Chapter 12 — Intelligence (Comprehensive Bullet-Point Notes)
Learning Outcomes
12.1 Describe the nature of intelligence
12.2 Explain how intelligence is measured
12.3 Distinguish among different approaches to intelligence
12.4 Discuss the extent to which intelligence is inherited or learned
Conceptual Overview of “Intelligence”
Definition: application of cognitive skills & knowledge to learn, solve problems, reach culturally-valued goals
Properties - Multifaceted (expressed in many domains)
Functional (goal-directed, adaptive)
Culturally shaped/defined
Practical vs academic vs social facets recognised by laypersons
Intelligence = “capacity for goal-directed adaptive behaviour” (Sternberg & Salter, 1982)
Evolutionary view: solves problems of adaptation ⇒ survival, reproduction
Cognitive view: “applied cognition” (use of cognitive skills to solve problems)
Provisional working definition (Gardner 1983): see bullet 1 above
Opening Case: The Tao Family (Real-World Illustration)
Parents: Billy (paediatrician) & Grace (honours maths/physics); migrated from HK → Adelaide, 1972
Three sons demonstrate extremes of intellectual functioning - Terry Tao (“Mozart of maths”): mastered primary curriculum in kindergarten; uni lectures by 9; BSc 16, MSc 17, PhD Princeton 20; youngest UC Berkeley full professor (24); numerous awards
Nigel Tao: IQ ~ 180; bronze medals in 2 International Mathematical Olympiads; Google software engineer
Trevor Tao: diagnosed autism @ 2 (late speech, cue cards, repetitive behaviour, routine rigidity); integrated into regular school; PhD applied maths; represented Australia at Chess & Math Olympiads; musical savant—played 1st movement of Dvořák’s “New World” from memory at 11 (orchestral work, never written for piano)
Raises key questions: - What is intelligence?
Measurement accuracy & cultural neutrality?
One general trait vs multiple kinds?
Nature vs nurture? (parents both talented in maths; enriched environment)
Early History & Pioneers
Sir Francis Galton (1822-1911) - Darwin’s cousin; aristocrat
First systematic mental testing lab (London 1884 exposition); sensory, motor, reaction-time tasks for 3 pence/subject; ~10 000 participants
Found poor correlations with social class ⇒ sensory tasks NOT good proxies
Statistical legacy: correlation coefficient
Alfred Binet (1857-1911) - Goal: identify French schoolchildren needing special help
Binet–Simon scale 1905; tasks from simple→complex; concept of Mental Age (MA)
Lewis Terman (Stanford, 1916) - Stanford–Binet; introduced Intelligence Quotient formula IQ = (MA/CA) * 100
Extended purpose from school placement → broader ability prediction
Group Tests WW-I - Army Alpha (literate) & Beta (illiterate/non-English); > 1.7 million tested
Cultural & linguistic bias (e.g., immigrants)
“Dictation test” in White Australia Policy era analogous bias
Contemporary Major IQ Scales
Stanford–Binet 5 (Roid & Barram 2004) - Age 2 → 85+
Based on Cattell–Horn Gf-Gc (measures fluid reasoning, knowledge, quantitative reasoning, visual-spatial processing, working memory)
Wechsler Family - WAIS-IV (2008) adults, WISC-V (2014) children 16↓, upcoming WAIS-V
Indexes
Verbal Comprehension (VCI)
Perceptual Reasoning (PRI)
Working Memory (WMI)
Processing Speed (PSI)
Optional General Ability Index (GAI = VCI+PRI composite)
Subtests examples: Similarities, Vocabulary, Information, Block Design, Matrix Reasoning, Digit Span, Symbol Search, etc.
Abandoned MA; IQ = position on age-normed normal curve (mean 100, SD 15)
Frequency Distribution - Bell curve; 68 % between 85-115; 2 % < 70 (intellectual disability threshold); 2 % > 130 (gifted)
Reliability & Validity
IQ to school grades r ~ .60–.70 (comparable to height–weight)
Test–retest reliability high (WISC stability across 3 yrs childhood)
Validity goal-dependent; must supplement with other measures
Criticisms - Limited theoretical basis; ignore practical intelligence, creativity, socio-emotional skill
Cultural bias; favour white middle-class Western learning modes
Speed emphasis may penalise cultures valuing deliberation
Culture-Free vs Culture-Fair attempts largely unsuccessful; cultural influence persists
Extremes of Intelligence
Intellectual Disability - Definition: IQ < 70 + significant adaptive deficits onset < 18 yrs
Only ~10 % severe/profound (< 50)
Causes
Genetic: Down syndrome (trisomy 21), PKU (diet-modifiable)
Teratogens: alcohol (Fetal Alcohol Syndrome), cocaine
Psychosocial: poverty, maltreatment, low maternal education
Stats: 6.5 % of Australians with disability have ID; 190 000 kids 0-14 (4.3 %)
Giftedness - Often IQ > 130; but includes musical, athletic, social talents
Terman’s “Termites” longitudinal: high IQ ⇒ average up adjustment, success; later dissatisfaction if expectations high
Australian data: IQ 160+ children risk social isolation; need enrichment
Cultural conceptions: Maori & Aboriginal giftedness includes linguistic, spatial, naturalistic, spiritual domains (Gibson & Vialle 2020)
Programs like Moorditj Kulungar highlight hidden Aboriginal giftedness
Creativity - Defined: ability to produce valued novel outcomes
Moderately correlated with IQ; divergent thinking a measure (e.g., alternate uses for paperclip)
Personality correlates: high energy, risk-taking, intrinsic task engagement
Domain-specificity evidence (Baer 2012)
Approaches to Intelligence
Psychometric (Structure-of-Intellect)
Uses factor analysis to see which abilities cluster
Spearman Two-Factor - g general factor
s specific factors (e.g., verbal, numerical)
Thurstone: 7 primary mental abilities (word fluency, reasoning, etc.)
Carroll Three-Stratum - Stratum III: general (g)
Stratum II: broad abilities (fluid Gf, crystallised Gc, visual, auditory, memory, processing speed, reaction/decision speed)
Stratum I: 60+ narrow abilities
Cattell–Horn Gf-Gc - Fluid (Gf): reasoning, pattern-analogy, novel problem solving
Crystallised (Gc): acquired knowledge, vocabulary
Seven specific factors (STM, LTM, Gv, Ga, Gs, Gt, quantitative QK)
Developmental trajectories (Gc up to ~60; Gf down after mid-20s)
CHC (Cattell–Horn–Carroll): integrative modern model; basis of recent test revisions
Information-Processing (Cognitive)
Focus on “how” intelligence operates
Key variables - Processing speed (letter pair tasks; AA vs Aa reaction time)
Knowledge base (amount, structure, accessibility; expert schemas)
Strategy acquisition & application (mnemonics, problem-solving heuristics)
Differences in these predict IQ & achievement; changes with age (speed peaks young; knowledge base grows)
Multifactor / Functional Theories
Sternberg Triarchic - Analytical (componential) — academic / IQ-type
Creative (experiential) — novel solutions, insight
Practical (contextual) — “street smarts”, adapt-shape-select environments
Underpinned by meta-components (planning, monitoring), performance components (executing), knowledge-acquisition components (learning)
Gardner Multiple Intelligences - Eight core: Linguistic, Logical/Mathematical, Spatial, Musical, Bodily/Kinaesthetic, Interpersonal, Intrapersonal, Naturalistic
Possible additions: Spiritual / Existential
Criteria: neurological modularity, existence of prodigies/savants, distinct developmental courses
Emotional intelligence ~ Inter- & Intra-personal domains
Emotional Intelligence (Mayer, Salovey, Goleman) - Abilities: perceive, use, understand, manage emotions
Linked to leadership (Australian executive study), academic success, life satisfaction; measurement issues (self-report vs performance)
Measurement Ethics & Cultural Issues
APS apology 2016 for past misuse of Western tests with Indigenous Australians
Koori IQ Test (Wilson-Miller 1982) illustrates cultural loading
NAPLAN: national literacy/numeracy; concerns “teach to test” & school marketing bias
Australian Early Development Census includes social, physical, emotional domains acknowledging broader influences
Work & forensic contexts: question of IQ necessity for competent judgement (ethical dilemmas)
Heredity vs Environment
Evidence from Correlations
Relationship | Genetic Relatedness | r(IQ) | Notes |
---|---|---|---|
Same individual (retest) | 1.0 | .87 | reliability ceiling |
MZ twins together | 1.0 | .86 | almost identical |
MZ twins apart | 1.0 | ~.75 | strong genetic effect |
DZ twins together | .50 | .62 | environmental boost |
Siblings together | .50 | .41 | |
Siblings apart | .50 | .24 | |
Parent–child together | .50 | .35 | |
Parent–child apart | .50 | .31 | |
Adoptive parent–child | 0 | .16 | low genetic link |
Unrelated children together | 0 | .25 | shared env effect |
Spouses | 0 | .29 | assortative mating |
Heritability of IQ ~ .45 childhood to .75 adulthood (Western middle-class)
Genes identified (chromosome 6 hormone receptor; chromosome 4 variants) each explain only 1-3 % variance
Environmental Risk / Enrichment
Sameroff family risk index: cumulative risks (low maternal education, mental illness, minority status, large family) correlate r ~ .70 with IQ at 4 & 13
Longitudinal Australian data: early aggression/restlessness + marital instability double delinquency risk @ 14 (Bor et al., 2004); SES to poorer learning behaviours; teacher expectations bias
Remote Indigenous children: lower literacy linked to remoteness, language, health, SES; yet superior visuospatial & working-memory strengths suggest need for strength-based pedagogy
Enriched animal environments increase brain mass & learning to analogous human effects
Caveats in Heritability Interpretation
Heritability stats assume random mating/environments; assortative mating & niche-picking inflate estimates
Coefficients population-specific; twin studies mostly middle-class; variation wider to heritability decrease
Group Differences
Historical misuse: 1961 NSW board blamed Aboriginal retention on low IQ; tests culturally biased
Flynn Effect: average IQ increased ~3 pts/decade in industrial nations; environment (modernisation, complexity, nutrition, test design) key
Analogy: average male height increased 11 cm 1913→2004; heritability still high within cohorts; shift itself environmental
Practical & Professional Implications
Psychologists must master administration/interpretation (Psychology Board of Australia requirement; WAIS, WISC)
Testing uses: educational placement (gifted, disability), clinical diagnosis, TBI assessment, personnel selection (ethical caution)
Admissions/employment decisions should triangulate IQ with motivation, social skills, task-specific samples; avoid sole reliance
When designing assessments cross-culturally: tailor to local values, translate cautiously, incorporate culturally valid constructs
Sternberg et al. 2021—10 counter-assumptions for gifted identification (comprehensive assessments, gene–environment transactions, transformational vs transactional giftedness, cultural views, responsible non-verbal tests, etc.)
Ethical, Philosophical & Societal Reflections
Intelligence partly match between person & historical context (e.g., modern media careers)
Debates around IQ, genetics, race coloured by social history; need open, careful, sensitive research
APS apology highlights responsibility to avoid diagnostic/assessment harm to marginalised groups
Ongoing question: relationship between intelligence & wisdom; overlap or distinct constructs?
Key Formulas & Statistics
IQ = (MA/CA) * 100 original ratio
g–task PET activation: dorsolateral prefrontal cortex (qualitative)
Flynn effect: Change in IQ ~ 3 points/decade
Apply & Discuss Prompts (Condensed)
Relationship between intelligence & wisdom
Comparing psychological yardsticks across domains (chef vs electrician vs doctor)
Impact of language/culture on Koori IQ Test performance
Creativity domain-specificity; can one be creative but not “intelligent” or vice versa?
Emotional intelligence versus general intelligence relationship hypothesis
Interim Summaries (Consolidated)
Intelligence: multifaceted, functional, culturally bound
Tests: psychometric tools; high reliability/validity for scholastic prediction; culturally limited
Approaches: psychometric (g + factors), cognitive (process variables), practical/multiple (triarchic, MI)
Nature vs nurture: both significant; genes stronger within-group, environment drives between-group & temporal shifts
Concluding Synthesis for Exam Prep
Know definitions, formulas, test structures, factor models
Relate real-world cases (Tao family, Army tests, NAPLAN, Indigenous contexts)
Be able to critique tests re: validity, reliability, cultural fairness
Understand multifactor theories & evidence supporting/criticising each
Anticipate essay Qs on nature-nurture, giftedness, intelligence measurement ethics, and modern expansions (emotional, practical, multiple intelligences)