P&B Chapter 21 Flashcards

1
Q

Also called volunteer sampling - used when researchers need potential participants to come forward and identify themselves

A

Convenience Sampling

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2
Q

What type of sampling? In-depth interviews with Latino and Caucasian clients with Type 2 diabetes about their dietary and self-management goal behaviors - sampled from a community/migrant health clinic in rural Washington state.

A

Convenience

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3
Q

Also called chain sampling; ask early informants to refer other study participants; tends to be more cost-efficient and practical; weakness is that it can restrict sample to a small social network of participants

A

Snowball sampling

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4
Q

Selecting cases that will most benefit the study (purposeful sampling)

A

Purposive sampling

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5
Q

What are the two general goals of purposive sampling?

A
  1. sampling to find examples that are representative or typical of a broader group on some dimension of interest
  2. sampling to set up the possibility of comparisons or replications across different types of cases on a dimension of interest
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6
Q

Most widely used method of purposive sampling; purposefully selecting persons (or settings) with a wide range of variation on dimensions of interest; might ensure people with diverse backgrounds are represented in the sample

A

Maximum variation sampling

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7
Q

Deliberately reduces variation and permits more focused inquiry; may use this approach if they wish to understand a particular group of people especially well; often used to select people for group interviews

A

Homogenous sampling

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8
Q

Selecting cases that illustrate or highlight what is typical, average, normal, or representative

A

Typical case sampling

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9
Q

Typical case sampling can be expanded by selecting a _____ ______ _____ of average, above average, and below average cases

A

Stratified purposive sample

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10
Q

Also called outlier sampling; provides opportunities for learning from the most unusual and extreme informants; most often a supplement to other sampling strategies because they can distort the understanding of a phenomenon if used normally

A

Extreme (deviant) case sampling

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11
Q

Similar to extreme case sampling but with less emphasis on the extremes; involves information-rich cases that manifest the phenomenon of interest intensely, but not as extreme or potentially distorting manifestations; selecting rich cases that offer strong examples of the phenomenon

A

Intensity sampling

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12
Q

Selecting cases based on a recommendation of an expert or key informant (most often used in ethnographies)

A

Reputational case sampling

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13
Q

Selecting important cases regarding the phenomenon of interest

A

critical case sampling

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14
Q

selecting cases that meet a predetermined criterion of importance

A

Criterion sampling

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15
Q

Identifying and gaining access to a single case representing a phenomenon that was previously inaccessible to research scrutiny

A

Revelatory case sampling

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16
Q

This approach is used to select or search for politically sensitive cases (or sites) for analysis

A

Sampling of politically important cases

17
Q

Adding new cases to a sample based on changes in research circumstances as data are being collected, or in response to new leads and opportunities that may develop in the field

A

Opportunistic sampling

18
Q

Tends to be used towards the end of data collection; involves testing ideas and assessing the viability of emergent findings and conceptualizations with new data

A

Sampling confirming and disconfirming cases

19
Q

Additional cases that fit researchers’ conceptualizations and offer enhanced credibility, richness, and depth to the analysis and conclusions

A

confirming cases

20
Q

examples that do not fit and serve to challenge researchers’ interpretations

A

disconfirming (negative) cases

21
Q

strategy involving selection of “incidents, slices of life, time periods, or people on the basis of their potential manifestation or representation of important theoretical constructs”; complex sampling technique that requires researchers to be involved with multiple lines and directions as they go back and forth between data and categories in the emerging theory

A

theoretical sampling

22
Q

Sampling to the point at which no new information is obtained and redundancy is achieved

A

data saturation

23
Q

Number of participants needed to reach saturation depends on several factors (name the 4)

A
  1. scope of the research question (the broader the scope, the more participants likely needed)
  2. data quality (the better the participants and the more they share, the smaller the needed sample size)
  3. sensitivity of the phenomenon being studied
  4. skills and experiences of the researcher
24
Q

Name the three models of generalizability

A
  1. Extrapolating from a sample to a population
  2. Analytic or conceptual generalization
  3. Case-to-case translation (transferability)