Test construction Flashcards

(17 cards)

1
Q

Incremental validity

A

Criterion validity; amount of improvement in success rate from using a predictor test

Is optimized when base rate is moderate and selection ratio is low

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2
Q

Concurrent Validity

A

Criterion validity; predictor and criterion are measured close in time

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3
Q

Predictive validity

A

Criterion validity; Significant gap in time between measuring the predictor and the criterion.

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4
Q

Face Validity

A

Level of test subjectively appears to measure what it’s intended to

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5
Q

Consequential validity

A

Addresses whether a test has a positive or negative social consequence.

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6
Q

Convergent validity

A

Construct validity; correlates a test with other available measures of the same trait

Monotrait-heteromethod; high correlations establish convergent validity

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7
Q

Divergent (discriminant) validity

A

Construct validity; correlates a test with measures of different traits. Should have low correlation with other measures of different constructs

Heterotrait- monomethod; low correlations establish divergent validity

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8
Q

Sensitivity

A

Tests ability to accurately identify true positives

TP divided by TP + FN

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9
Q

Specificity

A

Tests ability to accurately identify true negatives

TN divided by TN + FP

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10
Q

3 types of validity and their subtypes

A

Content, Criterion; concurrent, predictive, Construct; convergent, divergent

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11
Q

Reliability coefficient

A

Rxx; ranges from 0.0 (no reliability) to 1.0 (perfect).

Correlation between two sets of scores x and x.

Minimum acceptable value is 0.8
Never squared; if rxx is 0.85 the true score variability would be 85%

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12
Q

Test-Retest

A

Determines tests consistency over time.
People administered the same test at two different times.
Reliability decreases the longer the time between tests.

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13
Q

Alternate forms

A

Also known as: parallel forms or equivalent forms.

Similar, but not identical versions of a test are administered to the same group at two different times

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14
Q

Z-score

A

Mean of 0 standard deviation of 1.0

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15
Q

T-score

A

Mean of 50 and SD of 10

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16
Q

Stanines

A

Mean of 5 and standard deviation of 2 ranges from 1-9.

17
Q

Conversion of raw scores to percentile ranks

A

Non linear transformation since percentile rank distribution is always rectangular (flat) regardless of the shape of the distribution raw scores.