Ch. 12 (Observational & Survey Methods) Flashcards

0
Q

What are some advantages and disadvantages of using the survey method?

A

Advantages:

  • Practical
  • Cheap
  • Time saving
  • Anonymity

Disadvantages:

  • Interpretation
  • Honesty
  • Loyalty
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1
Q

What is a survey?

A

A survey is a structured set of questions to measure attitudes, beliefs, and behaviours.

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2
Q

What is a pilot study?

A

A pilot study is a “test run” of a study to filter out potential issues.

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3
Q

What are the two types of sampling techniques used in survey methods?

A

1.) Probability sampling; 2.) Non-probability sampling (NPS)

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4
Q

When does a sample become biased?

A

When the sample doesn’t generalize that population, and is not representative of the population.

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5
Q

What is self-selection?

A

Self-selection is an example of a biased sample, and is composed of ONLY those who voluntarily respond to a survey.

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6
Q

What are the types of probability sampling?

A

1.) Random sampling; 2.) Cluster sampling; 3.) Stratified sampling

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7
Q

What are some types of non-probability sampling?

A

1.) Convenience sampling; 2.) Purposive sampling; 3.) Quota sampling; 4.) Snowball sampling

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8
Q

What is the core difference between probability sampling and non-probability sampling?

A

For probability sampling a researcher wants to learn something about a population from a sample. For non-probability sampling, subjects are not randomly selected and they don’t need to be.

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9
Q

What is the main problem with random sampling?

A

The main issue with random sampling is that there may be specific features in the population that you want in your sample.

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10
Q

What is the definition of random sampling, and what is the solution to its problem?

A

Random sampling occurs when every person in the population has an equal chance of ending up in the final sample. The solution to the problem with random sampling is to use “stratified sampling”.

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11
Q

What is stratified sampling?

A

Stratified sampling occurs when the proportions of important sub-groups in the population are exactly represented in your sample.

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12
Q

What is cluster sampling?

A

Cluster sampling is the response to the problem of random sampling, where random sampling is not viewed as a practical method, due to a larger than usual population. The method of cluster sampling is basically randomly selecting a “cluster” of people all having a common feature.

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13
Q

What is convenience sampling?

A

Convenience sampling is the most commonly used type of non-probability sampling, and is used to recruit people from a group of available people who meet the general requirement of the study.

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14
Q

What is purposive sampling?

A

Purposive sampling is a convenience sampling strategy when a specific type of person is recruited for a valid reason.

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15
Q

What is quota sampling?

A

Quota sampling is the strategy of meeting a quota.

16
Q

What is snowball sampling?

A

Snowball sampling is a strategy where other people gather subjects for the head researcher.

17
Q

What are two types of observational research?

A

The two types of observational research are 1.) naturalistic; 2.) participant observation.

18
Q

What is the major purpose of observational research?

A

The major purpose of observational research is to describe people behaviour in natural setting.

19
Q

What is an advantage of naturalistic observation?

A

One advantage is that people (participants) behave naturally, because they are unaware of experimenter.

20
Q

What is one advantage of participant observation?

A

One advantage of participant observation is that the participant is aware of experimenter.

21
Q

What are two issues of observational research?

A

One issue is an absence of control, and because of this you cannot infer cause and effect. Another issue is known as observer bias, which consists of two types; one, observer expectations cloud perceptions of reality; two, biasing, which involves results from decisions about what to observe.

22
Q

What are 5 ways of reducing observer bias?

A

1) Use good operational definitions
2) Use a behaviour checklist
3) Assess inter-observer reliability
4) Videotape the situation
5) Use different sampling procedures (time sampling; event sampling; individual sampling)