Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Sampling Plans01:23

Sampling Plans

Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Group Design02:01

Group Design

The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between the two are due to...
Sample Size Calculation01:19

Sample Size Calculation

Knowledge of the sample size is the first requirement to conduct random sampling or an experiment. The sample size is the total number of units, observations, or groups (in some cases) used to get the data to estimate a population parameter. As the name suggests, the sample size is that of the sample drawn from the population and differs from the population size.
The sample size for the given experiment or sampling effort is fundamental to any study design. Sample size decides the number of...
Cluster Sampling Method01:20

Cluster Sampling Method

Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
Sampling Methods: Overview01:06

Sampling Methods: Overview

A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of sampling...
One-Way ANOVA: Unequal Sample Sizes01:15

One-Way ANOVA: Unequal Sample Sizes

One-way ANOVA can be performed on three or more samples of unequal sizes. However, calculations get complicated when sample sizes are not always the same. So, while performing ANOVA with unequal samples size, the following equation is used:

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

<i>In vitro</i> recapitulation of intramuscular mRNA vaccination with naive and recall antigens using a human lymphoid follicle chip platform.

iScience·2026
Same author

Surveillance of Migratory Shorebirds and Seabirds in 2024 in Australia Reveals Incursions of a Diversity of Low Pathogenicity Avian Influenza Viruses, but Not High Pathogenicity Avian Influenza H5N1.

Influenza and other respiratory viruses·2026
Same author

Migratory Bird and Marine Mammal Surveillance Fails to Find Evidence for an HPAI H5N1 2.3.4.4b Incursion Into Australia in 2025.

Influenza and other respiratory viruses·2026
Same author

The impact of delivery models on psychomotor performance of manual procedures: a pilot study.

The Journal of manual & manipulative therapy·2026
Same author

Novel approach to sacroiliac joint pain: Preliminary cadaveric and in-silico analysis of safety and feasibility of X-ray-guided high-intensity focused ultrasound ablation.

Interventional pain medicine·2026
Same author

How well do you know the patient standing before you?

Prosthetics and orthotics international·2026

Related Experiment Video

Updated: Jul 13, 2026

Problem-Solving Before Instruction (PS-I): A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction (PS-I): A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

Sample size considerations when groups are the appropriate unit of analysis.

Georgia Robins Sadler1, Celine Marie Ko, Jennifer Alisangco

  • 1School of Medicine, University of California, San Diego, La Jolla, CA 92093-0623, USA. gsadler@ucsd.edu

Applied Nursing Research : ANR
|August 19, 2007
PubMed
Summary
This summary is machine-generated.

Nurse researchers should carefully consider using group randomization, understanding its complexities and statistical needs. Consulting statisticians is crucial for accurate sample size determination in such study designs.

More Related Videos

A Within-Subject Experimental Design using an Object Location Task in Rats
09:28

A Within-Subject Experimental Design using an Object Location Task in Rats

Published on: May 6, 2021

Related Experiment Videos

Last Updated: Jul 13, 2026

Problem-Solving Before Instruction (PS-I): A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction (PS-I): A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

A Within-Subject Experimental Design using an Object Location Task in Rats
09:28

A Within-Subject Experimental Design using an Object Location Task in Rats

Published on: May 6, 2021

Area of Science:

  • Nursing Research
  • Biostatistics
  • Health Program Evaluation

Background:

  • Group randomization is a complex study design.
  • Determining effective sample size in group randomization presents challenges.

Purpose of the Study:

  • To outline considerations for nurse researchers using group randomization.
  • To present advantages, disadvantages, and statistical methods for sample size calculation.

Main Methods:

  • Discussion of issues in group randomization.
  • Presentation of statistical calculations for effective sample size.
  • Illustrative examples using data from a health program.

Main Results:

  • Group randomization offers specific benefits and drawbacks.
  • Accurate sample size calculation requires advanced statistical methods.
  • Hypothetical scenarios demonstrate impact on sample size.

Conclusions:

  • Researchers must carefully weigh the implications of group randomization.
  • Collaboration with statisticians is essential for successful study design and implementation.