Multi-trait multi-method validity analysis Flashcards

1
Q

Validity

A

Does a test actually measure what it claims to measure?

-we need to have reliability to establish validity

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2
Q

Construct

A

are things we assume exist – but they are things which cannot be directly observed or measured
E.g., depression, love, personality, anxiety, intelligence, empathy, etc.

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3
Q

convergent validity

A

When a construct that is measured by a test is similar to other similar constructs

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4
Q

divergent or discriminant validity

A

When a construct that is measured by a test is different from similar constructs

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5
Q

To work out convergent validity

A

We need to take a test that measures something, and correlate scores on this test with scores on test that measures similar things
E.g., if you say that emotional intelligence (EI) is a new form of intelligence you need to demonstrate high correlations between a test of EI and traditional IQ tests

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6
Q

To work out divergent validity

A

We need to take a test that measures something, and correlate scores on this test with scores on tests that measure different things
This is particularly important if you say you have discovered a new construct
E.g., if you say that EI is a new form of intelligence, you have to show that it differs from social cognition and/or emotionality

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7
Q

Why do we say that psychological tests are trait-method units?

A

-because scores on tests are influenced by actual difference between people (true variance) and also method variance.

trait= a factor that the test measures
method= the item format that you use
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8
Q

Why use multiple traits/factors and multiple method/item formats?

A

Can see the correlations between different constructs

Can see the correlations between different types of measures/item formats

You can see the correlations between different constructs measured by the same item formats
And correlations between different constructs measured by different item formats

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9
Q

How do we establish construct validity properly?

A

Campbell & Fiske (1959) proposed that this is done through a Multitrait-Multimethod (MTMM) Matrix
A correlation matrix which shows correlations between tests measuring different traits/factors, measured according to different methods

have 4 hierarchical rules

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10
Q

4 rules of MTMM

A

Rule 1: The values in the validity diagonal should be more than 0, and large enough to encourage further exploration of validity

Rule 2: A value in the validity diagonal should be higher than the values lying in its column and row, in the heterotrait-heteromethod triangles

Rule 3: A value in the validity diagonal should be higher than the values lying in its column and row, in the heterotrait-monomethod triangles

Rule 4: There should be more or less the same pattern of correlations in all the different triangles

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11
Q

The reliability diagonals

A

The reliability diagonals are the values in parentheses (brackets) in the MTMM matrix
Remember that we need to have reliability before you can establish validity – so these values should be pretty good

also called monotrait-monomethod values

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12
Q

The validity diagonal

A

These are the correlations of the same factors, measured by different methods/questionnaires

  • E.g., the correlation of Anxiety in Everyday Situations, measured by the SEAL and the CADS
  • High correlations values here mean good convergent validity
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13
Q

another name for validity diagonal

A
  • also called monotrait-heteromethod values

- Because the traits/factors are the same – but the method/questionnaire used to measure them are different

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14
Q

Interpreting an mtmm matrix: rule 1

A
  • The entries in the validity diagonal should be different from 0
  • And large enough to encourage further examination of validity
  • This is evidence of convergent validity
  • Of course you can’t establish convergent validity if you don’t have convergent validity to begin with
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15
Q

Interpreting an mtmm matrix: rule 2

A

A value in the validity diagonal should be higher than the values lying in its column and row in the heterotrait-heteromethod triangles

The validity values are evidence for convergent validity – the heterotrait-heteromethod values are divergent validity values
So what we are saying here is that convergent validity should be higher than divergent validity

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16
Q

What is a heterotrait-heteromethod triangle?

A
  • This is the group of correlation values which come from the correlations of different traits/factors measured by different methods/questionnaires
  • These values are a collection of divergent validity values
17
Q

Interpreting an Mtmm matrix: rule 3

A

A value in the validity diagonal should be higher than the values lying in its column and row
In the heterotrait-monomethod triangles

The validity values are evidence for convergent validity – the heterotrait-monomethod values are divergent validity values
So like Rule 2, what we are saying here is that convergent validity should be higher than divergent validity

18
Q

What is a heterotrait-monomethod triangle?

A

This is the group of correlation values which come from the correlations of the different traits/factors measured by the same methods/questionnaire
These values are also a collection of divergent validity values

19
Q

Interpreting an mtmm matrix: rule 4

A

There should be the same pattern of correlations in the two different types of triangles

20
Q

Summary of the 4 rules

A

Rule 1: The values in the validity diagonal should be more than 0, and large enough to encourage further exploration of validity

Rule 2: A value in the validity diagonal should be higher than the values lying in its column and row, in the heterotrait-heteromethod triangles

Rule 3: A value in the validity diagonal should be higher than the values lying in its column and row, in the heterotrait-monomethod triangles

Rule 4: There should be more or less the same pattern of correlations in all the different triangles