Week 2: Observation and Measurement Flashcards

1
Q

two criteria for a good variable

A
  • exhaustive: all possible answers/values
  • mutually exclusive: you cannot have two answers
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2
Q

measurement levels: 1. nominal

A

nominal is the lowest level, we can only name categories. values are categories that have arbitrary (non-numerical) values. we could also just assign letters (‘a’, ‘b’)

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3
Q

measurement levels: 2. ordinal

A

values are ordered categories, but steps between categories are not necessarily equal.

1(very bad) - 5(very good)

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4
Q

measurement levels: 3. interval

A

values are ordered and steps between values are equal but there is not an absolute zero (e.g., degree c)

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5
Q

measurement levels: 4. ratio

A

values are ordered and steps between values are equal and there is an absolute 0 point; we can say one thing is twice as much as the other

reaction time

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6
Q

measurement levels: 5. absolute

A

unit is fixed, only one possible unit

percentage

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7
Q

discrete variable

A

can only take on an integer value

intelligibility: 1, 2, 3, 4…

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8
Q

continuous variable

A

can take on infinite number

reaction time: 29, 29.95, 29.99995…

typically metric/scale/quantitative variables are continuous

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9
Q

pros and cons of questionnaire

A

+ cheaper
+ anonymity
+ not usable for children, illiterates

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10
Q

pros can cons of interview

A

+ verify whether question was understood
+ possible to ask follow up question
- more expensive, need to train interviewers

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11
Q

self-report: response bias

A
  • social desirability
  • acquiescence response style / Nay saying
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12
Q

disadvantage archival data

A

no control over data by researcher

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13
Q

simple random sample

A

every study object has same chance of being selected

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14
Q

systematic sample

A

select every 20th student that walks through the hall

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15
Q

stratified random sample

A

take random subset of each stratum (males vs. females)

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16
Q

multistage/cluster sample

A

randomly select cluster (e.g., school, class) -> then individual children

17
Q

probability samples

A

probability sample:
simple, systematic, stratified, cluster/multistage…

18
Q

non-probability samples

A
  • convenience sample: sample until n is reached
  • quota sample: sample until n per subgroup is reached
  • purposive sample: sample based on judgement researcher