Assess/Eval Flashcards

Content Quiz (17 cards)

1
Q

Mean (Full Scale, Composite Scale)

A

100 SD +/- 15

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2
Q

Mean (Subtests)

A

10 SD +/- 3

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3
Q

Mean (Z-scale)

A

0 SD +/- 1

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4
Q

Normative Sample: Validity (define)

A

Quality of test interpretation or use. Validity depends on how well-funded, trustworthy, and reliable the resource is.

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5
Q

Content Validity (define)

A

Items on the test tells if a child has a disorder.

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6
Q

Construct Validity (define)

A

The ability of the test to tell if a child has a disorder.
-how well does the test measure what it was intended to measure?

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7
Q

Discriminant Accuracy (define)

A

How accurate does a test need to be in distinguishing a language disorder?

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8
Q

The Vance and Plante Standard

A

-90% accuracy or better is good
-80%-89% accuracy is fair
-below 80% is unacceptable

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9
Q

Reference Standard

A

Definition of who has a language disorder, who doesn’t, and/or who receives services.

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10
Q

Intra-reliability

A

Is the test outcome the same when administered by the evaluator?

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11
Q

Reliability and Validity: Standard Error of Measurement

A

Any reported test scores must be given through a confidence interval

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12
Q

Specificity

A

The specificity of a test is its ability to designate an individual who does not have a disease as negative.

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13
Q

Sensitivity

A

Sensitivity refers to a test’s ability to designate an individual with disease as positive.

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14
Q

Criterion/concurrent validity

A

Concurrent validity measures how a new test compares against a validated test, called the criterion or “gold standard.”

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15
Q

Inter-rater reliability

A

Inter-rater reliability (IRR) refers to the reproducibility or consistency of decisions between two reviewers and is a necessary component of validity

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16
Q

Test-retest reliability

A

Test-retest reliability is a statistical measure commonly used to assess the consistency and reproducibility of results obtained from healthy controls in research studies.

17
Q

Confidence Interval

A

A confidence interval refers to the probability that a population parameter will fall between a set of values for a certain proportion of times.