detecting test bias Flashcards

1
Q

what is test bias?

A

represents various possible discrepancies across subgroups that constitute spurious sources of variance having no intrinsic connection with the construct

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2
Q

what does the existence of bias do to validity?

A

reduces the validity of the interpretation of test scores across one more more subgroups

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3
Q

what causes test bias?

A

due to one or more items in the test that are ‘favouring’ one group over the other

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4
Q

what are the objectives of test bias?

A
  • evaluate whether it is present
  • try to identify the cause
  • make changes to reduce or eliminate it
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5
Q

what is a composite score?

A

a score derived from a lot of other scores

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6
Q

what is step one of rank order consistency?

A

calculate the means associated with each item separately for each group

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7
Q

what is step two of rank order consistency?

A

calculate the spearman rank correlation coefficient between the item means

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8
Q

what does a positive correlation when doing a rank order mean?

A

a positive correlation between the item means equal to or greater than .90 would suggest no construct bias

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9
Q

what does a smaller correlation (under .90) suggest?

A

further investigation needed, possible construct bias

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10
Q

what does an eigenvalue tell you?

A

tells you the percentage of variance the item accounts for

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11
Q

what does it mean if an item has an eigenvalue of 2?

A

that item has 2% of the variance

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12
Q

what is congruency coefficient?

A

an estimation of the correlation between the two factor loadings

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13
Q

what are the congruency coefficient cut offs?

A

.80 - no evidence
.60 - .79 = weak
.30 - .59 =moderately strong

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14
Q

do you need to examine statistical significance for the congruency coefficient?

A

no

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15
Q

if there is no predictive bias what will we see?

A

the degree to which scores from a test predict criteria should be the same across groups

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16
Q

what does predictive bias represent?

A

the systematic differences in a tests capacity to predict various criteria

17
Q

what suggests the presence of predictive bias?

A

statistically significant differences in intercepts and/or slopes

18
Q

what do overlapping 84% confidence intervals show?

A

no significant difference so no evidence for predictive bias

19
Q

what do no overlapping confidence intervals show?

A

there is a significant difference so there is evidence for intercept bias

20
Q

when comparing whether the confidence intervals overlap what bounds do we look at?

A

upper bound of the smaller estimate and lower bound of the higher estimate