How many is enough? Justifying sample size in descriptive quantitative research

Providing clear justification for the sample size within descriptive quantitative research demonstrates a robust research approach and optimises resource use.

Authors

Institutions

Publication Details

Journal
Nurse Researcher
Published
2025-03-13
DOI
https://doi.org/10.7748/nr.2025.e1958
Citations
7
Primary Topic
Customer churn and segmentation
Type
article
Field-Weighted Citation Impact
14.51
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How many is enough? Justifying sample size in descriptive quantitative research

Elizabeth Halcomb, Ruth Mursa, Gemma McErlean, Christopher Patterson
7 citations
Nurse Researcher
Customer churn and segmentation
14.51
article

How many is enough? Justifying sample size in descriptive quantitative research

Elizabeth Halcomb, Ruth Mursa, Gemma McErlean, Christopher Patterson
article en
7 citations

Abstract

Providing clear justification for the sample size within descriptive quantitative research demonstrates a robust research approach and optimises resource use.

Nurse ResearcherVol. 33(2)
University of Wollongong (AU)
Openalex Percentile: Top 2%
Customer churn and segmentation
14.51
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

How many is enough? Justifying sample size in descriptive quantitative research — Elizabeth Halcomb, Ruth Mursa, et al. · Nurse Researcher (2025) | TGRS Research Map | TGRS