Lecture 4: Sampling and Measurement Flashcards

1
Q

What is population?

A

entire group of people of interest

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2
Q

What is a sample?

A

smaller group of people who complete study procedures

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3
Q

What are representative samples?

A

sample should be similar enough to the population to make generalizable conclusions

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4
Q

How can you have more representative samples?

A
  • sampling technique
  • larger samples
  • breadth of recruitment
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5
Q

What are different sampling techniques?

A

probability sampling and non-probability sampling

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6
Q

What is probability sampling?

A

all members of the population have a known probability (chance) of being selected for the sample
- more likely to result in a representative sample

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7
Q

What is non-probability sampling?

A

there is no real effort to ensure that sample accurately represents population
- less likely to result in representative sample on their own

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8
Q

What are the general approaches to measurement?

A
  • self-report measures
  • behavioural measures
  • physiological measures
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9
Q

How do you choose a measure?

A
  • nature of operalization & research question/hypothesis
  • cost
  • quality (reliability, validity, reactivity)
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10
Q

What is reliability?

A

how consistently a measure measures a particular variable

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11
Q

What are the different types of reliability?

A
  • internal consistency
  • test-retest reliability
  • inter-rater reliability
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12
Q

What is internal consistency?

A

how consistent is the measure across items measuring the same concept

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13
Q

What is test-retest reliability?

A

how consistent is the measure across time points

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14
Q

What is inter-rater reliability?

A

how consistent is the measure across different raters

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15
Q

What is validity?

A

how well a measure measures the variable it is intended to measure

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16
Q

What are the different indicators of construct validity?

A
  • face validity
  • content validity
  • predictive validity
  • concurrent validity
  • convergent validity
  • discriminant validity
17
Q

What is face validity?

A

measure appears to measure the construct of interest

18
Q

What is content validity?

A

measure captures necessary aspects of construct, nothing more

19
Q

What is predictive validity?

A

extent to which scores on the measure predict related criteria measured later

20
Q

What is concurrent validity?

A

extent to which scores on the measure are related to another relevant variable measured at the same time

21
Q

What is convergent validity?

A

extent to which scores on the measure are related to other measures of the same/similar constructs

22
Q

What is discriminant validity?

A

demonstration of scores on the measure being unrelated to measures that are not conceptually related to the construct

23
Q

What is reactivity?

A

the degree to which participants’ behaviours/responses change as a result of measurement

24
Q

What are issues of reactivity in self-reports?

A
  • participant may deny being stressed in the interest of appearing “tough” or “strong”
  • participant may also exaggerate their stress reaction if they thought they may have something to gain from it
25
Q

How do you minimize issues of reactivity in self-reports?

A
  • remind participants to be as honest as possible
  • anonymous data collection
26
Q

What are issues of reactivity in behavioural measures?

A
  • participant may be more nervous knowing they’re being observed so might display more stress behaviours than usual
  • participant may hide stress
27
Q

How do you minimize issues of reactivity in behavioural measures?

A
  • give time under observation
  • use naturalistic observation or deception
28
Q

What issues of reactivity in physiological measures?

A
  • physiological reactions may be exaggerated simply by them being measured
29
Q

How do you minimize issues of reactivity in physiological measures?

A

have a longer baseline where participant is connect to get comfortable being attached to machines