Module 1 - Introduction to Research & Evaluation Flashcards

1
Q

Research Paradigm

A

Philosophical model/framework that the research is based on, which guides the aim, research questions, measurements, data collection and analysis methods

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2
Q

Components of a research paradigm

A

Ontology: study of existence, provides world view that guides study
Epistemiology: theoretical study of knowledge, provides focus (relationship between researcher and area of study)
Methodology: framework for conducting the study

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3
Q

3 philosophical paradigms

A

Positivism
Interpretivism
Critical approach

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4
Q

Positivism

A
  • Quantitative
  • Provides explanation by traditional scientific method = observation, prediction, tetsing causal relationships using procedure to prepare for analysis
  • Characterised by determinism/reductionism (caused by predisposing factors), objectivity, and deductive reasoning (start from theory to focus)

Examples: cross sectional, propective cohort, longitudinal, non-random, randomised control, single or double blind

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5
Q

Interpretivism

A
  • Qualitative
  • Description by describing and exploring meanings within a social or practical context
  • Characterised by the idea that reality is obtained through social contructs, meaning is contructed through researcher-participant dialogue, and by inductive reasoning (concept derived by observation)

Example: phenomenology, grounded theory, ethnography

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6
Q

Critical approach

A
  • Qualitative
  • Focus on society and culture to explore and critique power structures and dynamics
  • Goal to empower participant to challenge and change social structures
  • Uses obervation & interviewing

Examples: emancipatory (benefit to disadvantaged), action, feminist

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7
Q

Data triangulation

A

Application of several research methods/researchers to cross check and validate results

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8
Q

Advantages and disadvantages of qualitative

A

Advantages
* Low cost
* account for behavioural complexity and provide context
* Able to clarify responses

Disadvantages
* Researcher bias esp when present
* Subjects may lack credibility & share characteristics
* Not always representative of wider population
* Not always clear what is being looked for
* Take time to disclose

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9
Q

Advantages and disadvantages of quantitative

A

Advantages
* clear outcomes
* quick analysis
* Application to other populations
* High reliability and validity
* Anonymity

Disadvantages
* Researcher bias
* Limited ability to probe
* High cost

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10
Q

Non-experimental design

A

No researcher manipulation
Adv:Used if relationships between variables are unknown (measure of disease prevalence
Dis: shallow, doesnt allow probe or focusing

Types:
* correlational (compare indicators of health across populations)
* cross sectional (surveys to provide snapshot of time - prevalence)
* case report (analyse factors associated with outcome) - retrospective
* case control (relationship of exposure with outcome) - retrospective
* cohort (longitudinal over time) - prospective

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11
Q

Experimental design

A

Researcher manipulation of variable, condition or treatment to isolate and better observe dependent variable
Adv: more control, less confounding factors, builds on causal knowledge
Dis: more prep and lit review requires, requires review of variable influence, costly

Types: randomised control and community trials

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12
Q

Importance of research to nursing

A
  • Use evidence based knowledge to make better clinical decisions
  • Improve delivery of patient care
  • Generated knowledge builds credibility
  • Maximise profits
  • Provide accountability
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13
Q

Emic vs etic aproach

A

In qualitative methods
Emic: insiders POV
Etic: outsiders POV

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