Sampling Methods in Cardiovascular Nursing Research: An Overview.
Cardiovascular nursing research covers a wide array of topics from health services to psychosocial patient experiences. The selection of specific participant samples is an important part of the research design and process. The sampling strategy employed is of utmost importance to ensure that a repre...
| Publicado en: | Canadian Journal of Cardiovascular Nursing Vol. 24; no. 3; pp. 15 - 19 |
|---|---|
| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Canadian Council of Cardiovascular Nurses (CCCN)
Summer2014
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103972072&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103972072 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08436096 G3D jtl: Canadian Journal of Cardiovascular Nursing issn: 08436096 maglogo: N pubinfo: dt: Summer2014 vid: 24 iid: 3 pid: 12082 pub: Canadian Council of Cardiovascular Nurses (CCCN) place: Ottawa, Ontario artinfo: ui: 103972072 2012639537 103972072 ppf: 15 ppct: 4 formats: fmt: @attributes: type: P tig: atl: Sampling Methods in Cardiovascular Nursing Research: An Overview. aug: au: Kandola, Damanpreet Banner, Davina O’Keefe-McCarthy, Sheila Jassal, Debbie affil: Research Assistant, School of Nursing, University of Northern British Columbia, Prince George, British Columbia. sug: subj: Cardiovascular Nursing Research, Nursing Sampling Methods Probability Sample Random Sample Systematic Random Sample Stratified Random Sample Nonprobability Sample Cluster Sample Multi-Stage Cluster Convenience Sample Snowball Sample Purposive Sample ab: Cardiovascular nursing research covers a wide array of topics from health services to psychosocial patient experiences. The selection of specific participant samples is an important part of the research design and process. The sampling strategy employed is of utmost importance to ensure that a representative sample of participants is chosen. There are two main categories of sampling methods: probability and non-probability. Probability sampling is the random selection of elements from the population, where each element of the population has an equal and independent chance of being included in the sample. There are five main types of probability sampling including simple random sampling, systematic sampling, stratified sampling, cluster sampling, and multi-stage sampling. Non-probability sampling methods are those in which elements are chosen through non-random methods for inclusion into the research study and include convenience sampling, purposive sampling, and snowball sampling. Each approach offers distinct advantages and disadvantages and must be considered critically. In this research column, we provide an introduction to these key sampling techniques and draw on examples from the cardiovascular research. Understanding the differences in sampling techniques may aid nurses in effective appraisal of research literature and provide a reference point for nurses who engage in cardiovascular research. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|