Surveys, Observations, and Sampling Flashcards

1
Q

What are the 4 question formats?

A

Open-ended, forced-choice, likert scale, and semantic differential format.

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2
Q

What are forced-choice questions?

A

Questions in which there respondents give their opinion by picking the best of two or more options.

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3
Q

What is a likert scale?

A

A scale containing multiple response options that are anchored by the terms “strongly agree” to “strongly disagree.”

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4
Q

What is semantic differential format?

A

A self-report response scale whose numbers are anchored with contrasting adjectives (e.g., easy vs. hard).

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5
Q

What is a response set?

A

A shortcut that respondents may use to answer the items in a self-report measure with multiple items, rather than the content of each item.

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6
Q

When are self-reports especially inaccurate?

A

When respondents are asked why they did something.

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7
Q

How is one’s confidence in a story related to its accuracy?

A

There is no correlation between confidence and accuracy.

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8
Q

How can question order influence the validity of the measure?

A

Earlier questions can influence answers to later questions.

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9
Q

What is a potential threat to the construct validity of observational measures?

A

Observer bias.

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10
Q

What is observer bias?

A

When the observer’s expectations influence their interoperation of the subject’s behaviours or the outcome of the study.

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11
Q

What is reactivity?

A

The change in behaviour of an animal or person due to being watched.

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12
Q

What can be done to reduce reactivity?

A

Make unobtrusive observations, let the subject become accustomed, or measure the traces that a behaviour leaves behind.

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13
Q

What is a census?

A

A set of observations that contain all members of the population of interest.

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14
Q

When is a sample biased?

A

When it is unrepresentative of the population.

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15
Q

What causes biased samples?

A

Sampling those who are easy to contact, sampling those who are able to be contacted, and sampling only those who initiate themselves.

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16
Q

How does one obtain a representative sample?

A

Take a random sample in which every member of the population of interest has an equal chance of being selected.

17
Q

What are 5 variants of probability sampling?

A

Simple random sampling, cluster sampling, multistage sampling, stratified random sampling, and systematic sampling.

18
Q

What is simple random sampling?

A

The most basic form of probability sampling, in which the sample is chosen completely at random.

19
Q

What is cluster sampling?

A

When researchers randomly select clusters of participants within the population of interest and then collect data from all the participants in each cluster.

20
Q

What is multistage sampling?

A

A random sample of clusters are taken, then a random sample of people from within those clusters are taken.

21
Q

What is stratified random sampling?

A

The researcher identifies particular demographic categories of interest and then randomly selects individuals within each of the categories.

22
Q

What is oversampling?

A

A variation of stratified random sampling in which one or more groups are intentionally overrepresented.

23
Q

What is systematic sampling?

A

The researcher counts off to achieve a sample. E.g., choosing every nth person in a population, where n is a randomly chosen number.

24
Q

What are two types of non-representative sampling methods?

A

Convenience sampling and purposive sampling.

25
Q

What is convenience sampling?

A

Choosing a sample based on those who are easiest to access.

26
Q

What is purposive sampling?

A

The inclusion of only certain kinds of people in a sample.

27
Q

What is snowball sampling?

A

A variation on purposive sampling in which participants are asked to recommend acquaintances for a study.

28
Q

When does external validity matter and not?

A

It matters in frequency claims, but it amy not be a priority when researchers study association or causal relationships.

29
Q

What is a margin of error?

A

A statistical term that quantifies the degree of sampling error in a study’s results.

30
Q

At one sample size does going bigger become unadvantageous?

A

After 1000 participants, the decrease in margin of error is too small to be worth the effort of finding a larger sample.