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Cover of Notes On… Nursing Research

Notes On… Nursing Research

Dominic Roche, Clare L. Bennett

PublisherJohn Wiley & Sons LtdPublished2025pages163LanguageEnglishISBN-139781394230167ISBN-101394230168FormatPDF
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Nursing Research FundamentalsResearch Ethics and IntegrityEvidence SynthesisFormulating Research QuestionsQualitative Research MethodsQuantitative Research MethodsMixed Methods Research

Questions & Answers from this book

4 questions2 chapters covered7 topics

Questions and answers are connected to the referenced book and its available source material.

Chapter 1: An Introduction to Nursing Research

What are the six phases of Braun and Clarke's reflexive thematic analysis as described in this chapter?

In Braun and Clarke's reflexive thematic analysis, the six phases are familiarisation with the data, generating initial codes, searching for themes, reviewing potential themes, defining and naming themes, and producing the report. Braun and Clarke caution that analysis should not be treated as a linear process; instead, researchers should move back and forth between phases as needed.

Intermediatep. 56-77
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How does the chapter define ethnography and what data collection methods do ethnographers typically use?

Ethnography is defined in the chapter as a qualitative approach that brings meaning to behaviours by studying participants in their own natural environment. It focuses on cultural contexts and uses inductive reasoning to describe and interpret a cultural or social group, resulting in a narrative description. Ethnographers typically collect data through observations and interviews, and they may also use additional artefacts such as documentary analysis, or diaries and journals, over an extended period in the field.

Introductoryp. 53-73
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Explain the four probability sampling methods described in the chapter and give an example of when cluster sampling might be used.

The chapter describes four probability sampling methods: simple random sampling, systematic random sampling, stratified random sampling, and cluster sampling. In simple random sampling, every member of the population has an equal chance of selection via a random method. Systematic random sampling selects participants in a systematic way, such as every twentieth person from a list, with a randomly chosen starting point. Stratified random sampling divides the population into layers with similar characteristics to ensure representation from each group. Cluster sampling is used when the population is large and widely dispersed, making random selection impractical; for example, a study on attitudes toward dietary modifications in people with type 2 diabetes might randomly select primary care practices or clinics as clusters.

Intermediatep. 60-95
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