Chp 6 - Test 2 Flashcards

1
Q

What does the term population or universe mean?

A

All the people who possess a particular characteristic

- Or in the case of texts, all the messages that share a characteristic of interest

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2
Q

What does the term target population or public mean?

A

The population or public of interest

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3
Q

What does the term sample mean?

A

A subset of the population chosen by the researcher to study because it would be difficult, if not impossible to contact all members of the population

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4
Q

What is a cross-sectional sample?

A

A sample drawn at one point in time for a cross-sectional study

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5
Q

What is a panel sample?

A

A selected sample that is follows its members over time, returning to study it more than once

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6
Q

What is a cohort-trend sample?

A

Researchers go back to the field to gather data but draw new samples each time

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7
Q

What are the probability sampling methods?

A
  • Random Sampling
  • Simple Random Sampling
  • Systematic or Ordinal Sampling,
  • Stratified Sampling
  • Cluster Sampling
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8
Q

How is the sampling procedure carried out?

A
  • Define the target population carefully/determines who is in or out of the study.
  • He/she selects some individuals to examine
  • Obtain a sampling frame (a “list” of everyone in the target population)
  • Prepare the list.
  • Use the margin of error to determine how many names to draw from the sample
  • Follow the sampling procedures to identify
    which names from the list will be included in the sample.
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9
Q

What are the nonprobability sampling approaches?

A
  • Convenience Sample
  • Volunteer Sample
  • Purposive Sample
  • Quota/dimensional Sample
  • Network/Snowballing Sample
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10
Q

What if you have a small, minority group in a population?

A

Use stratified sampling to help and weights scores to compensate for oversampling -
It results in an “overly large sample” of a minority group

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11
Q

What are the nonprobability sampling approaches?

A
  • Convenience Sample
  • Volunteer Sample
  • Purposive Sample
  • Quota/dimensional Sample
  • Network/snowballing Sample
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12
Q

Why would one use a nonprobability sample when a probability sample is generalizable to (represents) the whole population?

A

The benefits to using nonprobability sampling techniques are that they are less resource intensive and are generally more accessible and convenient to work with.

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13
Q

What is Random sampling? How is it carried out?

A
  • Chance alone determines who is selected, research does not make any decision as to whom is selected.
  • Every person in a population has an equal chance of being included.
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14
Q

What is Simple Random Sampling? How is it carried out?

A
  • Type of Probability Sampling
  • Randomly selecting indviduals froma sampling frame
  • Like pulling names from a hat
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15
Q

What is/How do you use Systematic or Ordinal Sampling?

A
  • Type of Probability Sampling
  1. Choose every nth person from a complete list of the population after a randomly selected starting point
  2. Often used with large populations, because it’s easier to use with long lists
  3. Avoid biases in the structure of the list
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16
Q

What is/how do you use Stratified Sampling?

A
  • Type of Probability Sampling
  1. Categories a population with respect to a characteristic that a researcher considers to be important, creating two groups
  2. Sample randomly from each group.
  3. Results in an “overly large sample” of a minority group.
  4. Weights scores to compensate for oversampling
17
Q

What is/how do you use Cluster Sampling?

A
  • Type of Probability Sampling
  • Often used when lists of individuals can’t be identified.
    1. A sampling frame is made up of lists of clusters.
    2. Clusters are pre-existing natural or administrative groups in the population (*can be geographic locations *other common groupings, like universities)
    3. Researcher first samples clusters, then individuals from the clusters chosen.