Introduction Flashcards

1
Q

What are the five ‘A’s’ strategy to ensure the use of research evidence in practice?

A

Ask - a clinical question
Acquire - information that may answer the question
Appraise - the evidence for its quality and applicability
Apply - the evidence in the care of the patient
Assess - whether the application resulted in the expected outcomes

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2
Q

What are the beliefs underpinning qualitative, quantitative and mixed-methods research?

A

Qualitative - constructivism/interpretivism
Quantitative - positivism
Mixed-methods - pragmatism

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3
Q

List some advantages and disadvantages of qualitative research

A

Advantages:
- flexibility in thinking
- flexibility in the research process
- rich description
- compensation
- validity
Disadvantages:
- observer bias
- lack of consensus
- lack of focus
- lack of generalisability
- poor replication
- cost

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4
Q

List some advantages and disadvantages of quantitative research

A

Advantages:
- measurement
- rigour
- internal validity
- generalisability
- replicability
Disadvantages:
- the social world is different from the natural world and cannot be studied objectively in the same way
- measures used by positivist researchers are artificial
- measure responses at a single point in time
- positivist methods are less effective at determining why people act as they do

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5
Q

List some values of ethical conduct in research

A
  • respect for human beings
  • research merit and integrity
  • justice
  • beneficence
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6
Q

How is the principle of justice considered in the ethics of a research endeavour?

A

Check that:
- process of recruiting participants is fair
- that there is no unfair burden of participation in research on particular groups
- that there is fair distribution of the benefits of participation on research
- that there is no exploitation of participants in the conduct of the research
- there is fair access to benefits of research

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7
Q

How is the principle of beneficence considered in the ethics of a research endeavour?

A

The researchers are responsible for:
- designing the research to minimise the risks of harm or discomfort to participants
- clarifying for participants the potential benefits and risks of the research
- the welfare of the participants in the research context

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8
Q

List and briefly explain the three different types of basic mixed-methods designs.

A
  1. sequential explanatory - quantitative methods are followed by qualitative methods
  2. sequential exploratory - qualitative methods are followed by quantitative methods
  3. convergent/simultaneous/concurrent triangulation - using both qualitative and quantitative methods simultaneously to capture greater complexity in one study while focusing on different aspects
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9
Q

List some qualitative research designs

A

-in-depth interviews
- focus groups
- narrative research
- ethnography
- grounded theory
- phenomenology

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10
Q

What are the cyclical stages of a research project?

A
  1. identifying research problem
  2. developing research questions
  3. reviewing literature and theoretical framework
  4. selecting research methodology/method
  5. selecting research participants
  6. addressing ethical issues
  7. collecting data
  8. analysing and interpreting data
  9. writing up and disseminating research findings
  10. incorporating findings into evidence-based practice
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11
Q

What is the aim of observational studies, and what are the two most common types?

A

Aim to collect data about health outcomes that naturally occur within the population

  • cross sectional
  • longitudinal
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12
Q

What are cross sectional studies, and what are some advantages of this study design?

A
  • conducted at a single point of time or over a limited time period

Advantages:
- relatively inexpensive and takes up little time to conduct
- can estimate prevalence of outcome of interest because sample is usually taken from the whole population
- many outcomes and risk factors can be assessed at the same time
- useful for public health planning, understanding disease aetiology and for the generation of hypothesis
- there is no loss to follow-up

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13
Q

What are the advantages of cohort studies:

A
  • the temporal dimension, whereby exposure is seen to occur before outcome, gives some indication of causality
  • can be used to study more than outcome
  • well suited for the study of rare exposures
  • can measure the change in exposure and outcome over time
  • incidence of outcome can be measure
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14
Q

What are the types of variables?

A
  • numeric
  • categorical
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15
Q

What are types of numeric variables?

A
  • discrete: whole numbers/units
  • continuous: present some values between units
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16
Q

What are types of categorical variables?

A
  • nominal: no natural order
  • ordinal: rank-ordered and the values for describing the variable are sequentially assigned to represent the logical ordering of the categories
17
Q

Compare interval and ratio scales of measurement

A
  • variables on an interval scale represent values for which the interval between the values has meaning, and the distance between the different values in the scale is standard.
  • variables in a ratio scale have the same characteristics as above, but additionally have a true zero point representing the absence of the variable measured
18
Q

What are the four most common methods for drawing random sampling (i.e. probability sampling)?

A
  • random sampling
  • stratified random sampling
  • disproportionate sampling
  • cluster sampling
19
Q

What are the four most common non-probability sample methods?

A
  • convenience sampling
  • quota sampling
  • purposive sampling
  • snowball sampling
20
Q

What are some of the ground rules around sample size in quantitative research?

A
  • the larger the sample size, the less the sampling error
  • samples of diverse populations need to be larger than samples of homogeneous populations
  • if only a few variables are examined, a smaller sample will be sufficient
21
Q

What are some important skills to develop in interviewing?

A
  • mindfulness
  • cultivating a middle ground
  • empathetic neutrality
  • dynamic systems
22
Q

What are some factors to consider when verifying the trustworthiness of data?

A
  1. credibility
  2. dependability
  3. confirmability
  4. transferability
23
Q

What are some examples of enhancing rigour?

A
  • reflexivity
  • member checking
  • peer review
  • triangulation
24
Q

What are some techniques to help facilitate optimal information-gathering from qualitative interviews?

A
  • use open-ended questions
  • be an active listener
  • monitor your linguistic choices
  • monitor the use of jargon
  • assume that you do not know and act like you really do not
  • pay attended to a participant’s silence
  • avoid ‘testing’ the interviewee
  • avoid leading questions
  • avoid dichotomies
  • ask ‘why’ but frame it right
  • engage by using non-questioning responses
25
Q

List the three different qualitative data analysis methods, and describe them briefly.

A
  1. Content analysis - applied to the content to identify concepts and categories, taking into consideration their frequency
  2. Thematic analysis - 6 steps: becoming familiar with the data, generating codes, generating themes, reviewing themes, defining and naming themes and locating exemplars
  3. Framework analysis - classifying and organising data according to key themes and concepts
26
Q

How to ensure rigour in qualitative data?

A
  • truth value
  • consistency
  • applicability
  • confirmability
27
Q

What are the three main aspects of distribution that are of interest

A
  • location of variability
  • spread of variability
  • shape of variability