Test construction Flashcards

1
Q

item difficulty equation

A

P = total number of examinees passing an item /
total number of examinees

a p value of 0.50 means that 50% of examinees answered the item correctly

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2
Q

item discrimination equation

A

D = percent of examinees in the upper-scoring group that answered the item correctly
minus percent of examinees in the lower-scoring group that answered the item correctly

D value of +1.0 means that all examinees in the upper-scoring group got the item right, and none of the examinees in the lower-scoring group got it right

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3
Q

item response theory

A

uses the item characteristic curve

ability to discriminate between high and low achievers is indicated by the slope of the curve

probably of guessing correctly is the y-intercept

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4
Q

reliability coefficient

A

consistency of test scores

when a test has a reliability coefficient of 0.89, 89% of the variability in obtained scores is true variability

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5
Q

Spearman-Brown prophecy formula

A

provides an estimate of what the reliability coefficient would have been if it had been based on the full length of the test instead of just half the items

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6
Q

Cronbach’s coefficient alpha

A

for split-half reliability

administering a test to a single group of examinees, and using a formula to determine inter-item consistency

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7
Q

Kuder-Richardson Formula 20

A

coefficient alpha - avg reliability obtained from all possible splits of the test

when test items are scored dichotomously (right or wrong), used to determine internal consistency

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8
Q

kappa statistic

A

used to assess inter-rater reliability

nominal or ordinal scale of measurement

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9
Q

alternate forms reliability

A

the most thorough method for estimating reliability

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10
Q

internal consistency reliability

A

not appropriate for speed tests

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11
Q

standard error of measurement (SEM)

A

used to construct a confidence interval around an obtained score

an index of the amount of error that can be expected in obtained scores due to the unreliability of the test

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12
Q

standard error of estimate (SEE)

A

used to construct a confidence interval around an examinee’s predicted criterion scores

an index of error when predicting criterion scores from predictor scores

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13
Q

content validity

A

to obtain information about an examinee’s familiarity with a particular content or behavior domain

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14
Q

construct validity

A

to determine the extent to which an examinee possesses a particular hypothetical trait

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15
Q

criterion-related validity

A

to estimate or predict an examinee’s standing or performance on an external criterion

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16
Q

convergent and discriminant validity

A

methods for assessing construct validity

17
Q

factor analysis

A

used to identify the minimum number of common factors required to account for the intercorrelations among a set of items

18
Q

a squared factor loading provides a measure of ____

A

shared variability

19
Q

when factors are orthogonal, a test’s communality can be calculated by

A

squaring and adding the test’s factor loadings

20
Q

orthogonal factors are ____

A

uncorrelated

21
Q

oblique factors are _____

A

correlated

22
Q

concurrent and predictive validity

A

associated with criterion-related validity

23
Q

to determine the shared variability between two different tests/variables, you ____

A

square the correlation coefficient

24
Q

sensitivity

A

the percent of people in the validation sample who have the disorder and were accurately identified as having the disorder

25
Q

specificity

A

the percent of people who do not have the disorder, and were accurately identified as not having the disorder