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Psychometrics > Chapter 6 > Flashcards

Chapter 6 Flashcards

1
Q

What is validity in psychological measurement?

A

The meaningfulness of a test score. What the test score actually means.

How well a test captures what it purports to capture

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2
Q

Inference

A

A logical result or deduction

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3
Q

Is there such thing as a universally valid test?

A

No. There are boundaries

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4
Q

Local validation studies

A

Test users make their own validation studies for their purpose (eg. altering the test, different population, etc.)

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5
Q

Trinitarian view of validity

A

Content, Criterion-related, and Construct Validity

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6
Q

Ecological Validity

A

How generalizable things are to real world

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7
Q

Face validity

A

What a test appears to measure to the person being tested

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8
Q

Content Validity

A

How well a test samples behavior representative of the universe of behavior that it’s designed to sample

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9
Q

How to ensure content validity in educational assessments?

A

Make sure test approximates proportion of material covered in the course

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10
Q

Test blueprint

A

A plan for what information should be covered by items, how much of each area, organization on test, etc.

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11
Q

How might (content) validity be relative?

A

Different cultures/religions/political parties have different historical interpretations. This means a test can be valid in one but not another region

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12
Q

Criterion-Related Validity

A

How well a test score infers most probable standing on some measure of interest

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13
Q

Concurrent validity

A

How much test score is related to some measure at the same time (concurrently)

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14
Q

Predictive validity

A

How well a test score predicts some criterion measure

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15
Q

Criterion (definition in testing evaluation)

A

The standard to which a test or score is being evaluated

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16
Q

An adequate criterion must be:

A

1) also Valid

2) Uncontaminated (a criterion measure cannot be based on its predictor)

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17
Q

How do you statistically find criterion contamination or correct it?

A

Can’t

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18
Q

Base rate vs. hit rate vs. miss rate

A

base rate: proportion that actually has something

hit rate: proportion accurately identified by a test to have something

miss rate: proportion that a test fails to identify to have something

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19
Q

2 statistics used for criterion-related validity

A

1) validity coefficient:
- relationship between test scores and scores on the criterion measure (eg. Pearson, Spearman)

2) expectancy data:

20
Q

What happens to validity coefficient when attrition of subjects happens over time?

A

Lower validity? (adverse effect)

21
Q

Incremental validity

A

How much an additional predictor explains something about criterion measure that isn’t already explained by the existing predictors

22
Q

Time spent studying (1) and time in library (2) likely has high or low incremental validity?

A

Low. Because they’re probably highly correlated

23
Q

Incremental validity of emotional intelligence

A

Has been doubted because of how they correlate strongly with intelligence and personality

24
Q

Construct Validity

A

how appropriate inferences drawn from a test are

25
Q

Construct (definition)

A

scientific idea that describes/explains behavior. unobservable/underlying

26
Q

Homogeneity of a test

A

Whether a test measures a specific concept

27
Q

If a concept meaning says the score is supposed to improve with age (eg. reading ability), measuring scores across ages would be evidence for what type of validity?

A

construct validity

28
Q

Pre-test and post-test of marriage thing after marriage therapy is evidence for which validity?

A

construct validity

29
Q

Method of contrasted groups

A

Show that scores differ between groups (one that should score higher vs. shoudn’t)

30
Q

Convergent evidence

A

eg. new anxiety test correlate with old

31
Q

Divergent evidence

A

evidence that something doesn’t correlate with something that it isn’t supposed to correlate with

32
Q

multitrait-multimethod matrix

what is it used for?

A

A matrix/table resulted from correlating traits within/between methods

used for convergent/divergent validity evidence

33
Q

Method variance

A

Similarity in scores due to the same method

34
Q

Factor analysis

A

Procedure to identify factors of attributes/characters/dimensions

35
Q

Factor loading

high or low for convergent/discriminant validity?

A

Determines extent to which a factor determines the test score.

high = convergent

36
Q

Intercept bias vs. Slope bias

A

intercept bias: consistent under/overprediction of a score of specific group

slope bias: a predictor has a weaker correlation with an outcome of specific groups

37
Q

Rating error

A

Misuse of a rating scale (eg. leniency error = grading too easy)

38
Q

Severity error

A

too harsh (opposite of leniency error)

39
Q

Central tendency error

A

Rater tends to grade average rather than positive/negative

40
Q

What might be a way to overcome rating errors?

A

Use ranking rather than scores. Forces a rank between individuals

41
Q

Fairness in psychometric context

A

How equitable, just, impartial a test is

42
Q

Does no members of a specific group being part of test make it unvalid for a test user in the group?

A

Not in itself.

43
Q

According to Borsboom article, what is validity? (when is a test valid?)

A

When the attribute exists and if variations in the attribute causes variations in outcomes

44
Q

Ontology vs. Epistemology (Borsboom)

A

Ontology: Existence of attributes

Epistemology: Process of knowing or finding out about the attributes

45
Q

Importance of causality in validity (Borsboom)

A

Validity is tied to causal relationships (changes in attribute –> changes in test score).

Currently, correlational views of validity are misconceptions. Tests aren’t valid because of correlations.

46
Q

What does Borsboom propose in test construction research?

A

To focus on causal processes between attributes and test outcomes rather than optimizing predictive properties (multicollinearity issues)

47
Q

How does correlational approaches not provide good evidence for validity?

A

They can lead to stupid conclusions, like thunder and lightning perfectly correlating, but you can’t say they’re the same thing.

Psychometrics (13 decks)

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