Reliability Flashcards

1
Q

Reliability for CTT

A

For CTT; reliability was most investigated psychometric parameter & several statistical techniques were developed to estimate it

Corresponds to consistency of scores obtained by same individuals when they are re-examined with same test at different times, different sets of equivalent items or under other variable conditions of examination

Also concerns accuracy of measure or internal consistency (item-total correlation) between items of test

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2
Q

Clarifying concepts

A

Reliability= precision= accuracy

Nomenclature regarding stats techniques used for analysis of empirical data

Reliability; Internal consistency, equivalence, constancy & stability

Physical sciences->reliability->instrument calibration

Reliability= test ‘free from errors’

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3
Q

Measures of reliability

A

Correlation between 2 measures

Reliability coefficients= function of true variance (covariance) by total variance

Allows to estimate what proportion of total variance of test scores is error variance

> score= >reliability

measurement error

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4
Q

Error variance

A

Any condition that is irrelevant to objectives of a test represents error variance

Factors reducing error variance= standardisation of test administration, environmental control, instructions, true limits, normative sample

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5
Q

Test-retest reliability

A

Reliability coefficient is correlation between scores obtained by same individual in 2 different administrations of same test

Coefficient of stability or constancy

Ideal correlation is >0.6

Error variance source= interval between test administrations

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6
Q

Parallel (equivalent) forms

A

Reliability coefficient is correlation between scores obtained by same respondents in application or equivalent forms of test

Coefficient of equivalence

Ideal correlation is >0.7
True variance greater than error variance

Error variance source= content sampling

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7
Q

Split half

A

Reliability coefficient is correlation between scores obtained by same individuals in same test divided into 2 equivalent halves

Coefficient of internal consistency

Ideal correlation is >0.6

Error variance source= content sampling

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8
Q

Kuder-Richardson

A

Reliability coefficient is correlation between scores obtained in each item of test

Kuder-Richardson coefficient

Kuder-Richardson 20 formula used when items are dichotomous

Ideal coefficient is between 0.7-0.9

Error variance source= content sampling & content heterogeneity

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9
Q

Cronbach’s alpha

A

Reliability coefficient is correlation between scores obtained in each item of the test
Similar to Kuder-Richardson technique

Cronbach’s alpha formula is modification of Kuder-Richardson equation & reflects magnitude of covariance among items
Varies from 0-1 (1=100% internal consistency)

Ideal correlation is between 0.7-0.9

Error variance source= content sampling & content heterogeneity

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10
Q

Inter-rater reliability

A

Reliability coefficient is correlation between scores assigned by each rater

Error variance source= different raters perceptions

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11
Q

Factors affecting reliability

A

> sample variability, >reliability= >test accuracy

> number of items, >reliability= >test accuracy

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12
Q

Reliability for IRT

A

Reliability not as important as for CTT, though is part of validation process

Reliability can be obtained by estimating item information curve, which corresponds to graphical analysis that shows level of theta to which item brings maximum information

If amount of info small, ability can not be estimated with precision & estimates will be widely scattered about true ability

Item info function depends on item parameters a,b & x

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13
Q

Item information function

A

Can be used to predict scores of examinees at given ability levels

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14
Q

Test information curve

A

A result of the sum of the item info functions for all test items

A TIF value greater than or equal to 10.0 is considered ideal for ensuring good accuracy

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15
Q

Reliability for IRT

A

Reliability not as important as for CTT, though is part of validation process

Reliability can be obtained by estimating item information curve, which corresponds to graphical analysis that shows level of theta to which item brings maximum information

If amount of info small, ability can not be estimated with precision & estimates will be widely scattered about true ability

Item info function depends on item parameters a,b & x

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16
Q

Item information function

A

Can be used to predict scores of examinees at given ability levels

17
Q

Test information curve

A

A result of the sum of the item info functions for all test items

A TIF value greater than or equal to 10.0 is considered ideal for ensuring good accuracy