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Published byWesley Horton Modified over 9 years ago
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Assessing Intelligence
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Origins of Testing Early 20 th Century France requires all children attend school How to determine who would benefit? Were they “dull” or just unprepared
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Origins of Testing Alfred Binet – Predicting School Achievment – Binet assumes all children follow same development and develops test – “Dull” would be like a child younger – “Bright” would score like older child – He measured “mental age” – level of average child at that age – Test was not to “measure” intelligence, but to identify French children that needed educational help
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Origins of Testing Lewis Terman – The Innate IQ – Stanford professor – Binet’s French test didn’t work for California kids – Modified Binet’s test, extended from teens to “superior adults” – Still known as Stanford-Binet test – US government used it on immigrants and WWI army recruits
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Origins of Testing Francis Galton – Eugenics – 19 th century movement to measure human traits and encouraging only smart/fit people to reproduce – Terman thought IQ testing would “curtail the reproduction of feeblemindedness and eliminate crime and poverty” – Eventually showed how science can be value driven
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Intelligence Quotient Original way to compute: – IQ = Mental Age x 100 (no decimal) Chronological Age – If your mental & chronological age is same, your IQ is 100 (average) What happens if a 40 year old take the test? How does that score work? It is not computed this way any longer, but still called IQ
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Modern Tests Achievement Tests – designed to assess what a person has learned Aptitude Tests – designed to predict a persons future performance; aptitude is the capacity to learn
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Modern Tests David Wechsler – Wechsler Adult Intelligence Scale (WAIS) – most widely used IQ test Wechsler Intelligence Scale for Children (WISC) and another for preschoolers – WAIS consist of 15 subtests, including these: Similarities – reasoning the commonality of 2 objects Vocabulary – Naming items or defining words Block Design – Visual abstract processing Letter-number sequencing – on hearing a series of numbers/letters, repeat numbers in ascending order and letters in alphabetical (R-2-C-1-M-3) – Gives overall score and separate scores
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Test Construction Standardization – Defining uniform testing procedures and meaningful scores by comparison with the performance of a pretested group – One person’s score means nothing until compared against other
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Test Construction Normal Curve – Bell curve – Tests are re-standardized to keep avg at 100
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Test Construction Reliability – Extent to which a test yields consistent results – How to check? Retest people – Use same test or maybe just use odds or evens – If scores generally correlate, it’s reliable – Stanford-Binet, WAIS, and WISC have reliabilities of about +.9
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Test Construction Validity – Extent to which test actually measures what it predicts or promises Content Validity – Extent to which a test samples the behavior of interest – Ex. Driver’s test Predictive Validity – Success that a test predicts behavior it’s designed to predict
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