Clinical Methods Flashcards

1
Q

Clinical Neuropsychology

A

specialty domain in psychology which examines the relationship between behavior and brain fx in the domains of cognition, motor, sensory, and emotional fx

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2
Q

Fixed battery assessments

A

set of neuropsychological tests defined within a structure or conceptual framework, give in their entirety

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3
Q

Neuropsychological process assessment

A

AKA Boston Process Approach, framework that derives insights not only from final test output, but also from the process of completing cognitive tasks

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4
Q

Validity

A

Degree to which a test measures what it proports to measure

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5
Q

Predictive validity

A

degree to which test scores accurately predict scores on a criterion measure

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6
Q

Criterion validity

A

estimate of the extent to which a measure agrees with a gold standard

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7
Q

Criterion validity is limited by the test’s

A

standard deviation

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8
Q

Content validity

A

how well an instrument covers all relevant parts of the construct it aims to measure

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9
Q

Sensitivity

A

measure of validity, how accurate the screening test is in identifying disease it people who really have the disease, E.g., a metal detector that detects all pieces of metal at the beach

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10
Q

Specificity

A

ability to designate an individual who does not have a disease as negative
E.g., a pregnancy test needs to have high specificity to detect people who are not pregnant
E.g., metal detector does not detect pieces of plastic, etc.

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11
Q

Reliability

A

degree to which a test is consistent and stable in measuring what it is intended to measure, Consistent within itself and across time

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12
Q

As reliability decreases, what increases?

A

Standard error of measurement

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13
Q

Reliability coefficient

A

Value ranges from 0-1, provides estimate of the amount of obtained score variance that is due to true variance rather than error

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14
Q

AUC of a ROC curve reveals

A

the overall accuracy of a test (validity), plot of sensitivity and specificity

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15
Q

Positive Likelihood Ratio (LR+)

A

probability that a positive test would be expected in a patient divided by the probability that a positive test would be expected in a patient without the disease
True positive / false positive

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16
Q

Positive predictive power

A

probability that a person has a disease or condition given a positive test result
Sensitivity!

17
Q

Negative predictive power

A

probability that a person does not have a disease or condition given a negative test result
Specificity!

18
Q

Type I Error

A

False positive, determines something is true when it is actually false (too sensitive)

19
Q

Type II Error

A

False negative, wrongly indicates that someone does not have the condition when they do (too specific)

20
Q

Error variance (variability)

A

score that is produced by extraneous factors not attributable to the independent variable or other controlled experimental manipulations
Amount of variance explained by other factors

21
Q

Measurement errors

A

observational errors, differences between actual response and the measured response value

22
Q

Practice effects

A

any change or improvement that results from practice or repetition of task items

23
Q

Regression to the mean

A

stat phenomenon, natural variation in repeated data look like real change, unusually large or small measurements tend to be followed by measurements closer to the mean

24
Q

Hit rate

A

the percentage of cases in which a test accurately predicts success or failure on those people selected and rejected, Goal is to maximize hits and minimize misses (means test is is able to differentiate between people on a characteristic = sensitive and specific)

25
Q

Base rate

A

percentage of the population that have the characteristic

26
Q

Standard deviation

A

average amount of variability in the dataset
On average, how far each value lies from the mean

27
Q

Standard Error of Measurement (SEM)

A

estimates how repeated measures of a person on the same instrument tend to be distributed around their “true” score, inversely related to reliability

28
Q

Statistical significance

A

measure of the probability of the null hypothesis being true compared to the acceptable level of uncertainty regarding the true answer, Statistical likelihood of a score

29
Q

Percentiles

A

value that divides a set of observations into 100 equal parts = proportion of values that a specific value is greater than or equal to

30
Q

T-test

A

statistical test that compares the means of two samples

31
Q

ANOVA

A

statistical formula used to compare variances across the means of different groups

32
Q

ANCOVA

A

analysis of covariance in combination of an ANOVA and regression analysis
Examines influence of independent variable on a dependent variable while removing the effect of the covariate factor

33
Q

Item difficulty index

A

for items with one correct alternative worth a single point, the item difficulty is simply the percentage of students who answer an item correctly

34
Q

Reliability is important ethically so that

A

Test is less affected by internal rate conditions that are unimportant to the measurement purpose or test situation’s conditions

35
Q
A