Chapter 10 Flashcard - Intro to Mixed Methods & Planning Mixed Methods Research & MM Research Design

1
Q

What is mixed methods research?

A

Combines quantitative and qualitative forms of research
* Systematic and purposeful integration of quantitative and qualitative approaches

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2
Q

What is an authentic mixed methods design?

A

Overall strength of the study is greater than quantitative or qualitative research on its own

Quantitative and qualitative used in **tandem **(alongside)

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3
Q

Benefits of mixed methods

A
  • Offset vulnerabilities of using just one approach whether it be quan. or qual.
  • Collecting data via diverse methods allows more complete picture
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4
Q

When should Mixed methods be used?

A
  • RQ will tell you what direction the research should go
  • Design of research should correspond in a way that best answers the RQ
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5
Q

How does “age related-patterns and experiences of chronic-cancer related pain in younger and older patients?” exemplify a mixed methods approach?

A

Quantitative: Measuring pain intensity, management, and functional ability to generate age-related trajectories of pain in younger & older adults

Qualitative: Understanding patient’s pain as through separate focus groups

  • Both give mixed methods a way of answering the RQ in distinct ways
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6
Q

How do researchers characteristics play a role in determining specific research design?

A

Philosophical worldviews, education, training can influence research design choice.

Philosophical worldviews dictates type of RQ that are even asked

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7
Q

How does a postpositivist view dictate the type of RQ

A

Postpositivist looks at one objective truth which means the RQ leans more towards a quantitative design

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8
Q

How does a constructivist view dictate the type of RQ?

A

Constructivist looks at subjective view (understanding multiple meanings and experiences) which is more towards qualitative

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9
Q

How does a pragmatist view dictate the type of RQ?

A

Aligns with mixed methods because it does what is best for the RQ, so incorporates any design appropriate to address the RQ

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10
Q

What is important when making a research team for mixed methods?

A
  • Understanding that researchers will have certain set skills so some researchers are good with generating quantitative data while other researchers are good with generating qualitative data
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11
Q

In mixed methods research there are many decisions to make for planning the approach including:

A
  1. Implementation sequence
  2. Priority
  3. Sequence
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12
Q

What happens in the implementation sequence?

A

Decides whether the 2 methods (qual. & quan.) will be conducted simultaneously (Concurrent) or if they will done one after the other (subsequentially)

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13
Q

Implementation sequence of mixed methods means looking at timing. What is meant by timing?

A

Timing relates to when data is analyzed than when it’s collected

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14
Q

What is key to the sequential research design?

A

Data collected during first phase informs data collection in 2nd phase

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15
Q

What is priority in mixed methods?

A

Consider which (QN/QL) will have a greater priority
* Weight or emphasis QN/QL components

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16
Q

Example of priority in mixed methods in the text?

A

Determining impact of a school-based, youth-led CV health intervention
Quantitative component: 2 questionnaires
Qual. component: 3 focus groups and journaling

Directly stated that QL was given more emphasis

Indicators reveal what is given more priority - # of participants, time spent in field, etc.

17
Q

What are some indicators for whether a mixed methods research is more QL or QN based?

A
  • Title of research
  • Explicit identification of guiding philosophical worldview
  • Purpose statement; indicates the primary aim (which is more emphasized)
  • More space devoted to one method
  • More sophisticated and complex procedures used for one than the other
18
Q

Why would amount of resources relate to whether QL or QN is given more priority?

A

Limited amount of resources may result in having to prioritize one method over the other

19
Q

What is integration?

A

Third procedural consideration of how QN/QL methods will be mixed
* Mixing means explicit relating of the two data sets

20
Q

What would multiple methods mean?

A

There is no explicit mixing of the two sets of data; integration of QN & QL is not properly done

21
Q

When and how would you integrate QN and QL components into mixed methods?

A

Based on the RQ and initial research plan
* Researchers need to plan mixed methods with a clear idea of how different components will inform one another and how QN & QL components provide distinct answers to the RQ

22
Q

Why should integration never be an afterthought?

A

Because must think about how you want to integrate it before you start the research study

  • Similar to armchair walkthrough where you reflect on all aspects of a research study before implementing it
23
Q

During what phase of the research does integration occur

A

During the analysis phase and this can be done via:
1. Side-by-Side comparison
2. Independent analysis
3. Data transformation

24
Q

What is side-by-side comparison?

A

Apart of how data can be integrated
* QN/QL data analyzed separately, and one set of findings presented, followed by the other

E.g. First present QL findings and then compare them with QN stats results

25
Q

What is independent analysis?

A

QN/QL data can be analyzed independently
* Researchers need findings from one phase to inform the next phase of the research

26
Q

Example used in text of how independent analysis was used

A

12 University football players had interviews conducted where they were asked about types and perceived consequences of exercise as punishment

  • Qualitative data was first analyzed and this led to questionnaires being made (to be used in subsequent QN phase) that related to why exercise punishments were made
27
Q

What is data transformation?

A

Converting one form of data into the other form of data

Qualitize numerical data
Quantitize qualitative data

Qualitizing provides depth to statistics
Quantitizing allows for systemic analysis and comparison

28
Q

How would one qualitize quantitative data?

A

Qualitative codes or themes are often changed into quantitative variables, counted then included as numerical data

29
Q

In a Mixed methods research design concurrent designs establishes triangulation. How so?

A

More than one method of data generation (interviews, observations, survey data, etc.) can be employed to see if results converge & overall enhance rigour

30
Q

What is concurrent nested designs?

A

One of the methods (QN or QL) dominates while the other is nested

31
Q

Benefits of Mixed Methods research?

A
  • Neutralizing weakness and maximizing strengths of quantitative and qualitative designs
  • Triangulation
  • Comprehensiveness
  • Instrument development and testing
32
Q

Challenges of Mixed Methods Research

A
  • Blending Philosophical worldviews
  • Bringing together diverse researchers
  • Timelines and resources
  • Sampling and analysis decisions
  • Publication & evaluation
33
Q

What sample size is used for mixed methods?

A

Sometimes data collected from same number of participants but three things can happen:

  1. Larger quantitative size gets reduced
  2. Smaller qualitative size increases
  3. Large sample size in quantitative and small sample size in qualitative (Only including subset of participants from each)