lecture 5- convergent and discriminant validity Flashcards

1
Q

convergent validity

A
  • If a measure has convergent validity then it correlates with (i.e., varies with, is associated with) other measures of the same construct or with related constructs
  • So, for example, we would want a self-report depression scale to correlate
    highly with other self-report depression scales
  • We would also want it to correlate with ratings of depression obtained by other methods
  • For example, we would want it to correlate highly with clinicians’ ratings
    of depression
  • So, if we gave the scale to a sample of patients and also had clinicians
    interview them, we could look at the relationship between scores from the
    two methods…
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2
Q

convergent validity cont.

A
  • Most psychological tests have decent convergent validity (they wouldn’t
    be used otherwise)
  • For example, most verbal memory scales correlate highly with each other
  • Similarly, most depression scales correlate highly with each other, and with clinician ratings of depression
  • However, high convergent validity is not always found
  • Sometimes construct variance (the thing we want to measure) is swamped by method variance (the way we have measured it)
  • A dramatic example is provided by Cole’s (1987) analysis of patient and child
    ratings of the child’s level of depression…
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3
Q

cole, 1987

A
  • Can be seen that there is good agreement across different scales when the children rated their own level of depression
  • There is also good agreement across the same scales when the mothers rated their childs’ level of depression
  • However, there is very poor agreement between the two different methods of assessment (the correlation is only 0.15)
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4
Q

what is discriminant validity?

A
  • Discriminant validity is the flip side of convergent validity: if a measure has good discriminant validity then it does not correlate with (is not associated with) measures it should be unrelated to, or weakly related to
  • Take the example of a test / exam of (say) geographical knowledge
  • Suppose the test correlates highly with writing speed: then it has poor discriminant validity
  • The test is supposed to be measuring geographical knowledge, not the ability to write fast
  • To be clear: a high correlation with an unrelated measure indicates low
    or poor discriminant validity
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5
Q

discriminant validity cont.2

A
  • As another example, Depression scales correlate very highly (-0.9) with measures of social desirability (Langevin & Stanger, 1979)
  • Social desirability scales are supposed to measure the extent to which people attempt to present themselves to others in an overly positive light
  • Example item: “There have been occasions when I took advantage of someone”
  • Depression scales tend to correlate highly with social desirability (high depression is associated with low social desirability scores – i.e., they are negatively correlated)
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6
Q

discriminant validity cont.3

A
  • Therefore there is a problem with the discriminant validity of these scales
  • But what is the locus of the problem? Is the problem with depression scales, or with social desirability scales?
  • The problem is probably largely with the social desirability scales
  • Social desirability scales are supposed to measure the extent to which people portray themselves to others in an overly positive light
  • But it appears they may also be measuring our ability to portray ourselves to
    ourselves in an overly positive light
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7
Q

discriminant validity contd.4

A
  • In other words the non-depressed wear rose-tinted spectacles – they protect their self-esteem / mood by seeing themselves in an overly positive light
  • In contrast, depressed people do not (depressive realism) and indeed devalue themselves
  • Thus, social desirability scales appear to have poor discriminant validity
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8
Q

Can Self-Report Scales Differentiate Between Anxiety and Depression?

A
  • Anxiety and depression scales generally have good convergent validity (i.e., anxiety scales correlate highly with each other, and with clinician’s ratings; same goes for depression scales)
  • (The earlier example of mother and child ratings is an exception to this rule)
    However, how well do they perform in terms of discriminant validity?

-Not well at all!

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9
Q

Can Self-Report Scales Differentiate Between Anxiety and Depression? cont2

A
  • It is not at all uncommon for an anxiety scale to correlate more highly with a
    depression scale than it does with another anxiety scale (same goes for depression
    scales)
  • Formal way of saying that: between-construct correlations often exceed within-
    construct correlations
  • Informal way: You think you are measuring anxiety but in fact looks like you may be
    measuring depression and vice-versa
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10
Q

Can Self-Report Scales Differentiate Between Anxiety and Depression? cont 3

A

Why should that happen?

  • Note: it is not just self-report scales that have this problem: also happens with
    clinician’s ratings

Is the problem with the scales or with the constructs?
- There certainly is a good deal of genuine overlap between anxiety and depression so
we would expect a correlation between scales
–However, it should still be possible to differentiate them

Clark & Watson (1991,1995 etc) in a series of influential papers introduced tripartite
theory
This theory proposes that anxiety and depression share a common feature: negative
affectivity

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11
Q

what does negative affectivity (NA) refer to?

A

Negative affectivity (NA) refers to unpleasant engagement i.e., feeling “distressed”,
“scared”, “upset”, “irritable”

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12
Q

what do Clark and Watson argue?

A
  • Clark & Watson argue that most anxiety and depression scales predominantly measure negative affectivity, rather than anything specific to anxiety and depression
  • It is argued this is why anxiety and depression scales have poor discriminant validity
  • Tripartite theory proposes that there are specific components to anxiety and
    depression that allow them to be differentiated…
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13
Q

low positive affect

A
  • The proposed specific component for depression is low positive affect : that is the
    absence of feeling such as “enthusiasm”, “interest”, “alertness”
  • Low positive affect is very similar to the psychiatric concept of anhedonia (“loss-of-
    pleasure”)
  • It is suggested that someone who is suffering from anxiety does not necessarily have low positive affect: they can still enjoy some things
  • In contrast, the severely depressed person gets no pleasure (and has little or no
    interest) in anything
  • The proposed specific component for anxiety is physiological hyperarousal
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14
Q

according to tripartite theory

A
  • both anxious and depressed individuals will be high on negative affectivity
  • Depressed people will (in addition to high NA) have low positive affect
  • Anxious individuals will (in addition to high NA) be high on physiological hyperarousal

Note: “anxious arousal” is used as a synonym for physiological hyperarousal

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15
Q

the MASQ

A
  • Tripartite theory suggests that, if self-report depression scales targeted (low) positive affect, and anxiety scales targeted anxious arousal, we would get round the problem of very poor discriminant validity
  • Clark & Watson have come up with a candidate scale: the Mood and Anxiety
    Symptom Questionnaire (MASQ)
  • Has an Anhedonic Depression scale: this should measure the specific component
    of depression

Also has an Anxious Arousal scale: this should measure the specific component of
anxiety

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16
Q

-

A

How should we evaluate whether the MASQ is preferable to existing scales (such as
HADS, Beck, etc)?

Would it be enough just to show that the two subscales had a low correlation? (i.e.,
that they had good discriminant validity)

  • No: two scales that are simply very unreliable will have a low correlation
  • No: the anxiety and depression scales may have poor convergent validity (e.g., the
    MASQ Anxiety scale may show little relationship with other measures of anxiety)

-Data collected here from a large (N =1800+) sample of the general adult population
(Crawford et al, in prep; De Witt, 2011)

17
Q

evaluation of the MASQ

A

The foregoing slide shows (in order of entry):

That the MASQ is at least as reliable as existing scales

  • The MASQ anxiety and depression scales have decent convergent validity
  • The conventional scales demonstrate the usual discriminant validity problem

For example, the HADS Anxiety scale correlates more highly with HADS
Depression than it does with MASQ Anxiety

18
Q

evaluation of the MASQ cont

A
  • In contrast, the MASQ scales have very good discriminant validity
  • Conclusion: The MASQ has better psychometric properties than
    existing scales
  • That is, it appears that the MASQ does target the specific components of anxiety and depression
  • That is, it gets round the poor discriminant validity seen with existing
    scales
19
Q

conclusion

A

➢Psychometric scales are a valuable tool for
assessing and diagnosing psychological constructs

➢We have to be confident that they are both
reliable and valid tools – otherwise why use them?

➢Reliability is the consistency of a measure and can be evaluated using Cronbach’s alpha and test- retest methods

➢Validity is whether a test measures what it’s
supposed to measure and can be established using a range of methods: Face, Content, Ecological, Construct, Convergent and Discriminant

➢Practitioners need a good understanding of the reliability and validity of tests