1-11 Flashcards

1
Q

quantitative item analysis

A

statistical analyses of the responses test takers gave to individual items

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2
Q

statistical analyses of the responses test takers gave to individual items

A

quantitative item analysis

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3
Q

item difficulty

A

the percentage of test takers who respond correctly

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4
Q

the percentage of test takers who respond correctly

A

item difficulty

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5
Q

how do we calculate item difficulty?

A

number of persons who answered correctly divided by number of persons who responded to the question

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6
Q

What do we do when items have a very low or high p value?

A

get rid of the item

low = 0 to .2
high = .9 to 1
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7
Q

When should an item be retained, with respect to its difficulty?

A

p = .5

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8
Q

item discrimination

A

extent to which items differentiate high from low scorers

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9
Q

extent to which items differentiate high from low scorers

A

item discrimination

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10
Q

How do we calculate the item discrimination index?

A

D = U - L

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11
Q

When should we retain an item to increase internal consistency?

A

retain those items that strongly differentiate high-scoring individuals from lower scoring individuals

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12
Q

What is an item characteristic curve (ICC) and what does it tell us about test items?

A

the line that results when we graph the probability of answering an item correctly with the level of ability on the construct being measured

provides a picture of the item’s difficulty and how well it discriminates high performers from low performers.

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13
Q

What is item response theory (IRT) and why has it become more popular for item analysis?

A

provide estimates of the ability of test takers that is independent of the difficulty of the items presented as well as estimates of item difficulty and discrimination that are independent of the ability of the test takers

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14
Q

When would we say a test question demonstrates item bias?

A

when an item is easier for one group than for another

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15
Q

What are the methods used for qualitative item analysis?

A

questionnaires for test takers

expert panels

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16
Q

Validating the Test

A

cross-validation: how well the test generalizes

differential validity: explore whether the test yields significantly different validity coefficients for subgroups

17
Q

Why is the setting of the validation study important? What do we need to consider?

A

????

18
Q

cross-validation

A

administer test another time to confirm the results of the validation study

19
Q

administer test another time to confirm the results of the validation study

A

cross-validation

20
Q

multiple regression

A

several explanatory variables to predict the outcome of a response variable.

21
Q

several explanatory variables to predict the outcome of a response variable.

A

multiple regression