.94%
J
P
12662.38%
7637.62%
IJ
IP
EP
EJ
4120.30%
2914.36%
4723.27%
8542.08%
TJ 11958.91%
TP 7135.15%
FP
5 2.48%
FJ
7 3.47%
ST
SF
NF
NT
9145.05%
5 2.48%
7 3.47%
9949.01%
IN
EN
IS
ES
SJ
SP
NP
NJ
8039.60%
167.92%
6029.70%
4622.77%
ET 12360.89%
EF 94.46%
IF
3 1.49%
IT
6733.17%
2914.36%
7738.12%
4120.30%
5527.23%
This table represents the distribution of the 16 MBTI types for the 202 participants
on Ashridge development programmes from the Retailing industry from 2000 to
2010. They make up .89% of the sample population. Ages range from 27 to 57.
There were 153 male and 48 female participants and 1 participant unspecified.
ESTJ22.3%
ENTP17.8%
ENTJ17.3%
ISTJ14.9%
72.3%
43
Industry sectors: Transport, Communications
(n = 1699)
ISTJ
n = 209
12.3%
SSR = .89
ISFJ
n = 20
1.2%
SSR = .09
INFJ
n=7
0.4%
SSR = .23
INTJ
n = 112
6.6%
SSR = 4.71
ISTP
n = 63
3.7%
SSR = .59
ISFP
n=9
0.5%
SSR = .08
INFP
n = 29
1.7%
SSR = .53
INTP
n = 81
4.8%
SSR = 2.00
ESTP
n = 116
6.8%
SSR = 1.17
ESFP
n = 27
1.6%
SSR = .18
ENFP
n = 67
3.9%
SSR = .61
ENTP
n = 208
12.2%
SSR = 4.36
ESTJ
n = 421
24.8%
SSR = 2.39
ESFJ
n = 40
2.4%
SSR = .19
ENFJ
n = 39
2.3%
SSR = .82
ENTJ
n = 251
14.8%
SSR = 5.10
MBTI is a very powerful tool to
make transparent the different
behaviours of team members
ESFJ General Manager,
EUREKO
44
Dichotomous pairs
E 116968.81%
I
53031.19%
S
N
90553.27%
79446.73%
T 146185.99%
F 23814.01%
J 109964.69%
P 60035.31%
IJ
IP
EP
EJ
34820.48%
18210.71%
41824.60%
75144.20%
TJ
TP
FP
FJ
99358.45%
46827.55%
132 7.77%
106 6.24%
ST 80947.62%
SF 96 5.65%
NF 142 8.36%
NT 65238.38%
IN
EN
IS
ES
22913.48%
56533.25%
30117.72%
60435.55%
SJ
SP
NP
NJ
69040.61%
21512.65%
38522.66%
40924.07%
ET 99658.62%
EF 17310.18%
IF
65 3.83%
IT 46527.37%
participants on Ashridge development programmes from the Transport and
Communications industries from 2000 to 2010. They make up 7.5% of the sample
participants, with 20 participants unspecified.
ESTJ24.8%
ENTJ14.8%
ISTJ12.3%
ENTP12.2%
64.1%
45
Industry sectors: Finance, Banking, Insurance
(n = 2050)
ISTJ
n = 284
13.9%
SSR = 1.01
ISFJ
n = 37
1.8%
SSR = .14
INFJ
n = 19
0.9%
SSR = .53
INTJ
n = 137
6.7%
SSR = 4.79
ISTP
n = 90
4.4%
SSR = .69
ISFP
n = 11
0.5%
SSR = .08
INFP
n = 23
1.1%
SSR = .34
INTP
n = 121
5.9%
SSR = 2.46
ESTP
n = 132
6.4%
SSR = 1.10
ESFP
n = 32
1.6%
SSR = .18
ENFP
n = 76
3.7%
SSR = .59
ENTP
n = 237
11.6%
SSR = .24
ESTJ
n = 464
22.7%
SSR = 2.17
ESFJ
n = 62
3.0%
SSR = .24
ENFJ
n = 48
2.3%
SSR = .82
ENTJ
n = 277
13.5%
SSR = 4.66
Fascinating insight into
personality types
ISFP Marketing Manager,
Pharmaceutical Co
46
Dichotomous pairs
E 132864.78%
I
72235.22%
S 111254.24%
N 93845.76%
T 174284.98%
F 30815.02%
J 132864.78%
P 72235.22%
IJ
IP
EP
EJ
47723.27%
24511.95%
47723.27%
85141.51%
TJ 116256.68%
TP 58028.29%
FP 142 6.93%
FJ 166 8.10%
ST
SF
NF
NT
97047.32%
142 6.93%
166 8.10%
77237.66%
IN
EN
IS
ES
SJ
SP
NP
NJ
84741.32%
26512.93%
45722.29%
48123.46%
ET111054.15%
EF 21810.63%
IF
90 4.39%
IT 63230.83%
30014.63%
63831.12%
42220.59%
69033.66%
participants on Ashridge development programmes from the Finance, Banking
and Insurance industries from 2000 to 2010. They make up 9% of the sample
participants, with 49 participants unspecified.
ESTJ22.6%
ISTJ13.9%
ENTJ13.5%
ENTP11.6%
61.6%
47
Industry sectors: Publishing, Entertainment, Leisure
(n = 1445)
ISTJ
n = 164
11.3%
SSR = .82
ISFJ
n = 24
1.7%
SSR = .13
INFJ
n=7
0.5%
SSR = .29
INTJ
n = 90
6.2%
SSR = 4.43
ISTP
n = 51
3.5%
SSR = .55
ISFP
n = 11
0.8%
SSR = .13
INFP
n = 21
1.5%
SSR = .47
INTP
n = 79
5.5%
SSR = 2.29
ESTP
n = 94
6.5%
SSR = 1.12
ESFP
n = 13
0.9%
SSR = .10
ENFP
n = 67
4.6%
SSR = .73
ENTP
n = 192
13.3%
SSR = 4.75
ESTJ
n = 289
20.0%
SSR = 1.92
ESFJ
n = 52
3.6%
SSR = 2.86
ENFJ
n = 57
3.9%
SSR = 1.39
ENTJ
n = 234
16.2%
SSR = 5.59
48
Dichotomous pairs
E
I
99869.07%
44730.93%
S
N
69848.30%
74751.70%
T 119382.56%
F 25217.44%
J
P
91763.46%
52836.54%
IJ
IP
EP
EJ
28519.72%
16211.21%
36625.33%
63243.74%
TJ
TP
FP
FJ
77753.77%
41628.79%
112 7.75%
140 9.69%
ST
SF
NF
NT
59841.38%
100 6.92%
15210.52%
59541.18%
IN
EN
IS
ES
19713.63%
55038.06%
25017.30%
44831.00%
SJ
SP
NP
NJ
52936.61%
16911.70%
35924.84%
38826.85%
ET 80955.99%
EF 18913.08%
IF
63 4.36%
IT 38426.57%
participants on Ashridge development programmes from the Publishing,
Entertainment and Leisure industries from 2000 to 2010. They make up 6.3% of
the sample population. Ages range from 21 to 61. There were 975 male and 452
female participants, with 18 participants unspecified.
ESTJ20.0%
ENTJ16.2%
ENTP13.3%
ISTJ11.3%
60.8%
49
Industry sector: Public Sector
(n = 5702)
ISTJ
n = 904
15.9%
SSR = 1.16
ISFJ
n = 126
2.2%
SSR = .17
INFJ
n = 72
1.3%
SSR = .76
INTJ
n = 531
9.3%
SSR= 6.64
ISTP
n = 228
4.0%
SSR = .63
ISFP
n = 45
0.8%
SSR = .13
INFP
n = 98
1.7%
SSR = .53
INTP
n = 384
6.7%
SSR = 2.79
ESTP
n = 263
4.6%
SSR = .79
ESFP
n = 66
1.2%
SSR = .13
ENFP
n = 205
3.6%
SSR = .57
ENTP
n = 639
11.2%
SSR = .25
ESTJ
n = 1011
17.7%
SSR = 1.70
ESFJ
n = 189
3.3%
SSR = .26
ENFJ
n = 151
2.6%
SSR = .93
ENTJ
n = 790
13.9%
SSR = 4.79
Having completed MBTT
assessment 3 times, I found it
reassuring to know that I have
been consistent in my result
and I feel it is a very accurate
reflection of my prefence
ENFJ Innovation Manager,
E. ON UK Plc
50
Dichotomous pairs
E 331458.12%
I 238841.88%
S 283249.67%
N 287050.33%
T 475083.30%
F 95216.70%
J 377466.19%
P 192833.81%
IJ 163328.64%
IP 75513.24%
EP117320.57%
EJ 214137.55%
TJ 323656.75%
TP151426.55%
FP 414 7.26%
FJ 538 9.44%
ST240642.20%
SF 426 7.47%
NF 526 9.22%
NT234441.11%
IN 108519.03%
EN178531.30%
IS 130322.85%
ES152926.82%
SJ 223039.11%
SP 60210.56%
NP132623.25%
NJ154427.08%
ET270347.40%
EF 61110.72%
IF 341 5.98%
IT 204735.90%
participants on Ashridge development programmes from Public Sector industries
from 2000 to 2010. They make up 25% of the sample population. Ages range
from 21 to 64. There were 3757 male and 1789 female participants, with 156
participants unspecified.
ESTJ17.7%
ISTJ15.9%
ENTJ13.9%
ENTP11.2%
58.7%
51
Ashridge, Berkhamsted, Hertfordshire HP4 1NS, UK
Psychometric Services
Tel: +44 (0)1442 841030
Fax: +44 (0)1442 841415
[email protected]
www.ashridge.org.uk
© Ashridge
First edition 2004
Updated January 2011
All rights reserved. Except for the quotation of short passages for the purpose of criticism
and review, no part of this publication may be reproduced, stored in a retrieval system, or
transmitted, in any form or by any means, electronic, mechanical, photocopying, recording
or otherwise, without the prior permission of Ashridge.
ISBN 0903542 51X

MBTI Research into Distribution of Type (2nd edition)

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