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Flashcards in Assessment issues Deck (32)
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1
Q

What is evidence-based neuropsychology practice?

A

Providing care integrating clinical data, research literature, individual patient characteristics, financial realities, and cultural/social norms.

2
Q

What is flexible-battery approach?

A

Hypothesis-driven approach, systematic screening of all domains, more detailed assessment when deficits are identified

3
Q

What is process approach?

A

Focusing less on test scores and more on behavioral processes while obtaining that score

4
Q

What is normative comparison standard?

A

Species specific standard (e.g., language development) - lack is a pathognomonic sign (abnormal)
Population average - important to know whether distribution is normal or skewed
Does not provide sufficient information to identify a deficit within an individual, premorbid level of function is important

5
Q

What is individual comparison standard?

A

Comparison of scores relative to premorbid level of ability

6
Q

What is an example of ordinal data?

A

Likert scale data

7
Q

What is an example of interval level data?

A

T scores

8
Q

What is the difference between sensitivity and specificity?

A

High sensitivity rules out dx with a negative test result (sn-nout)
High specificity rules in a dx (sp-pin)

9
Q

What is positive/negative predictive value?

A

Likelihood that the person has the disease when the test is positive
Or negative when the condition is absent

10
Q

How is prevalence rate related to SN, SP, PPV, and NPV?

A

Prevalence rates affect PPV and PNV but not SN and SP

Decreased prevalence rate - decreased PPV

11
Q

What is post-test probability?

A

PPV for a positive test

1-NPV for a negative test

12
Q

What is the difference between pre-test probability and pre-test odds?

A

Pre-test probability = prevalence rate

Pre-test odds = prevalence/1 - prevalence

13
Q

What is LR+?

A

Likelihood ratio positive - estimate of how much a positive test result will change the odds of having the disease
Based on ratio of SN and SP

The more LR deviates from 1, the stronger the likelihood that the disease is present (LR >1)

14
Q

What is LR-?

A

LIkelihood ratio negative - change in odds of not having a disease when a test result is negative

The more LR deviates from 1, the stronger the likelihood that the disease is absent (LR < 0.01)

15
Q

What is the difference between odds ratio and likelihood ratio?

A

OR - measure of effect size, how harmful/beneficial an exposure is to an individual

LR - extent to which a particular test value increases the likelihood of disease being present or absent

16
Q

What is parametric statistical modeling?

A

Impairment defined relative to group

Based on extrapolation of the central limit theorem

17
Q

Bayesian statistical modeling

A

Impairment relative to an individual comparison standard

Using corrective variables to improve accuracy of prediction

18
Q

What are some cautions in interpreting scores as impaired?

A

Family-wise error rate - increasing likelihood of a positive test finding when multiple tests are administered

Lower IQ = more low scores
Higher IQ = more variability

19
Q

What is confirmatory bias?

A

Excluding contradictory test findings or history when it does not fit with a suspected disease or condition

20
Q

LR of a positive test compares

A

True positives to false positives

21
Q

LR of negative test compares

A

False negatives to true negatives

22
Q

LR of 1 indicates

A

That test result is just as likely in those with and without condition and the result does not add much relevant information

23
Q

What is the risk of focus on deficit measurement?

A

Underappreciating diversity and overattributing lo scores to brain injury/disease

24
Q

What are 5 principles for interpreting scores? (from Iverson in LBB)

A

1) low scores are relatively common across all test batteries
2) low scores depend on where you set your cutoff score
3) low scores vary by number of tests administered
4) low scores vary by demographic characteristics of examinee
5) low scores vary by level of intelligence

25
Q

What is the limitation of using normal curve in NP?

A

NC relates to a single score, while NP rely on multiple tests, which yield multiple scores.
E.g., a FP rate of at least one lost score will be considerably higher than that of a single test score

26
Q

What is the relationship between low scores and intelligence?

A

Patients with below average intelligence will have more low scores than those with above Ave I.

Among healthy older adults, 22-38% will have one or more scores below 5th %ile across a battery of memory tests; the number of low scores varies by intelligence

27
Q

What is the relationship between the length of battery and low scores?

A

The more tests given, the more likely a person to have >1 scores 1SD below the mean

Increasing number of tests will result in increased number of false positive for people with below ave I and increased rate of false negatives for people with above ave I

28
Q

What are some factors contributing to low scores?

A

Measurement error
Normative sample characteristics
Longstanding weaknesses
Situational: fluctuations in motivation, fatigue, inattentiveness, minor illness

29
Q

What is the relationship between SN, SP, and cutoff scores?

A

Higher cutoff - improve SN, reduce SP (more likely to correctly identify those with problems but also include those without)

30
Q

What are sex differences in NP to consider?

A

Women better on tasks of verbal learning and memory, verbal fluency, processing speed, and motor dexterity.

Men better on motor speed, some visual-spatial and visual-constructional tasks, arithmetic reasonign and computations.

31
Q

What is the key factor affecting test interpretation?

A

Sample characteristics, including size, non-normal distributions, skew, etc.

32
Q

What are factors that affect comparison of performance across tests?

A

Sample differences, measurement error, score magnitude, extreme scores, ceiling and floor effects, extrapolation/interpolation of scores