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Creative Performance in Older Adults

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The prevailing stereotype of the relationship between intellectual productivity and age is that there is a rapid decrease after the age of about 60. However, this view is not supported by findings from case studies or laboratory research. When attention is focused on creativity, much the same is true: there are indeed differences related to age, but creative performances are seen (under appropriate circumstances) in people of all ages. Age differences in creative performance are not due to a general deterioration, but to a combination of cognitive changes, effects of external factors such as social norms, and internal factors such as motivation and personality. Such findings suggest ways of maintaining creativity, even after retirement!
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Creative Performance in Older Adults
Arthur Cropley
University of Hamburg
Department of Psychology
Abstract
The prevailing stereotype of the relationship between intellectual productivity and age is
that there is a rapid decrease after the age of about 60. However, this view is not supported
by findings from case studies or laboratory research. When attention is focused on
creativity, much the same is true: there are indeed differences related to age, but creative
performances are seen (under appropriate circumstances) in people of all ages. Age
differences in creative performance are not due to a general deterioration, but to a
combination of cognitive changes, effects of external factors such as social norms, and
internal factors such as motivation and personality. Such findings suggest ways of
maintaining creativity, even after retirement!
1Introduction
The traditional view on the relationship between age and intellectual
productivity can be summarized in a simple manner: A rapid increase between
birth and adolescence or early adulthood is said to be followed by a plateau
lasting until the age of perhaps 50 or 60, at which point a phase of
deterioration is thought to set in and accelerate rapidly once old age makes
itself felt, ending ultimately with death. The shape of the curve is affected by
illness or injury, but it can be summarized in general terms in the form shown
in Figure 1 (Cropley 1977, p. 55).
2Weaknesses of the Model
2.1 Technical Problems
There are a number of methodological objections to this model. For instance,
the data on which it is based were mainly derived from cross sectional studies,
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Figure 1: Stereotype of Intellectual Growth and Decline with Age.
in which separate groups of people were tested at the same time (all the
people in a given group being of similar age), on the assumption that - to take
one example - those who are 20 today will in 30 years time be like people
who are 50 today. Methodological analyses (e.g., Baltes, Reese & Lipsitt
1980) have shown that longitudinal studies, in which the same people are
tested several times at intervals during their lives, are likely to produce
different results. For instance, as Cropley (1977) show7ed, even in a situation
in which in reality there is a constant increase throughout life, cross sectional
studies could easily yield a curve similar to that in Figure 1, purely as a result
of differences between generations and not as a result of changes within
individuals over time. By the early 1980s there was conflicting evidence from
the two sorts of studies as well as better understanding of the methodological
issues, which led to pronouncements on the "myth" of decline in intellectual
functioning during adulthood, and counter arguments that the myth was itself
a myth (see for instance Horn 1982).
2.2 Different Aspects of Intellectual Functioning
Descriptions of the relationship between age and intellectual functioning such
as the one shown in Figure 1 are merely summaries. They do not take account
of differences in the shape of the curve for different aspects of intellectual
functioning; the size of the vocabulary, for instance, increases steadily with
age (in the absence of injury, disease, or biological degeneration). They focus
on only a narrow range of aspects of intellect such as speed of problem
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solving, rapid and accurate access to the contents of the memory, familiarity
with the most up to date technology, and the like (aspects of ability that are
closely related to conventional school like activities). They ignore, among
other things, fantasy. Possibly more important, they take little account of the
"wisdom" arising from increased experience of life (see Baltes & Smith 1990
and Birren & Fisher 1990 for more detailed discussions). This wisdom
includes good judgment in difficult situations, understanding of the way in
which the events of life go together to form a consistent context, the ability
to place events into perspective, a grasp of the fact that life is full of
uncertainty and imponderability and that all planning must take this into
account, and similar knowledge and skills.
2.3 Differences Between People
Figure 1 also fails to take differences between individual people into account.
Some people show low levels of intellectual activity from an early age, some
continue into advanced age, or continue to be very active until death. In any
case, postmortem studies show that people maintain their level of intellectual
activity until a point where a decline leading into death occurs, regardless of
the chronological age (it should be remembered that these remarks do not
apply where the effects of injury, disease or biological degeneration are
pronounced). In other words, it is not age itself which is correlated with
reduction in intellectual activity but rather entry into the final phase of life,
which sets in relatively shortly before death. The chronological age at which
this occurs may differ very substantially from person to person. One
determinant of the age at which entry into the pre-death phase occurs (once
again, leaving aside injury, illness or premature degeneration) may be the
extent to which people remain intellectually active. According to the
principle, "Use it or lose it," those who start resting on their laurels early may
be the people who slip into the downhill part of the curve in Figure 1 at the
earliest chronological age. An appropriate German saying can be translated
as, "Those who rest rust!"
3Special Aspects of Adult Intellectual Functioning
Despite what has just been said, Knapper and Cropley (1991) concluded that
there are genuine changes in intellectual functioning with increasing age.
However, such differences do not reflect simply a general deterioration after
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adolescence and young adulthood, but are the result of a combination of
factors: changes in cognitive abilities (memory, thinking and learning
strategies, storage and recall of information), speed of functioning, or
preferred working conditions. Particularly important is the fact that
differences in intellectual performance at different ages may be due more to
differences in interests, motivation, self-image and the like than in ability.
With increasing age adults possess more clearly developed personal goals,
better articulated ideas about what constitutes worthwhile subject matter, and
a stronger desire to apply the results of their intellectual efforts. In addition,
they are subjected to the effects of social factors such as fear of looking
foolish. They also tend to take on different roles in their careers, older adults,
for instance, being expected to become guardians of advances already made
(managers) and supervisors or mentors of the upcoming generation, rather
than risk takers and trail blazers. Older colleagues are expected to leave the
work at the cutting edge to the younger generation. Finally, they are the
subject of social stereotypes, including the view that people over, let us say,
50 are incompetent. It is important to notice here that the differences which
do exist between children and adults and between older and younger adults
are (a) largely noncognitive in nature (involving motivation, self-image, social
pressure, etc.) and (b) qualitative (involving different kinds of content,
differences in preferred ways of working, and the like).
4Broader Understanding of Ability - Creativity
In recent years (see Cropley 1992a for a summary), the traditional concept of
intelligence has been extended by arguing that it is not only the reproductive
elements of thinking and problem solving (recognizing, remembering,
reapplying and the like - often under time pressure), that define intellectual
productivity, but that branching out, finding novel solutions, etc. (i.e.,
creativity) are also important. A combination of conventional thinking based
on factual knowledge, recall of this knowledge, logical thinking and similar
properties with the production of effective and relevant novelty yields "true"
giftedness (Cropley 1994; Facaoaru 1985).
4.1 Creativity and Age
The question that now arises is that of the relationship between creativity and
age. Concentrating on "ordinary" people who have not become famous for
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creativity, various authors (see Cropley in press for a summary) have
concluded that there is a curvilinear relationship between age and "creativity",
as measured by psychological tests. Scores increase until about age 6,
followed by a trough between about 6 and 16, and an increase again until
about 30. After about 30 there is thought to be a steady decline. The early,
"classic" study of Lehman (1953) reported that peak performances of people
who had actually become famous for their creative achievements occurred
most frequently between 30 and 40. This view is still widely supported (see
Simonton (1988) for a detailed analysis based on case studies of famous
people). Lehman's findings indicated that the age at which peak performances
occur varies from discipline to discipline, mathematicians tending to become
famous particularly early. Nonetheless, there is agreement in the research
literature (e.g., Cole 1979; Dennis 1966; Horner, Rushton & Vernon 1986)
that, allowing for differences in definitions and methodology, somewhere
around 40 is the most productive age. Despite this, it should be borne in mind
that many famous creative individuals continued to produce until well into
later life: Darwin, Freud and Einstein became famous in their twenties and
remained active into their seventies - those who start youngest seem to
continue longest.
4.2 Methodological Problems
A major methodological weakness of case studies of age and creativity is that
many creative people are included who died young: Naturally, such people
made their creative achievements at an early age. The picture becomes
somewhat different when people who lived into their seventies and longer are
studied separately. Lindauer (1993), for instance, studied famous artists, and
showed that the average age of peak performance was 35 for those who died
young, but 50 for those who lived longer. In general, longer lived creative
artists maintained a high peak of creativity over a period of three decades,
usually in their 30s, 40s and 50s. Peak creativity was unusual in the 20s
(although not nonexistent), and fell off in the 60s and later, although more
common after 50 than before 30. A high level of creativity even in old age is,
in fact, quite common. The psychological findings of Cornelius and Crespi
(1987) and Perlmutter (1988) that imagination persists until late in life support
the view that psychological traits connected with creativity persist into old
age.
Looking at individual people, Lindauer (1993) also reported substantial
individual differences in patterns connecting creativity with age. Even among
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the members of his sample of long lived artists, two reached their peak in their
20s, six, however, in their 60s. There were also noticeable sex differences.
Famous women artists produced more creative work in their 20s, men more
in their 60s or even later, although both sexes experienced their peak years
between 30 and 50. This suggests a possible social effect - in this case sex
role expectations - on the development of creativity. Root-Bernstein,
Bernstein and Garnier (1993) studied the productivity of 40 male scientists
who had all made enduring "high impact" contributions in physics, chemistry,
biochemistry and biology (including several Nobel Prize winners and a
number of men who had been nominated for the Nobel Prize, some of them
on more than one occasion, without actually winning it). The contributions of
these men were studied over a period of 20 years. Many of them went on
producing into their 50s and 60s. Those who made a single achievement early
and then ceased to be creative (although most of them continued to work
productively, if in a more or less repetitive way) tended to move into
management, whereas those who continued to be creative hated administrative
work. These authors concluded that a fall off in creativity after early
achievements is common, but by no means necessary.
4.3 Different Kinds of Creativity
One possible explanation of conflicting findings on creativity and age is that
there may be different kinds of creativity, the kind rather than the level of
creativity being age linked. Mumford and Gustafson (1988) made a distinction
which is very useful in this regard. They differentiated between "major" and
"minor" creativity. Significant breakthroughs (major creativity) may well tend
to occur between about 30 and 40, broadening and consolidating (minor
creativity) after that. Abra (1994) made a similar distinction between
"innovators" and "perfectors". He also expressed this in a somewhat negative
way, referring to "visionaries" and "plodders". These ideas suggest that there
may be age related changes in the kind of creativity, highly original ideas
tending to appear in youth (even if they are not fully thought out), perfecting
of the breakthroughs occurring later. The latter kind of creativity may require
a long period of apprenticeship: Elshout (1990), for instance, showed that
outstanding performance often requires about 20 years of preparation. Case
studies of creative achievers such as Nobel Prize winners or persons rated as
exceptionally creative by their peers (e.g., Simonton 1988; Weisberg 1986)
have been extremely fruitful in this regard. Despite exceptions such as
Mozart, achieving recognition is often a very long process: famous pianists
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and successful scientists, to take two examples, frequently require 15 or more
years of intensive effort before their work is recognized as creative. Howe and
Sloboda (1991) showed that children who displayed exceptional musical
talent early in their lives did not necessarily go on to become successful
musicians. If acquisition of the high technical skills necessary in many areas
for polished creative products takes 15 or 20 years, it is not hard to see why
creativity in the form of consolidating, broadening and perfecting would be
rare before the age of 40 or so. On the other hand, the inspired shot in the dark
or the sudden breakthrough, even if in an unpolished form, would be perfectly
possible at younger ages, or might even be encouraged by impulsiveness,
rebelliousness or absence of fear of losing face, characteristics commonly
associated with youth.
5Factors Affecting Creativity in Older Adults
From a psychological point of view, differences between older adults and
children in creative performance may be regarded as stemming from internal
factors such as intelligence, motivation or personality, or from external factors
(characteristics of the external world). Naturally, these two areas may interact
with each other - for instance, characteristics of the environment may affect
the acquisition of skills or the development of personality. Both internal and
external factors are subject to developmental processes; new skills are
acquired with increasing age and motivational changes, while an individual's
position in the community or the expectations other people have of the
individual change with that person's age.
5.1 Cognitive Factors
Differences of the kind just mentioned between older and younger people may
result from patterns of cognitive development (Piaget 1973). In children, there
is a progression from the preoperational stage (thinking focuses on concrete
attributes of objects and events) to the formal operational (thinking takes
account of abstract "meaning"). Urban (1991) identified six developmental
stages of creativity (admittedly in children) which were based on cognitive
development in the sense just outlined. One of the most important cognitive
factors in adult creativity identified by Walberg and Stariha (1992) was use
of existing knowledge as the basis of novel ideas. This was followed by
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alertness to novelty and knowledge gaps (see Cropley's (1992b) discussion of
"openness to the spark of inspiration"). Age differences in level or kind of
creativity may reflect the known tendency of younger people to
"accommodate" cognitively to new experiences (i.e., to alter existing ideas on
the basis of new information) in contrast with the tendency of older people to
"assimilate" (i.e., to integrate new information into existing knowledge).
5.2 Motivation
Another important area where age probably plays a role is that of motivation.
Various authors (see Walberg & Stariha 1992 for a summary) have concluded
that the major motivational factors observed in creative adults are
perseverance, discipline and commitment to a field or content area.
Committed work in a field over a lengthy period of time can hardly be
expected from children, if for no other reason than that the brevity of their
lives prior to the time when they are studied in research projects makes long
term commitment impossible. Also important are the influence of the norms
of formal education (emphasis on logic and accuracy). In an international
context, Shoumakova and Stetsenko (1993) in Russia and Heller (1994) in
Germany reported that thy had detected a reduction in creativity with
increasing schooling. Also important are social norms (adults are expected to
"be their age" and come to grips with the realities of life at the expense of
fantasy or play), demands of family, job or career and finally, physiological
factors such as changes in memory and thinking speed. Ruth and Birren
(1985) emphasized this latter group of factors in an unusual study of creativity
at various age levels, including old age.
5.3 Social Factors
Studies of creativity in eminent creative adults (see Walberg & Stariha 1992
for a brief but informative summary) have shown that expectations - in this
case the expectations of parents when the creative adults were still children -
seem to play a role in the emergence of creativity. In older adults there is a
clear societal expectation that they will become passive and inactive. The
effects of this expectation on creative productivity in later adulthood were
demonstrated by Lindauer's (1993) finding that artists who kept on working,
instead of retiring, continued to do creative work until into their old age.
Making a similar point with a different group of creative workers, Dudek and
Hall (1991) showed that architects who resisted retiring were creatively
productive for many years more than those who retired early. Such findings
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suggest that the social convention of ceasing to work at about age 60, not
disappearance of the psychological potential for creativity, may be a major
causal factor in reduced creativity at older ages.
Another social factor connecting creativity with age was discussed by Abra
(1994). He showed that achieving spectacular breakthroughs may require
cooperation with others. This might take the form of brainstorming or similar
kinds of interaction. Older people, especially those who have already achieved
creative products, may find it more difficult to work with partners,
accustomed as they are to being the star of the show. In their study of creative
scientists, Root-Bernstein, Bernstein and Garnier (1993) found that a major
difference between the men who continued to be creative over a long period
of time and those who made creative achievements early in life and then
ceased to be creatively productive (although they were often active for many
more years, producing however only "plodding" work after the breakthrough)
was that the lifespan creators frequently worked on several problems
simultaneously, or even switched areas of focus several times. They were
willing to go back to being novices again. Root-Bernstein (1989) spoke of the
"novice effect" in this regard. Working in the same area over a long period of
time leads to high levels of familiarity with the field, but blunts the acuteness
of the vision or inhibits openness to the spark of inspiration (Cropley 1992b).
The novice, by contrast, is not inhibited by long years of work on narrow
details. Returning to novice status requires doing without the self-confidence
that arises from knowledge of one's own souverainity in an area and without
the respect from others which is part of being an acknowledged expert.
6The Value of Creativity for Older Adults
The research summarized to date indicates that creative productivity is
perfectly possible in older adults. However, "is possible" is not the same as
"is necessary". Why should older people continue to seek to be creatively
productive, rather than, for instance, accepting the social stereotype of
passivity or even retiring as early as possible?
6.1 Everyday Creativity
Arguments why creativity should be fostered usually emphasize that a society
needs creative performances from scientists, engineers, managers, artists and
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scholars if it is to flourish, creative people being seen, essentially, as human
capital (see for instance Walberg & Stariha 1992). However, a number of
authors have introduced the idea of creativity as a characteristic of "people
who will never produce anything original and useful" (Nicholls 1972), or
"everyday creativity" (Merzel 1988). Interest in this chapter is in creativity as
something of which all people are capable. However, this requires a focus on
creativity not as the bringing forth of products hailed as creative (objects,
works of art, ideas, techniques and methods), but as a psychological process
involving cognition (thinking, reasoning, problem solving), motivation
(willingness to take risks, persistence, desire for novelty) and personality
(resistance to conformity pressure, self-confidence, flexibility).
6.2 Creativity and Mental Health
Research indicates that creativity is connected with psychological properties
such as flexibility, openness, autonomy, humour, willingness to try things,
realistic self-assessment, and similar characteristics. These properties have
been established in studies of highly creative people (see Cropley 1992a for
a summary). They are usually thought of as prerequisites for the emergence
of creativity. However, research on normal personality development also
emphasizes similar properties as core elements of the healthy personality.
Adopting a psychoanalytic position, Anthony (1987) argued that creativity is
related to ego autonomy, ego autonomy to mental health, with the
consequence that creativity and mental health are related. In humanistic
psychology (e.g., Maslow 1954; Rogers 1961) healthy personality
development requires openness, flexibility and tolerance, characteristics of the
creative personality. Krystal (1988) showed that uncreative people had
difficulty in "self-caring" and lacked "self-coherence". Fostering creativity in
such people would promote self-realization. Emphasizing cognitive processes,
Hudson (1963) made the point that noncreative people tend to be narrow and
rigid in dealing with information from the external environment, whereas
creative individuals show openness and flexibility in dealing with such
information. Narrowness and rigidity help achieve a sense of certainty and
security, but at the expense of healthy personality development. According to
Burkhardt (1985), modern life is marked by a "mass psychosis" which has at
its core an obsession with sameness and uniformity. Creativity is, of course,
concerned with novelty and difference.
Thus, it can be argued that creativity is connected with psychological
characteristics (such as openness, autonomy and flexibility) which are
Creative Performance in Older Adults
85
important in maintaining mental health. Although it is not clear whether there
is a cause and effect relationship between creativity and mental health, the
two seem to be connected, at least at the level of everyday creativity. The
position may be different with people who become famous for creative
achievements. Lombroso (1891), for instance, argued that genius and madness
are closely allied, and this view has been repeated in later research (see
Cropley 1990 for a review). Jamison (1989) showed that manic states were
prominent in many famous artists and writers, including Byron, Shelley,
Coleridge and Poe. Nonetheless, Richards and Kinney (1990) concluded that
psychosis does not seem to be conducive to creativity, while May (1976)
concluded that it is inimical. There are, then, grounds for believing that
creativity, even in the humble sense of everyday creativity, encourages
healthy personality development and mental age. This conclusion provides a
strong argument for the importance of maintaining creativity even at advanced
age.
7Conclusions: Remaining Creative After Retirement
The research summarized here suggests that creative productivity is perfectly
possible in older adults. However, certain psychological characteristics seem
to be necessary - or at the very least favourable - for creativity in later life.
These include maintenance of sensitivity to problems and openness to the
novel, continuing ability to accommodate to new knowledge (see earlier
discussions of assimilation versus accommodation), willingness to work hard,
commitment to an area or an idea, willingness to revert to nonexpert status or
to thinking untrammelled by the strict logic or knowledge of what is and is not
possible acquired over a lifetime, and ability to work with others, conceivably
in a relationship in which being older does not imply lead to fear of losing
face or a unwillingness to risk failure.
Bibliography
Abra, J. (1994). Collaboration in Creative Work: An Initiative for Investigation. Creativity
Research Journal, 7, 1-20.
Anthony, E.J. (1987). Risk, Vulnarabilty and Resilience: An Overview. In E.J. Anthony &
B.J. Cohen (Eds.), The Invulnerable Child (pp. 3-48). New York: Guilford Press.
Baltes, P.B. & Smith, J. (1990). Towards a Psychology of Wisdom and its Ontogenesis. In
R.J. Sternberg (Ed.), Wisdom - Its Nature, Origins and Development (pp. 87-120).
Cambridge: Cambridge University Press.
Arthur Cropley
86
Baltes, P.B., Reese, H.W. & Lipsitt, L.P. (1980). Lifespan Developmental Psychology.
Annual Review of Psychology, 31, 65-110.
Birren, J.E. & Fisher, L.M. (1990). The Elements of Wisdom: Overview and Integration.
In R. J. Sternberg (Ed.), Wisdom - Its Nature, Origins and Development (pp. 317-322).
Cambridge: Cambridge University Press.
Burkhardt, H. (1985). Gleichheitswahn Parteienwahn. Tübingen: Hohenrain.
Cole, S. (1979). Age and Scientific Performance. American Journal of Sociology, 84,
958-977.
Cornelius, S.W. & Crespi, A. (1987). Everyday Problem-solving in Adulthood and Old
Age. Psychology and Aging, 2, 144-153.
Cropley, A.J. (1977). Lifelong Education: A Psychological Analysis. Oxford: Pergamon.
Cropley, A.J. (1992a). More Ways than One. Fostering Creativity in the Classroom.
Norwood: Ablex.
Cropley, A.J. (1992b). Glück und Kreativität: Förderung von Aufgeschlossenheit für den
zündenden Gedanken. In K. Urban (Ed.), Begabungen entwickeln, erkennen und fördern
(pp. 216-221). Hannover: University of Hannover, Faculty of Education.
Cropley, A.J. (1994). Creative Intelligence: A Concept of "True" Giftedness. European
Journal for High Ability, 5, 6-23.
Cropley, A.J. (In press). Kreativität. In K. Pawlik & M. Amelang (Eds.), Handbuch der
differenziellen Psychologie, 2. Göttingen: Hogrefe.
Dennis, W. (1966). Creative Productivity Between the Ages of 20 and 80. Journal of
Gerontology, 21, 1-8.
Dudeck, S.Z. & Hall, W.B. (1991). Personality Consistency: Eminent Architects 25 Years
Later. Creativity Research Journal, 4, 213-231.
Elshout, J. (1990). Expertise and Giftedness. European Journal for High Ability, 1,
197-203.
Facaoaru, C. (1985). Kreativität in Wissenschaft und Technik. Bern: Huber.
Heller, K.A. (1994). Können wir zur Erklärung außergewöhnlicher Schul-, Studien- und
Berufsleistungen auf das hypothetische Konstrukt "Kreativität" verzichten? Empirische
Pädagogik, 8, 361-398.
Horn, J.L. (1982). The Aging of Human Abilities. In B.J. Wolman (Ed.), Handbook of
Developmental Psychology. Englewood Cliffs: Prentice Hall.
Horner, K.L., Rushton, J.P. & Vernon, P.A. (1986). Relation Between Aging and Research
Productivity of Academic Psychologists. Psychology and Aging, 1, 319-324.
Howe, M.J.A. & Sloboda, J.A. (1991). Early Signs of Talents and Special Interests in the
Lives of Young Musicians. European Journal for High Ability, 2, 102-111.
Hudson, L. (1963). Personality and Scientific Aptitude. Nature, 196, 913-914.
Jamison, K.R. (1989). Manic-depressive Illness and Accomplishment: Creativity
Leadership and Social Class. In F.K. Goodwin & K.R. Jamison (Eds.), Manic-depressive
Illness. Oxford: Oxford University Press.
Knapper, C.K. & Cropley, A.J. (1991). Lifelong Learning and Higher Education. London:
Kogan Page.
Krystal, H. (1988). On Some Roots of Creativity. Psychiatric Clinics of North America, 11,
475-491.
Lombroso, C. (1891). The Man of Genius. London: Scott.
Lehman, H.C. (1953). Age and Achievement. Princeton: Princeton University Press.
Creative Performance in Older Adults
87
Lindauer, M.S. (1993). The Span of Creativity Among Long-lived Historical Artists.
Creativity Research Journal, 6, 221-240.
Maslow, A.H. (1954). Motivation and Personality. New York: Harper.
May, R. (1976). The Courage to Create. New York: Bantam.
Merzel, A. (1988). Creativity in Manic-depressives, Cyclothymes, their Normal Relatives,
and Control Subjects. Journal of Abnormal Psychology, 9, 281-288.
Mumford, M.D. & Gustafson, S.B. (1988). Creativity Syndrome: Integration, Application
and Innovation. Psychological Bulletin, 103, 27-43.
Nicholls, J.G. (1972). Creativity in the Person who Will Never Produce Anything Original
and Useful: The Concept of Creativity as a Normally Distributed Trait. American
Psychologist, 27, 717-727.
Perlmutter, M. (1988). Cognitive Potential Throughout Life. In J. Birren & V. Bengston
(Eds.), Emergent Theories of Aging (pp. 230-241). Hillsdale: Erlbaum.
Piaget, J. (1973). Memory and Intelligence. London: Routledge & Kegan.
Richards, R. & Kinney, D. (1990). Mood Swings and Creativity. Creativity Research
Journal, 3, 202-217.
Rogers, C.R. (1961). On Becoming a Person. Boston: Houghton Mifflin.
Root-Bernstein, R.S. (1989). Discovery. Cambridge: Cambridge University Press.
Root-Bernstein, R.S., Bernstein, M. & Garnier, H. (1993). Identification of Scientists
Making Long-term High-impact Contributions, with Notes on their Methods of Working.
Creativity Research Journal, 6, 329-343.
Ruth, J.-E. & Birren, J.E. (1985). Creativity in Adulthood and Old Age: Relations to
Intelligence, Sex and Mode of Testing. International Journal of Behavioural
Development, 8, 99-109.
Shoumakova, N. & Stetsenko, A. (1993). Exceptional Children: Promoting Creativity in
a School Training Context. In International Society for the Study of Behavioural
Development (ISSBD) (Ed.), Symposium Abstracts of the Twelfth Biennial Meeting of
ISSBD (p. 23). Recife: ISSBD.
Simonton, D.K. (1988). Age and Outstanding Achievement: What do we Know After a
Century of Research? Psychological Bulletin, 104, 251-267.
Urban, K.K. (1991). On the Development of Creativity in Children. Creativity Research
Journal, 4, 177-191.
Walberg, H.J. & Stariha, W.E. (1992). Productive Human Capital: Learning, Creativity and
Eminence. Creativity Research Journal, 5, 323-340.
Weisberg, R.W. (1986). Creativity: Genius and Other Myths. New York: Freeman.
... social norms) and internal factors (i.e. motivation and personality) [39]. As regards the teachers' creative performance, in terms of age and number of years in teaching, this may have some changes as one gets older and acquire more years in the teaching career. ...
... A study concluded that age affects divergent thinking and creativity production and the peak of creative performance is manifested before 40 years old and diminishes thereafter [38]. However, a decrease in creativity over time particularly in adults are not mainly because of deterioration but due to a cognitive change which are effects of external (i.e., social norms) and internal factors (i.e., motivation and personality) [39]. Some adults tend to avoid complexity which decreases creative production and tend not to envision new things in teaching due to the difficulty that is embedded in every change. ...
... A common stereotype of the relationship between learning and age is that there is a rapid buildup in childhood and adolescence, a plateau during adulthood, and a catastrophic decrease after the age of about 60. This stereotype is depicted in However, as A. J. Cropley (1995) pointed out in a summary review, this generalised description is not supported by research or case studies. There are indeed differences related to age (see below), but these are not simply a matter of an early peak in late adolescence followed by dwindling overall capability thereafter. ...
... A. J. Cropley (1995) offered an explanation of avoidance of uncertainty based on the nature of cognitive development (e. g., Piaget & Inhelder, 1969). Increased knowledge brings substantial changes not only in the amount of information people possess, but also in the way new information is incorporated into existing cognitive structures: stated in a down-to-earth manner, as people come to know more, they increasingly process the new by shrinking it down to fit in with the old (assimilating), rather than expanding, reorganising, re-interpreting, or re-imagining the old to make it expand with the new (accommodating). ...
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To be published by Bertelsmann (2021)] CHAPTER 1 Engineering: The open-ended profession The age of Industry 4.0 that is now emerging involves a new kind of interaction between humans and cyber-physical systems, and engineers need to be equipped for this interaction. The necessary preparedness involves not only traditional technological knowledge and skills but also appropriate personal properties. Understanding and promoting the latter requires a "cyber-psychology," the core of which is "capability-focused technological fluency" (CFTF). Naturally, CFTF requires possession of fixed skills relevant to a specific discipline (in the case of engineering, technological fluency-TF), but it also involves general capabilities that can be applied to any kind of task, in any domain, at any time, and in any place (capability focus-CF). At its heart are two meta-competencies: updating of knowledge, on the one hand, and using knowledge to cope with novelty and uncertainty, on the other. Promoting these requires an appropriate educational approach encompassing not only cognitive components, such as knowledge, thinking and communication, but also personal properties, such as openness to novelty, tolerance of complexity, willingness to take risks, or self-confidence in the face of uncertainty. This requires "two-dimensional" engineering education which promotes both CF and TF.
... Older people have huge creative potential. Cropley [2] found that there is a high level of creativity even in old age. Lindauer [9], who investigated the creativity of older artists, found that their creative span is longer and their artwork improved as they aged. ...
... The fact that the participants chose 'learning new songs' as the main benefit of the study demonstrates that elderly people are still eager to learn new skills and supports the theory that human beings are always looking for novelty in order to keep their lives purposeful and meaningful until death (Cropley, 1995). Social interaction was also seen as a prime benefit. ...
Article
This study tests if ‘choral therapy’ can reduce depression and improve quality of life in older adults. This mixed method study involved 40 participants. Participants were assessed pre- and post-intervention for cognitive functioning (MMSE), depression (Cornell Scale) and quality of life (Cornell Brown). The treatment group (n=20) actively participated in the choir for 12 weeks, while the control group (n=20) received standard daily care. Pre- and post-treatment scores were compared by paired t-tests.Intergroup-comparisons were assessed with an unpaired t-test. Mean depressive symptoms in the choir group were reduced by 54% (p=0.004), mean quality of life score improved by 57% (p= 0.0004) and there was a significant increase in cognitive functioning (p= 0.011). Qualitative results from evaluation questionnaires completed by participants highlighted perceived benefits of the intervention. Sixty percent (n=17) reported that singing improved their mood, while 40% reported physical gains such as breath control. Sixty-seven percent of participants reported increased social interaction as a benefit, while 22% reported memory improvement. Relaxation, stress reduction and reduced isolation were also perceived benefits. The results of this controlled study indicate that ‘choral therapy’ reduced depressive symptoms and improved quality of life, while increasing cognitive functioning.
... This motivation is noted in other studies involving older adults (Solé et al. 2010). Furthermore, it supports the theory that human beings are always looking for novelty, in order to keep their lives purposeful and meaningful until death (Cropley, 1995). When asked what the choir meant to the participants the second most prominent theme was that of community. ...
Chapter
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Introduction Depression is a major public health burden among older adults (Weise, 2011). While the incidence of depression in older adults is quite high, an effective and easy way to manage depressive symtomatology is by participation and engagement in meaningful interventions such as music therapy (Clair, 2000). Creative arts therapies are a valuable treatment option for older adults, which foster exploration of creativity and resilience in a supportive environment anchored by a therapeutic relationship. ‘They offer encouragement; reassurance; potentials to adapt, cope and flourish’ (Ahessy, 2013, p. 274). Music therapy has been used effectively to reduce depression in populations across the lifespan in various health settings. Receptive and active techniques have been shown to improve depressive symptoms, anxiety and general functioning (Chan et al. 2009, Erkkilä et al. 2011). In older adults music therapy is a supportive treatment for depression and participation in group music therapy has a positive effect on people with and without dementia (Marantos et al. 2008; Myskja & Nord, 2008; Chu et al. 2013). Collaborative approaches with other creative arts therapies, such as dance movement therapy, have also resulted in significant increases in mood as well as improved appetite, energy levels and sleep cycles (Naubert & Johnson, 2011). Music therapy’s positive effects on depression are prompt and increases in mood and interaction occur during and immediately after sessions (Ashida’s, 2000). In recent years, there has been an increasing interest and evaluation of how choral singing affords health and well being benefits in clinical and non-clinical populations (Gick, 2010). Music therapists have also started to document and research choral singing as an intervention, but there remains a gap in the literature in relation to music therapist-led choral interventions and rigorous studies evaluating their effects on depression in older adults. This chapter aims to highlight the potential of choral singing as an effective music therapy intervention to reduce depressive symptoms in this population. The literature on choral singing in nonclinical and clinical populations is considered and a research project conducted by the author involving a choir of older adults is examined. Finally, some clinical considerations are made in regard to using this method in aged care settings.
... The depression scores and the fact that the depressive symptoms actually became worse in the control group over the 12 weeks supported this. The fact that the participants chose 'learning new songs' as the main benefit of the choir demonstrates that older adults are still eager to learn new skills and supports the theory that human beings are always looking for novelty in order to keep their lives purposeful and meaningful until death [86]. In fact, as participant's confidence grew they requested songs and in the questionnaire when asked for suggestions two comments included: "We could all improve our voices" and learn more songs in different languages." ...
Article
Full-text available
Depression in older adults is prevalent and often undiagnosed and untreated. This study sought to assess if participation in a music therapy choir intervention could reduce depressive symptoms and improve quality of life and cognitive functioning in older adults. In this mixed method study, 40 participants were assessed pre- and post intervention for depressive symptoms (Cornell Scale), quality of life (Cornell Brown) and cognitive functioning (Mini Mental State Examination). The treatment group (n=20) actively participated in a music-therapist led choir for 12 weeks, while the control group (n=20) received standard daily care. Mean depressive symptoms in the music therapy group were reduced by 54% (p=0.004), mean quality of life score improved by 57% (p= 0.0004) and there was a statistically significant increase in cognitive functioning (p= 0.011). Results from self-administered questionnaires highlighted perceived benefits of the intervention. 67% (n=17) reported improved mood, while 40% reported physical gains. Other themes included increased social interaction and memory improvement. The results of this controlled study indicate that the intervention significantly reduced depressive symptoms, improved quality of life and increased cognitive functioning.
Article
The aim of the present thesis was to introduce two new, complex paradigms that fulfill the required criteria for testing old couples’ cognitive problem solving abilities. The first complex problem solving paradigm, a computerized paradigm, was used in a between dyads and within dyads design when examining the problem solving performance of older couples. Here the focus was: (1) to determine the practicability of this new paradigm, and (2) to evaluate if older couples outperform the individuals within the couples when solving complex cognitive problems within an experimental setting when using this new paradigm. Further, couples with a special knowledge (in this case the capability of playing Bridge) were tested with the same paradigm and compared to couples without that special knowledge in order to examine possible differences in their capability and behavior. The second new paradigm called WCTC (Word Combination Test for Couples) was constructed on a verbal basis and focused especially on the dyadic collaborative memory performance and behavior of old couples. Here the aim was: (1) to determine the practicability of this new dyadic collaborative memory paradigm when using its simple and advanced form, and (2) to evaluate if old couples use combined collaborative memory at all, and how they perform and behave when tested with the simple and advanced form of this paradigm. The results indicate that both new paradigms were quite practicable for testing old couples’ abilities when cognitive problem solving was tested in experimental settings. When using the computerized paradigm the results showed that couples always outscored the weakest individual of the couple, including the Bridge- and Non-Bridge players. However, Bridge playing couples did not score significantly better than Non-Bridge playing couples but their behavior differed from that of Non-Bridge playing couples. When using the two WCTC paradigms, the results indicate that old couples not only do use dyadic collaborative memory but also are able to adjust their dyadic collaborative memory task to levels of more difficulty. In summary, this thesis demonstrated the two newly introduced paradigms are highly suitable when testing dyadic cognitive problem solving of old couples in experimental settings. Das Ziel der vorliegenden Arbeit war, zwei neue, komplexe Paradigmen vorzustellen, die die notwendigen Kriterien erfüllen um die kognitive Problemlösefähigkeit alter Paare zu untersuchen. Das erste Paradigma, das in etwa die Form eines Computerspieles aufweist, wurde zwischen Dyaden und in Dyaden eingesetzt um die kognitive Problemlösefähigkeit alter Paare zu prüfen. Zwei Aspekte standen dabei im Vordergrund: (1) Die Anwendbarkeit des neuen Paradigmas zu testen und (2) heraus zu finden ob Paare besser oder schlechter als die Einzelpersonen in den Paaren abschneiden, wenn komplexes, kognitives Problemlösen in einer Versuchsreihe mit diesem neuen Paradigma geprüft wird. Auch Paare mit einem Spezialwissen (hier Bridgespielen) wurden mit dem selben Paradigma geprüft und mit Paaren, die nicht des Bridgespielens kundig waren verglichen, um mögliche Unterschiede in Problemlösefähigkeit und Verhalten aufzudecken. Das zweite, neue Paradigma, das im verbalen Bereich erarbeitet wurde und den Namen WCTC (Word Combination Test for Couples) trägt, richtet sich besonders auf die in der Dyade gemeinsam erarbeitete Erinnerung und der daraus folgenden Gedächtnisleistung, einmal unter einfachen und dann unter schwierigeren Verhältnissen. Hier war das Ziel (1) die Anwendbarkeit des Paradigmas zu prüfen und (2) herauszufinden ob alte Paare überhaupt gemeinsam erarbeitete Erinnerungen benutzen, und falls dies der Fall ist, wie sie abschneiden und sich verhalten, wenn dieses Paradigma, im Rahmen der kognitiven Problemlösefähigkeit von alten Paaren, angewendet wird. Die Ergebnisse zeigen, dass beide neuen Paradigmen gut anwendbar sind, wenn die kognitive Problemlösefähigkeit von alten Paaren untersucht werden soll. Bei Einsetzung des computerisierten Paradigmas zeigte sich, dass die Paare immer besser abschlossen als die schwächste Einzelperson des jeweiligen Paares. Das gilt auch für die Bridge- und Nicht- Bridge spielenden Paare. Bridge spielende Paare schnitten nicht signifikant besser ab als Nicht-Bridge spielende Paare, jedoch war ihr Verhalten anders. Beim Einsatz des WCTC Paradigmas zeigte sich, dass alte Paare nicht nur die gemeinsam erarbeitete Erinnerung mit der daraus folgenden Gedächtnisleistung benutzen, sondern sie auch fähig sind, diese Fähigkeiten einem schwierigeren Prüfungsgrad anzupassen. Abschliessend lässt sich sagen, dass beide hier vorgestellten Paradigmen sich gut eignen um dyadische, kognitive Problemlösefähigkeit bei alten Paaren zu untersuchen.
Chapter
Das Innovationsphasenbezogene Auswertungsinstrument (IPAI) hat das Ziel, Organisationen hinsichtlich des Managements der Bausteine der Innovation zu „diagnostizeren“, d. h. ihnen zu zeigen, wo genau Verbesserungsmöglichkeiten bestehen, um welche Art von Verbesserung es sich handelt und welche Handlungen zu der angestrebten Verbesserung führen würden. Die wichtigste Innovation des Instruments ist, dass es – im Gegensatz zu anderen Instrumenten – die der Kreativität und der Innovation innewohnenden Paradoxien berücksichtigt.
Chapter
Persönliche Ressourcen bestehen aus Motivlagen, Gefühlslagen/Einstellungen, persönlichen Eigenschaften und Wissensbeständen. Verschiedene Kombinierungen davon bilden unterschiedliche Stile des Umgangs mit Herausforderungen und organisationalen Schocks. Diese Stile können als „Neigungen“ gekennzeichnet werden. Unterschiedliche Neigungen führen zu unterschiedlichen Arten von Produkt und sind für unterschiedliche Phasen des Innovationsprozesses förderlich bzw. hinderlich. Für Führungskräfte ist es wichtig, diesen Zusammenhang beim Innovationsmanagement zu berücksichtigen.
Article
Studies reveal inconclusive evidence of the relationship between executive function and creativity. Further, there is a dearth of studies investigating creativity in older adults in the Indian context. Three tests—namely, Torrance Test of Creative Thinking (Figural), the Stroop Test, and Mental Balance (PGI memory scale)—were administered on a sample of 58 middle-aged and older adults (50–64 years). Analysis revealed a significant correlation between creativity and executive function (rs = −.35). Mann-Whitney U confirmed that individuals who were above average on creativity performed significantly better on executive function. However, there was an insignificant relationship between creativity and working memory, as well as between working memory and executive function. Further, no age decline nor gender differences were found except for speed of processing, which decreased with increase with age. These findings might aid in planning interventions and cognitive retraining exercises for individuals of the same age bracket by targeting their creative strengths. Academically, they can contribute to understanding the cognitive processes underlying creativity and can further help create norms in the Indian context.
Article
Using a cross-sequential design involving 4 birth cohorts and 5 measurement periods, a curvilinear relation between aging and research productivity was found for 1,084 male academic psychologists. Productivity typically began at a low rate in the Ss' 20's, increased to a peak around age 40 yrs, then decreased in the later years. Substantial individual differences were also observed. Those who began as high publishers remained more productive than the low or medium groups at each age level examined, and even at ages 55–64 yrs they were more productive than the medium or low publishers were at their highest rate. Altogether, across cohorts and publishing levels, age accounted for 6.5% of the variance in publication rate from ages 25–34 to 55–64 yrs. (31 ref) (PsycINFO Database Record (c) 2012 APA, all rights reserved)
Article
The long-standing belief that age is negatively associated with scientific productivity and creativity is shown to be based upon incorrect analysis of data. Analysis of data from a cross-section of academic scientists in six different fields indicates that age has a slight curvilinear relationship with both quality and quantity of scientific output. These results are supported by an analysis of a cohort of mathematicians who received their Ph.D.'s between 1974 and 1950. There was no decline in the quality of work produced by these mathematicians as they progressed through their careers. Both the slight decrease in productivity over the age of 50 are explained by the operation of the scientific reward system. By encouraging those scientists who produce the most favorably received work and discouraging those who produce work that is not favorably received, the reward system works to reduce the number of scientists who are actively publishing. Those who continue to publish throughout their careers are a "res...
Article
Collaborations have produced many great achievements. To stimulate the scholarly attention that the phenomenon deserves but has not received, this article reviews anecdotal evidence and examples of collaboration from different fields and indicates various forms it can take. Several creative phenomena are reinterpreted in light of collaboration's effects, and hypotheses and methods for study are suggested. It is speculated that collaborations benefit from partner diversity and require special talents of which people differ.
Article
One hundred and twenty‐four American male architects representing three levels of eminence and creativity were studied by Donald W. MacKinnon and his collaborators in 1958–1960. The present report is based on a follow‐up of 70 of the 83 (78%) surviving architects (mean age 71 years, with a range of 62–88). The architects were individually interviewed at their place of residence between 1983–1984 and received several of the same tests they had received 25 years before, including the Adjective Check List (ACL) and the California Psychological Inventory (CPI). The present study offered the architects a chance to look back at lifelong careers, and it allowed the researchers to establish that the distinct personality characteristics of the three groups of architects remained remarkably stable, and were at least partially responsible for moderating longevity and achievement. Opportunities for full‐time practice were radically different for the three groups after age 65. The interview data suggested that factors that are responsible for successful productivity in old age include: (a) commitment and drive; (b) overlearned skills; (c) aesthetic sensitivity; (d) ability to be a good salesman; and (e) ability to delegate responsibility. The continuing impressive creativity of the architects can be best explained by Simonton's (1984) constant probability of success model.
Article
This article evaluates recent evidence for an association between creativity and bipolar mood disorders. Eminent creativity and everyday creativity are distinguished, with high rates of major mood disorders‐particularly bipolar disorders— appearing among eminent creators in the arts. However, among everyday persons, including the 4–5% of the population that may develop a bipolar “spectrum”; disorder and their relatives, it is those with relatively milder mood disorders and normalcy who may show the greatest creative advantage. These seemingly conflicting results are reconciled through comparison of research designs and the creativity and diagnostic variables studied. Evidence regarding mood states that enhance creativity is also considered, both for eminent and everyday creators, and some preliminary results from a study of patients are presented. Here, milder mood elevations were tied most closely to the experience of creativity, although other patterns can exist. Three patterns are examined in terms of 23 mood, cognitive, and behavioral features that Jamison (1989) studied in eminent creators.