Sampling Flashcards

1
Q

What is the criteria for a study to be mixed methods?

A

Morse & Niehaus, 2009

  • Contain a core study
  • An incomplete, supplementary study which expands the scope of the projects
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2
Q

What are the positives about a mixed methods design?

A

Morse & Niehaus, 2009

  • Completion of a single research project more expeditiously and efficiently than conducting multiple methods designs through a series of related projects.
  • To comprehensively address the research question sometimes a mixed methods design is needed. eg. in a qualitative study in order to measure an aspect of the phenomenon.
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3
Q

Name some issues with mixed-methods designs?

A
  1. Greene, 2006 - Quantitative & Qualitative research belong to different and incompatible paradigms.
  2. Morse & Niehaus, 2009 - problems with mixed-methods designs may lie with different ‘academic turf’ and the devaluation of the qualitative component.
  3. Morse & Niehaus, 2009 - No consensus about hot to evaluate different mixed-methods designs, some researchers suggest evaluating quant and qual using their separate criteria, others argue the study is more than just the sum of its parts.
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4
Q

What are the points of interface for a mixed-methods study?

A

Morse & Niehaus, 2009.

  1. In the analysis of the core component.
  2. In the results narrative of the core component.
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5
Q

When considering Sampling, what should be considered?

A

Mertens, 1998

  1. Who has access to the information.
  2. The characteristics of the people who have experienced the phenomenon - age, disability, etc - any elements which may prevent meaningful participation.
  3. Type of information needed - eg. fact based information a carer/organisation may be able to give you the information. However, if wanting attitudinal information a carer may not be able to share this accurately.
  4. What are they hoping to find - therefore homogeneity or variability of sample.
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6
Q

Explain probability Sampling

A

Random Sampling with a lottery procedure

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7
Q

Explain systematic Sampling

A

Choose every (eg.10th) participant on a population list

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8
Q

Explain Stratified Sampling

A

Added through sub-groups eg. male and female. Disproportionate or proportionate sampling from subgroups.

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9
Q

Explain Cluster Sampling

A

eg. choose a random city block, classroom and sample all within this group.

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10
Q

Explain Purposeful Sampling

A

Choosing particular people for reasons eg. increasing or decreasing variability of the sample.

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11
Q

Explain Snowball Sampling

A

Also known as chain sampling - starts with key informants/experts and they refer to other participants.

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12
Q

What is a Coverage error?

A

Participants should be in a sampling frame but are not there / people are ineligible for the sampling frame.

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13
Q

What is a nonresponse error?

A

When someone refuses to be interviewed or doesn’t complete the questionnaire or cannot be reached.

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14
Q

What is a Sampling error?

A

Each sample drawn from the population is somewhat different from another sample.

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15
Q

Why is it useful to use a larger sample size for a qualitative IPA study?

A

It will reduce the risk of the sample being biased by atypical experiences or viewpoints. Forrester, 2010.

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16
Q

Henry, ___

‘Non probability samples add uncertainty when the sample is used to __________

A

Henry, 1990

‘Non-probability samples add uncertainty when the sample is used to represent the population as a whole’

17
Q

Stake, ___
‘The first criterion should be to maximise what we can ____. Given our purposes, which cases are likely to lead us to ____, _____, perhaps even to modifying _____?’

A

Stake, 1995
‘The first criterion should be to maximise what we can learn. Given our purposes, which cases are likely to lead us to understandings, assertions, perhaps even modifying generalizations?’

18
Q

What 2 things does Stake suggest we need to consider about sampling? Stake, ____.

A
  • Accessibility is important - time and access are limited.

- Consider how contexts may aid or restrict our learnings.

19
Q

Who talks about saturations points?

A

Yow, 1994 ‘ When you have heard the same story for the 20th time and you are not getting any new information, you probably have heard enough.’

20
Q

What partly determines our ability to detect statistically significant results?

A

The amount of variability in the sample
Less variability from larger sample size = greater sensitivity.
More variability from smaller sample size = less sensitivity.