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CLASS 12.

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Presentation on theme: "CLASS 12."— Presentation transcript:

1 CLASS 12

2 Intelligence Tests (IQ)

3 HISTORY 1. Binet’s Mental age (MA) 2. Stern’s Ratio formula for IQ
3. Deviation formula for IQ

4 Ratio formula IQ = (MA/CA) x 100 MA=mental age CA=chronological age

5 PROS AND CONS Can compare across ages Average=100 Problem

6 Example: Martha’s two sons
Dieter Wolfie Mental age Chronological age IQ

7 example Dieter Wolfie Mental age 7 Chronological age 5 IQ

8 example Dieter Wolfie Mental age 7 Chronological age 5 IQ 140

9 example Dieter Wolfie Mental age 7 6 Chronological age 5 IQ 140

10 example Dieter Wolfie Mental age 7 6 Chronological age 5 IQ 140 100

11 Deviation formula Separate calculations for each age group
Set average = 100 for each group Similar to using percentiles to compare students from different schools

12 PROS AND CONS Can compare across ages
Drawback – hides real differences

13 Bell Curve of IQ scores < 9.4>

14 Mental retardation -70 or below -morons, imbeciles, and idiots
Giftedness -130 or above

15 Validity of intelligence tests
Some famous tests: -Stanford-Binet -WISC -WAIS Generally successful: reliable and valid

16 Representative views:
Nature vs. Nurture Representative views: 1. Mostly genetic: Rushton, Eysenck, Jensen 2. All environment: Kamin 3. It’s 50-50: Scarr

17 Nature: Genetic Influences on IQ
- estimating heritability 1. Twin studies 2. Adoption studies

18 Identical Twins

19 Fraternal Twins

20 Logic of Twin Studies Do twins match up on a trait?
e.g. same eye color; intelligence Usually identical twins match up better than fraternal twins. Why? - identical twins share 100% of genes - fraternal twins share 50% of genes Use heritability formula (see textbook)

21 Sample heritability values
Eye color (100%) Shoe color (8%) Personality (40-60%) Intelligence (50-80%)

22 Nurture: Environmental influences
Twin & Adoption studies also confirm impact of nurture 1. Group differences 2. Economic differences 3. Test bias

23 Culture-Free Tests -- designed to avoid language handicap
-- e.g., Raven’s matrices

24

25

26 More examples See course web site


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