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The Psychology of Adult Development

Subject Lecturer: Bob Pithers

 

Paper 1

Intelligence and Metacognition

·      Spearman’s One Factor Theory

·      Hons’ Theory of Intelligence

The measure of intelligence

Developmental changes in intelligence in the middle adult years

Conclusion

Bibliography

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What is intelligence? Describe one or two attempts to measure this concept. Discuss the contention that intelligence significantly declines in the middle adult years?

 

intelligence and metacognition

The concept of intelligence is easy to understand but hard to define. In fact there are a lot of definitions by different experts, and there are different interpretation in different culture. A more modern view of intelligence is “Metacognition”, where “meta” means “after” and “cognition” means “the ability to know”. (Shiu, 2004)

Metacognition, according to Shiu(2004), is

  1. The cognition about cognition, thinking about thinking.
  2. The knowledge about cognition (offline knowledge), how to monitor and control (online knowledge), and how to make use of it to manage tasks.
  3. It is the ability to capture knowledge and skills, which include receiving information from the external environment, store it and turn it into memory, utilize it in the process of thinking, then tell oneself to make and execute decision.

 

Spearman’s one factor theory

Intelligence seemed an ability, knowledge and skills, and a mental process. Experts tried to understand intelligence, they developed different theories to explain how intelligence is formed.

Spearman’s One Factor Theory (Spearman 1904, 1927 cited in Fogart, 1999) suggested that there is a general factor “g” which is a central pool of energy, and a specific factor which is a unique engine for each task.

“g” is the knowledge about cognition (offline knowledge), and specific factor is the ability to use it (online knowledge). Thus the “g” here is the basic level of intelligence, however, which cannot be measured directly but only through tests of comprehension, memory and reasoning.

Spearman used tests which required eduction of relation and correlates as a predictor of academic ability. All the tests of cognitive tasks he suggested were positively correlated. Although different tasks require different specific factor, but they all depends on the same dominant single factor “g”, that is why all cognitive tasks used by Spearman is positively correlated. Therefore, after deducing the impact of the specific factor, the cognitive tasks can still reveal the “g”.

Later Hunt (1980) modify the concept “g” by interpretating it to reflect the ability of individual to organize processing strategies to face new kinds of mental problem. The concept of “g” is now more influenced by the concept of “metacognition”.

Godfrey Thompson further suggested that there should be a large number of independent bonds in mind. He suggested different individual possessed a subset of the universe of bonds, and that individuals differed in the number of bonds of intelligence they possessed. This helped to explain individual differences in intelligence.

Later researchers postulated the “Executive Functioning” which is a process monitors and controls the use information processing strategies, suggested that the primary difference between persons of normal intelligence and the mentally retarded lies in the degree to which people are able to develop and use information processing strategies.

It gains further support from research by Brody (1992) cited in Fogart (1999), that there is a high negative correlation between energy expenditure of the brain and score on a test of abstract reasoning. It implies that intelligent people spend little energy on a task.

After all, the “g” is understood as basic source of intelligence which comprise of a subset of bonds, different individual possessed different subset of bonds, i.e. different “g”, and it marked the individual difference in intelligence.

The One-Factor Theory undergone modifications as there was challenges and influences from the Primary Mental Ability (PMA) theory developed by Thurstone (1938). He used multiple factor analysis to sort out seven independent primary mental abilities from numerous mental tests and cognitive tasks, they are S (Space), P (Perceptual Speed), N (Number Facility), V (Verbal Relations), W (Word Fluency), M (Memory) and I (Induction & Reasoning).

It is no doubt that all mental tests and cognitive tasks are positively correlated as stated by Spearman, however, Thurstone further notice that some tasks or tests have higher correlation than the others. Based on this, he disapproved the single general intellectual factors but a set of independent primary mental abilities. However, the positive correlation among different categories of tests and tasks also suggested that the common factor among them is the “g”.

 

Hon’s theory of intelligence

Based on the general intelligence factor, Cattell (1963) has develop another branch of idea. He raised the idea of General Fluid (Gf) intelligence which is the biological capacity and process for an individual to acquire knowledge and skills, and General Crystallized (Gc) intelligence which is the store of knowledge and skills which is influenced by schooling and acculturation. And that Gf shapes Gc in the early life, and when people grows older Gf would shows a decline too. (Fogart, 1999)

John Horn (1985), as a student of Cattell reinterpreted the Gf/Gc model. Gf is the pure ability to perceive, remember, and think about a wide variety of basic ideas, and it is not affected by cultural background. Mental ability like spatial reasoning and perceptual speed are best examples of Gf.

Gc, on the other hand, is the extend to which individuals have incorporated the vlued knowledge of their culture. It involves communication, judgement and understanding about everyday affair which are all culturally valued. Primary mental ability like verbal comprehension, concept formation logical reasoning, and induction are examples of Gc.

To measure the intelligence of an individual, it involves testing both the Gf and Gc. Tests about matrices, letter series and figure relations can be used to test Gf, tests about vocabulary and analogies, remote associations and social judgment can be used to test Gc. (Fogart, 1999)

 

The measure of intelligence

Theories of intelligence were developed, however, such theories are only hypothetical construct. Intelligence is an intangible concept which cannot be measured directly. Therefore, psychometric test can only measure the intelligence indirectly by examining the performance on tasks that depends on the use of intelligence. (Hoyer et al, 2003)

On the other hand, development and use of intelligence is usually affected by the schemata, which “are generalized knowledge about objects, situations, and events”. (McCormick and Pressley, 1997, cited in Shiu 2004) The development of this depends on the cultural background, which is vary from cultural to cultural, if the same tasks are used universally, it might reveal the cultural difference rather to reflect the intelligence of an individual. Other personal factor might also affect the measure of intelligence, like personality characteristics, motivation, anxiety, fatigue.

Thirdly, there lots of theories regarding intelligence, some suggest intelligence is a factor, some suggest it is a number of independent abilities. Therefore, intelligence test should provide individuals with a wide variety of tasks. One of the most commonly used tests to measure adult intelligence is the Wechsler Adult Intelligence Scale (WAIS-R), which consists of 11 subsets with six composing a verbal scale, five to make up a performance scale. The six verbal subtests include general information, digit span, vocabulary arithmetic, comprehension, and similarities. The five performance subtests include picture completion, picture arrangement, block design, object assembly and digit symbol substitution. (Hoyer et al, 2003)

All tests are positively correlated according to Spearman, however, the tasks under the same subtest could be more highly correlated. It is because it is designed to measure the same factor or ability in a different.

The calculation of IQ is another important issue. There is a slightly difference in the calculation of children and young adolescents and the adult. However, it basically sampled a large population to see the average number of passes for different age groups to form a mental age. The actual number of passes for an individual forms the chronological age. The score of a child or a young adolescent is calculated by multiplying the ratio of mental age to chronological age by 100. Thus regardless the age of the person tested, the average IQ is always 100. (Hoyer et al, 2003)

It is easy to classify the mental age of children, however, researchers found that it is difficult to classify the mental age for the older adult, say 66 and 67. Therefore, for the adults, the score is obtained by comparing the actual number of passes of an individual to the average number of passes of the age group. The person passes the same as the average would be assessed as 100, while passes more or less than the average would be assessed as above-average or below-average IQ. (Hoyer et al, 2003)

 

developmental changes in intelligence in the middle adult years

Traditional thinking about developmental changes in intelligence thought it an obvious decline as an individual age. And it is not surprising to find that in a lots of cross sectional studies, the IQ score decline starting at the late adolescence and early adulthood, i.e. 20 years old.

However, there were steeper rates of decline in the speeded WAIS performance subtests. It implies that the slower processing of the elder brain underlies the poor performance in the nonverbal tests.

Schaie and Willis (1993) (cited in Hoyer et al, 2003) conducted a study measuring the primary mental abilities of inductive reasoning, space, number, verbal ability, speed perception, associative memory to 1,628 community-dwelling adults between 20 and 90 years of age.  The result illustrated that generally all primary mental abilities declines, however various components of intelligence decline at different rates with perceptual speed shows a quick decline and verbal ability shows a gentlest decline. More importantly, after midlife, performance on the different mental abilities varies more. Verbal ability and numeric ability is rather constant with a slight growth at the age around 40.

Despite the general decline of the overall intelligence, using factor analysis to discern the fluid intelligence and crystallized intelligence, it shows a continue growth for crystallized intelligence from adolescence to older adulthood and reached the peak at the age group of 40-50. However, the fluid intelligence shows a peak at the adolescence then keeps declining until old adulthood.

Applying Horn’s theory, fluid intelligence is the biological capacity for a person to obtain knowledge. When the brain grows older and becomes deteriorate, fluid intelligence declines accordingly. Crystallized intelligence is influenced and shaped by the external environment, it is not surprising to find that when a person grows and experiences more, the crystallized intelligence increases. However, the general intelligence is measured by the combination of two, the increment in the crystallized intelligence is offset by the decrement in fluid intelligence.

From the cross-sectional manner, it is easy to conclude that the general intelligence of an individual decline with age. But part of the abilities are still active especially when the adult reach it midlife and have cumulated various experience, education and acculturation. However, if the longitudinal study is used, it shows a different picture. It shows a continual growth of intelligence in the midlife, and a slight decline after 50. (Owen, 1966; Cunningham & Owen, 1983, cited in Hoyer et al, 2003)

The difference is due to the methodology used, the methodology of cross-sectional studies is to examine separate age groups of people at the same time, because of the cohort effect, this can only measure the developmental difference rather than the real change of a person. It tends to show different peak time in studies conducted in different chronological years.

However, longitudinal studies examine a group of person in a long time. It can reflect how a person develops in his life. Schwartzman and his colleagues (1987) examined a group of 260 men with similar educational background. They first took tests during the World War II, and retested 40 years later. Presumably the comparison of the two tests can really show the developmental change of the individuals.

It reflected that the verbal abilities were undergoing improvements, while the non-verbal ones were declining. It also showed that the men in the later years can still have high score with double time allowed. And it is only a slight decline under the normal time condition. It suggested that the slow response of older adult might performance in older adult but not as a big influence as it was thought to be.

The study also suggested that individual difference is stable over the 40 years, high score is more related to the education level rather than affected by the age factor, self-reported activity levels and personal lifestyle differences were related to test scores at both time of testing.

The result can be explained by Horn’s theory, that part of intelligence is affected by accumulated educational level and experiences. While daily lifestyle and habits varies from person to person, yet it is largely influenced by the environment that brought the person up. 

A large scale study Deattle Longitudinal Study (SLS) began in 1956, consisted of 6 cross-sectional studies and 1 longitudinal study covering 35 years, which is conducted by Schaie and his associates (2001) use the sequential research design to examine 500 participants aged between 22 and 70 with primary mental ability tests. Along with new groups of individual, they were retested at 7-years intervals until 1998. A total of more than 5,000 individual were tested in the SLS.

The independent cross-sectional data shows a general decline of intelligence level, however, when comparing the data in different time intervals, it shows a shifting tendency with later data shows peaks at a later age and the poorest performance also at a later age.

This can be explained by its own longitudinal study, which suggested that individual has gained higher or stable scores in their mid-adult years, and only a slight decline after 60.

Of course, there would be factors affecting the adequacy and accuracy of the longitudinal studies, like cohort effects, selective dropout, health problem… etc. However, it is clear that individual could be more intelligent in their old age with acculturation and accumulated education and experience. For the later generation, they have more opportunities to receive better education, and that would affect them to have a higher score than their previous generation at the same age. That is why cross-sectional studies at different years show a different level of intelligence.

 

conclusion

One thing that we have to bear in mind, is that the crystallized intelligence which tends to reach its peak at the midlife, is more likely to be the practical intelligence, because it reflects the everyday affair. But still there are lots of other practical intelligences that would seriously affect job performance were not investigated.

Psychometric intelligence test could be an indicator to the intelligence level, however it is useless to define unusual word that only appears in an IQ test. Also the IQ tests are putting elderly in disadvantages, for examples, the time limits is obviously influential to older adult in doing a test, they would be less motivated and more anxious in taking test. Besides, the original goal of intelligence tests was for academic use in schools, but not the real-world functioning. (Sternberg, 1995) Thus, the discussion about developmental changes in the middle adult years to the older adult years based on the intelligence tests designed for children to adolescence can only reflects parts of the reality.

 

 


BIBLIOGRAPHY

Athanasou, J. 1995, “Issues in the Evaluation of Adult Education”, Understanding Adult Education and Training, ed G Foley, pp. 75-88

Bransford, J. D., Franks, J. J., Vye, N. J., & Sherwood, R. D. 1989, “New approaches to instruction: Because wisdom cant be told”, Similarity and analogical reasoning, S. Vosniadou & A. Ortony Eds.) New York: Cambridge University Press, pp. 470-497

 

Chi, M. T. H., Bassok, M., Leiws, R., Reimann, P., & Claser, R. 1989, “Self-explanations: How students study and use examples in learning to solve problems”, Cognitive Science, 13, pp.145-182

Fogart, G. 1999, “Intelligence: Theories and Issues”, Adult Educational Psychology, ed., J. Athanasou, Social Science Press, Katoomba, pp. 184-196

Hoyer, W. J., Roodin, P.A. 2003, “Adult Development and Aging”, 5th ed., McGraw Hill College, Boston

Rumelhart, D. E. 1980, “Schemata: The building blocks of cognition”,  Theoretical issues in reading comprehension, R. Spiro, B. Bruce, & W. Brewer Eds, Hillsdale, NJ: Erlbaum

Shiu, Ling-po. 2004, “Metacognition”, Department of Educational Psychology, Chinese University of Hong Kong

Shiu, Ling-po. 2004, “Schemata”, Department of Educational Psychology, Chinese University of Hong Kong

Sternberg, R. 1995, “Testing Common Sense”, American Psychologist.

Wood, D. 1998, “How children think and learn”, 2nd Edition, Malden, MA: Blackwell.

 

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