Wk2: Constructs Flashcards

(29 cards)

1
Q

Three validities for causation

A
  • Construct
  • Internal
  • External
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Define construct validity

A

Whether the construct is operationalised through the msmt
How much the concept is reflected in the msmt used
Variable true to itself
E.g. Wealth~Hrs worked = low; Wealth~ #assets and annual pay = high

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Define reliability

A

The replicability of the msmt tool used
The accuracy and precision of the msmt tool used
E.g. measuring height using 1m stick (low) or 1m ruler (high)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Types of reliability

A
  • Test-retest
  • Split-half
  • Parity
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Define test-retest reliability

A

Correlation b/w scores at two time points
When a test taken multiple times produce the same results in individuals
Cons: Susceptible to learning
Cons: Works for static, not dynamic constructs

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Define split-half reliability

A

Correlation b/w scores in both halves of experiment
When individuals tests’ are halved and the correlation between the two halves are measured.
Cons: Overtesting, test length

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Define parity reliability

A

Correlation b/w scores in odd and even trials
When individuals tests’ are seperated into odd and even trials and the correlation between the two halves are measured.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Define criterion validity

A

How well the test reflects the criterion it aims to test
Empirical validity
E.g. How well the simulated surgery scores reflect doctors’ actual surgery outcomes. Testing for actual surgery outcomes.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Define content validity

A

How well the test appears to reflect the construct
Opinion validity
E.g. How much of the lecture content is present during the exam. May test knowledge of course through tutorial content only, but not wholly content-valid.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Define convergent validity

A

How well other correlates of the construct correlate with the test
Do the scores of related correlates converge?
E.g. How much Psyc3020 and stats grades correlate with Psyc3042 grades

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Define divergent validity

A

How well other tests of the construct do NOT correlate with the test
Do the scores of non-related concepts diverge in magnitude?
E.g. How much dep scores correlate with anxiety - shouldnt correlate
How much hrs studying reflects alcohol consumption - should not correlate

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Define common method variance

A

It is common for the methods used to show a variance in results when the construct should not.

The variance we see in test results that shouldn’t be present in the construct we try to measure
E.g. self-reported alcohol inebriation (“how drunk do you feel”) vs. # pints drunk vs. BAC vs. metabolism (BAC over time). Each test reflects different systematic variances of the method, not the results.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What are multi-trait, multi-method techniques?

A

Measuring convergent and divergent validity over multiple methods (self-report, observation, behavioural msmts, etc.)
Usually 2 constructs with 2 methods,
E.g. Assertiveness and aggression through self-report and observation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Define internal validity

A

Whether the msmt reflects a causal relationship between constructs
Variable true to its relationship

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Failures of internal validity

A
  • Spurious scoring
  • Scoring and data analysis errors
  • Direction error
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Define spurious scoring

A

Coincidence
E.g. US Industrial manufacturing doctorates awards ~ US pc mozzarella cheese consumption, r=0.9

17
Q

Define scoring and data analysis errors (internal validity)

A

The analysis misconstrues the results; misinterpretation.
E.g. A vaccine decreases fatalities in a disease from 23 in 1000 to 9 in 1000. Is this a 60% decrease or a decrease of 0.014%?

18
Q

Define reverse causation (internal validity)

A

Assume X causes A when A causes X
E.g. Assume married people are happier because they married; actually happier people are the ones who marry.

19
Q

Determining causation through experimentation

A
  • Manipulate IV (true experimental design)
  • Determine preceding variable (A precedes B)
  • Determine mechanism of causation (why A causes B)
20
Q

Define mediation

A

A -> C because A -> B -> C

21
Q

Mediation vs mechanism of causation

A

Mediation is through another independent construct, whereas the mechanism doesn’t
E.g. mediation: guns cause aggression through feeling threatened
E.g. mechanism: studying improves grades because studying is the process of improving understanding and learning, and thus grades.

22
Q

Measuring mediation

A
  • HMR: model 1 (X->Y) to 2 (X->Y, cont.M; M->Y, cont.X)
  • Mediation: X->Y, cont.M weaker than X->Y
23
Q

Full mediation

A
  • Where X->Y cont. M (2,1) is non-significant
  • The path X->Y determined by M
24
Q

Partial mediation

A
  • Where X->Y cont. M (2,1) is significant, but weaker than X->Y (1)
25
Define external validity
Whether the msmt and sample reflects the other populations, settings, and times. AKA Generalisability Variable true to the population
26
Failures of external validity
* Testing on a subpopulation, applying findings to whole population. E.g. testing meds on males, assume safety, causes birth defects * Results not replicable with alternative stimuli
27
Define moderation
A->C proportional to B E.g. greater B = stronger A->C correlation
28
Moderation vs external validity failures
External validity failures are misattributions of findings, moderation is the correctly identified attribution of the change in the findings (∆r≈B)
29
Moderation vs mediation
* Moderation not correlated with X or Y * (∆r≈B) * E.g. Hrs in gym (X) ≈ Gym satisfaction (Y), *moderated* by nutrition (B) * Mediation correlated with X and Y * (X≈B≈Y) * E.g. Hrs in gym (X) ≈ Gym social interaction (B) ≈ Gym satisfaction (Y)