Week 5 - Cognitive Assessment: WAIS-IV Flashcards
what are the 6 main factors to consider when choosing between assessment tools?
- The scope including the range of attributes that are covered by the test and the range of people with whom it can be used
- The reliability or accuracy of the measure
- The validity or the relevance of the measure
- The acceptability to potential users
- The practicality of the test regarding costs, equipment and facilities
- The fairness of the test to various groups of people
what is standardisation?
- Ensures that all conditions are as similar as possible for all individuals who are given the test
o i.e., that the normative sample is directly comparable to the person being assessed - Also ensure that no matter who gives the test and scores it, the results should be the same
what are some difficulties with standardisation?
- weird acronym (Western, educated, industrialized, rich and democratic)
- experimenter effects
- individual differences
- variability in IQ
questions to assess the applicability of a normative sample?
- How large is the sample?
- When was the sample gathered?
- Where was the sample gathered?
- How have the individuals been selected for the sample?
- Who tested the sample?
- How did the examiners qualify to do the testing?
- What was the composition of the normative sample in terms of:
o Age, sex, ethnicity, race or linguistic background, education, SES, geographical distribution, any other pertinent variables?
who is sir Francis Galton (1869-1883) and what did he do?
- Studied adults and interested in giftedness
- Developed first comprehensive test of intelligence
- Sensorimotor: reaction time, strength of squeeze, keenness of sight
o Measure of intelligence?
who is Alfred Binet (Henri and Simon) and what did he/they do?
- Investigated individual difference in children and development of mental organisation
- 1905 – Binet-Simon intelligence test
- 1908 – revised to include age levels
- 1911 – revised to include older adolescents and adult
who is Lewis Terman and what did he do?
- Translated and adapted Binet-Simon for use in the US
- Stanford Revision and Extension of the Binet-Simon Intelligence Scale (Terman, 1916) – Stanford Binet
- Viewed intelligence tests as useful for detection of intellectual impairment or superiority
- Potential for determining “vocational fitness”
how was intelligence testing used in WWI?
- Use of intelligence tests in selecting officers and placing enlisted men in types of service
o Validating tests on large samples: 1,726,966 men (Vane & Motta, 1984)
who is David Weschler and what did he do?
- gained testing experience in WWII
- took tests developed by others for non-clinical purposes to develop a clinical test battery (paired verbal tests with non-verbal tests)
- viewed intelligence tests as dynamic clinical instruments
o advocated for administration of a standard battery of both verbal and non verbal tests
o when standardising his test, put emphasis on socio-economic background rather than regional representation - developed the Weschler test based on practical and clinical perspectives rather than theory
what is the history of the Wechseler scales and their demographics?
- Wechsler-Bellevue I (1939): ages 10-79
- WAIS (1955): ages 16-64
- WAIS-R (1981): ages 16-74
- WAIS-III (1997): ages 16-89
- WAIS-IV (2008): ages 16-90
- Wechsler-Bellevue II (1946): ages 10-79
- WISC (1949): ages 5-15
- WISC-R (1974): ages 6-16
- WISC-III (1991): ages 6-16
- WISC-IV (2003): ages 6-16
- WPPSI (1967): ages 4-6.5)
- WPPSI-R (1989): ages 3-7.3
- WPPSI-III (2002): ages 2.6-7.3
- WPPSI IV (2014)
what revisions were made in the WAIS-IV?
- Update theoretical foundations
- Update the norms/Flynn effect
- Increase developmental appropriateness
- Increase user-friendliness
- Enhance clinical utility
- Decreased reliance on timed performance
- Enhancement of fluid reasoning and working memory
- Strengthening framework based on factor analysis, including CFA
- Statistical linkage to other measures, notably the Wechsler Memory Scale (WMS-IV)
- Extensive reliability and validity testing
????? update theoretical foundations
- Eliminate dual IQ/index score structure
o Consistent with WISC-IV - Enhance measure of fluid intelligence
o Develop additional measures of fluid reasoning: Figure Weights - Enhance measure of working memory
o Revise arithmetic and digit span to emphasise WM - Enhance measure of processing speed
o Develop additional PS subtests: Cancellation - Enhance theoretical foundations of the scales
o Focus upon CHC theory (but not as much or as closely as Keven McGrew’s Woodcock Johnston)
Structure of the WAIS-IV
GAI - Verbal Comprehension (VCI) o similarities o vocabulary o info o comprehension
- Perceptual Reasoning (PRI) o block design o matrix o reasoning o visual puzzles o figure weights o picture completion
CPI - working memory (WMI) o digit span o arithmetic o letter-number sequencing
- processing speed (PSI)
o symbol search
o coding
o cancellation
what are factors that are not well measured (or at all) by the WAIS-IV?
- Auditory or spatial memory or new learning
- Creativity
- Daily living skills
- Facial recognition/processing
- Bodily-kinaesthetic intelligence
- Musical intelligence
- Planning ability
- Practical (inter-personal) intelligence
- Intra-personal intelligence
- Receptive vocabulary
- Emotional intelligence
- Visual closure and gestalt
What is the Flynn effect?
- On average, American children/adults, have increased scores on intelligence tests at the rate of 3 points per decade (1930s to 1990s)
o 5 to 8 points per decade for other developing nations, i.e. France, Netherlands and Japan - Post-2000 data from Norway and Denmark, suggest that FE has stopped
o Potential decline, especially in Denmark
o But data only based on 18/90 yo males - Zhou and colleagues found that individuals with IQ > 110 had smaller FE
- adults 55-90 had larger FE
- on Bayley Scales, infants and toddlers showed reverse FE (scores dropped 6.3 per decade)
What could be contributing to the Flynn Effect?
population size increasing
growth of cities
what is the standardisation of the WAIS-IV?
N = 2,200
o Selected based on 2005 US Census data
o Stratified according to age, sex, race/ethnicity, geographic region, and educational level
o 200 examinees per age band for 16-69 years o 100 examinees per age band for 70-90 years
WAIS-IV Reliability Scores
BLOCK DESIGN
- split-half reliability (.87)
- test-retest reliability (.80)
- g loading (.68)
- strength of g as measure (fair)
SIMILARITIES
- split-half reliability (.87)
- test-retest reliability (.87)
- g loading (.68)
- strength of g as measure (fair)
DIGIT SPAN
- split-half reliability (.93)
- test-retest reliability (.83)
- g loading (.69)
- strength as measure of g (fair)
MATRIX REASONING
- split-half reliability (.90)
- test-retest reliability (.74)
- g loading (.73)
- strength as measure of g (good)
VOCAB
- split-half reliability (.94)
- test-retest reliability (.89)
- g loading (.72)
- strength as measure of g (good)
ARTHMITIC
- split-half reliability (.88)
- test-retest reliability (.83)
- g loading (.78)
- strength as measure of g (good)
SYMBOL SEARCH
- split-half reliability (.81)
- test-retest reliability (.81)
- g loading (.54)
- strength of g as measure (fair)
VISUAL PUZZLES
- split-half reliability (.89)
- test-retest reliability (.74)
- g loading (.66)
- strength of g as measure (fair)
INFO
- split-half reliability (.93)
- test-retest reliability (.90)
- g loading (.65)
- strength of g as measure (fair)
CODING
- split-half reliability (.86)
- test-retest reliability (.86)
- g loading (.55)
- strength of g as measure (fair)
LETTER-NUMBER SEQUENCING
- split-half reliability (.88)
- test-retest reliability (.80)
- g loading (.66)
- strength of g as measure (fair)
FIGURE WEIGHTS
- split-half reliability (.90)
- test-retest reliability (.77)
- g loading (.77)
- strength as measure of g (good)
COMPREHENSION
- split-half reliability (.87)
- test-retest reliability (.86)
- g loading (.68)
- strength of g as measure (fair)
CANCELLATION
- split-half reliability (.78)
- test-retest reliability (.78)
- g loading (.38)
- strength of g as measure (poor)
PICTURE COMPLETION
- split-half reliability (.84)
- test-retest reliability (.77)
- g loading (.57)
- strength of g as measure (fair)
VCI
- split-half reliability (.96)
- test-retest reliability (.96)
PRI
- split-half reliability (.95)
- test-retest reliability (.87)
WMI
- split-half reliability (.94)
- test-retest reliability (.88)
PSI
- split-half reliability (.90)
- test-retest reliability (.87)
FSQI
- split-half reliability (.98)
- test-retest reliability (.96)
What are the differences between whites and African Americans on the WAIS-IV? Weiss et al., 2010
- FSIQ differed as function of birth cohort
o 19 pts for those born 1917-1942 vs. 10 points for 1988-1991
o Race difference almost twice as large for older cohorts - IQ difference reduced when controlling for mediating variables: education, occupation, income, region, and gender
- Variable of race accounted for 15% variance in IQ
o Educational attainment (29%)