Week 5 - Psychometric Assessment (neurology) Flashcards

(25 cards)

1
Q

What are examples of conditions requiring a neuropsychological assessment?

A
  1. TBI - traumatic brain injury
  2. Stroke
  3. Dementia - Alzheimer’s, Parkinson’s
  4. Epilepsy
  5. Psychiatric disorders
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2
Q

What are 7 cognitive abilities that are assessed in neuropsychology?

A
  1. Orientation - are they confused/disoriented?
  2. Intellectual functioning
  3. Memory
  4. Language
  5. Attention and concentration
  6. Visual perception
  7. Executive - frontal lobe
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3
Q

Rationale of deficit measurement - comparing to population norms

A

Lezak argues that we can only quantify an individual’s acquired impairment compared with an “optimal” performance

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4
Q

Neuropsych assessment approach 1: Halstead-Reitan Test Battery

A

Standardised test for brain-behaviour relationships in kids/adolescents.

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5
Q

Neuropsych assessment approach 2: Boston process approach

A

To analyse HOW someone performs a task/test, rather than the final outcome.

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6
Q

What is a fixed battery?

A
  • Quantitative/acturial
  • Halstead-Reitan Neuropsychological Test Battery
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7
Q

What is a flexible battery?

A
  • Qualitative/process oriented
  • Boston Process Approach
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8
Q

What are four things to compare a patient’s performance with?

A
  1. Premorbid performance
  2. Peers
  3. Cognitive ability
  4. Different subscales
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9
Q

What is CTT Reliability, and what is the equation?

A

Classical Test Theory: understand how measurement errors affect test scores.

Observed score = true score + error score

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10
Q

What are four sources of error?

A
  1. Environmental: distractions
  2. Individual: fatigue, boredom
  3. Test administrator
  4. Test itself
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11
Q

What are reliability and validity?

A
  • reliability = consistency of results
  • validity = does the test measure what it says? Generalisation to wider population
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12
Q

Reliability - test-retest

A

How reliable are test scores over time?
- High correlation = great!

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13
Q

Reliability - Inter-rater

A

Agreement between raters for rating scales (Intraclass Correlation Coefficient [ICC]).
- Do we both look at the colour blue and both see blue?
- Do two different teachers rate the same student the same on the test?

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14
Q

Reliability - Internal consistency

A

How well do items collectively measure the same underlying construct?
- Split-half: 1 half of test is summed and correlated with other half for Pearson’s r.
- Cronbach’s Alpha: above 0.7 is acceptable, 0.8 is good and 0.9 is excellent!
- Lower when co-variance of items differ.

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15
Q

Reliability - Standard Error of Measurement (SEM)

A

The Error bar around a test score
- smaller suggests more precise
- bigger suggests score is affected by random error

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16
Q

Validity - Face validity

A

How does the measure appear to respondents on the surface level?

17
Q

Validity - Content validity

A

Is the test comprehensive and relevant to everything it aims to assess?
- eg. shapes flavours, but one is missing = bad content validity

18
Q

Validity - Criterion validity (C + P)

A

Does the measure correlate well with another measure of a gold standard?
- Concurrent: predicts outcome at one time point (cross-sectional)
- Predictive: predicts variable at at a future time (longitudinal)

19
Q

WAIS

A

Wechsler Adult Intelligence Scale - measures cognitive abilities

20
Q

Validity - Construct validity (D + C)

A

Does the test measure things theoretical constructs? eg. IQ, happiness.
- Discriminant: doesn’t align with things that are different
- Convergent: does align with things that are similar

21
Q

What is utility?

A

Utility is the practical aspects of the test eg. time, expenses, readability.

22
Q

What is sensitivity?

A

How often test predicts a positive.
Good sensitivity: true positive
Poor sensitivity: false negative

23
Q

What is specificity?

A

How often a test predicts a negative.
Good specificity: true negative
Poor specificity: false positive

24
Q

What is PPV?

A

Positive predictive value = probability of a true positive

25
What is NPV?
Negative predictive value = probability of a true negative