Here is an article a friend sent to me a few minutes ago. It's called Intelligence Testing: Accurate or Extremely Biased? It's from neuroethicsblog.com.
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In the early 1900s, psychologist Charles Spearman noticed that children who did well in one subject in school were likely to do well in other subjects as well, and those who did poorly in one subject were likely to do poorly across all subjects. He concluded that there is a factor, g, which correlates with testing performance (Spearman 1904). The g factor is defined as the measure of the variance of testing performance between individuals and is sometimes called “general intelligence”.
Later on, psychologist Raymond Cattell determined that there are two subsets of g, called fluid intelligence (denoted Gf) and crystallized intelligence (denoted Gc). Fluid intelligence is defined as abstract reasoning or logic; it is an individual’s ability to solve a novel problem or puzzle. Crystalized intelligence is more knowledge based, and is defined as the ability to use one’s learned skills, knowledge, and experience (Cattell 1987). It is important to note that while crystallized intelligence relies on knowledge, it is not a measure of knowledge but rather a measure of the ability to use one’s knowledge.
The first standardized intelligence test was created in 1905 by French Psychologist Albert Binet, as a method to screen for mental retardation in French schoolboys. The test measured intelligence by comparing an individual’s score to the average score of children his own age (Binet 1905). The test was later revised by Lewis Terman of Stanford University and named the Stanford-Binet Intelligence Scales. The Stanford-Binet is now in its fifth edition and includes five sections: fluid reasoning, knowledge, quantitative reasoning, visual-spatial processing, and working memory.
Since the Stanford-Binet, many other standardized intelligence scales have been developed. One of the most popular modern intelligence tests is the Raven’s Progressive Matrices (RPM) test (Raven, 2003). The test gives individuals a series of boxes, each containing shapes that change from box to box, and a box that is empty. The test taker must recognize the pattern that is shown and correctly identify the shape that should go in the empty box from a collection of options. Unlike the Stanford-Binet, RPM is entirely visual; the test taker does not have to answer written questions, meaning the measured IQ is not dependent on reading comprehension. This allows for better testing that eliminates variables such as native language, age, and possible reading disability.
So what exactly are these IQ tests measuring? The Stanford-Binet measures g through tasks that measure both Gf and Gc. Because RPM is entirely non-verbal and puzzle based, it almost exclusively measures Gf.
Which brings us to the next question; are these tests effectively measuring g?
Since their creation, modern Western intelligence testing has shown a difference in average intelligence, varying from group to group; whites score higher than blacks, the rich score higher than the poor. In some tests, women and men score differently from task to task. Are these differences due to heritable differences in intelligence between race, gender, and socioeconomic status? Or are environment, schooling, and stigma to blame? Or, are the tests themselves flawed?
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In the early 1900s, psychologist Charles Spearman noticed that children who did well in one subject in school were likely to do well in other subjects as well, and those who did poorly in one subject were likely to do poorly across all subjects. He concluded that there is a factor, g, which correlates with testing performance (Spearman 1904). The g factor is defined as the measure of the variance of testing performance between individuals and is sometimes called “general intelligence”.
Later on, psychologist Raymond Cattell determined that there are two subsets of g, called fluid intelligence (denoted Gf) and crystallized intelligence (denoted Gc). Fluid intelligence is defined as abstract reasoning or logic; it is an individual’s ability to solve a novel problem or puzzle. Crystalized intelligence is more knowledge based, and is defined as the ability to use one’s learned skills, knowledge, and experience (Cattell 1987). It is important to note that while crystallized intelligence relies on knowledge, it is not a measure of knowledge but rather a measure of the ability to use one’s knowledge.
The first standardized intelligence test was created in 1905 by French Psychologist Albert Binet, as a method to screen for mental retardation in French schoolboys. The test measured intelligence by comparing an individual’s score to the average score of children his own age (Binet 1905). The test was later revised by Lewis Terman of Stanford University and named the Stanford-Binet Intelligence Scales. The Stanford-Binet is now in its fifth edition and includes five sections: fluid reasoning, knowledge, quantitative reasoning, visual-spatial processing, and working memory.
Since the Stanford-Binet, many other standardized intelligence scales have been developed. One of the most popular modern intelligence tests is the Raven’s Progressive Matrices (RPM) test (Raven, 2003). The test gives individuals a series of boxes, each containing shapes that change from box to box, and a box that is empty. The test taker must recognize the pattern that is shown and correctly identify the shape that should go in the empty box from a collection of options. Unlike the Stanford-Binet, RPM is entirely visual; the test taker does not have to answer written questions, meaning the measured IQ is not dependent on reading comprehension. This allows for better testing that eliminates variables such as native language, age, and possible reading disability.
So what exactly are these IQ tests measuring? The Stanford-Binet measures g through tasks that measure both Gf and Gc. Because RPM is entirely non-verbal and puzzle based, it almost exclusively measures Gf.
Which brings us to the next question; are these tests effectively measuring g?
Since their creation, modern Western intelligence testing has shown a difference in average intelligence, varying from group to group; whites score higher than blacks, the rich score higher than the poor. In some tests, women and men score differently from task to task. Are these differences due to heritable differences in intelligence between race, gender, and socioeconomic status? Or are environment, schooling, and stigma to blame? Or, are the tests themselves flawed?
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Working with geriatric patients at the hospital, each morning we had to ask them 10 questions to check their mental status. Date, month, year, day of week and season, then where are we - state, city, county, where you are from city and state. I'd change the questions sometimes - if they didn't live here, does not knowing the county mean they're confused? No, although most nurses would put them down as confused. Also, not working it's easy to lose track of what day it is and if you're in the hospital, it's even easier. So fair? Not at all. You can tell someone is confused when they tell you it's 1965 and Johnson is president, but not if they just can't happen to remember what day today is.
), read your posts
