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...
Stratified Sampling Method01:16

Stratified Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures 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 stratified sample, divide the population into groups called strata and then take a...
Systematic Sampling Method01:17

Systematic Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures 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.
Systematic sampling is one of the simplest methods...
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...
Sampling Theorem01:15

Sampling Theorem

In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
Study Design in Statistics01:15

Study Design in Statistics

A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...

You might also read

Related Articles

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

Sort by
Same author

Lost in Translation: Cultural Validity at the Core of Global Mental Health.

Journal of transcultural nursing : official journal of the Transcultural Nursing Society·2026
Same author

Using the Novel Translation Validity Index to Evaluate GenAI Translations of the Patient Health Questionnaire-9 Into Nine Languages.

Journal of nursing measurement·2026
Same author

Model of interprofessional care for the newborn and family during neonatal death and dying: a multistage evaluation mixed methods study.

Journal of interprofessional care·2026
Same author

Factors Associated With Nurses' Intention to Report Medical and Care Errors: A Systematic Review.

Journal of patient safety·2026
Same author

Nurses' Attitudes Toward Patients With Perinatal Substance Use Disorder.

Nursing for women's health·2026
Same author

Cross-Sectional Analysis of Factors Predicting Food Assistance Stigma.

Behavioral sciences (Basel, Switzerland)·2025

Related Experiment Video

Updated: Jul 11, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Theoretical sampling and category development in grounded theory.

Claire B Draucker1, Donna S Martsolf, Ratchneewan Ross

  • 1College of Nursing, Kent State University, Ohio 44242, USA. cdraucke@kent.edu

Qualitative Health Research
|October 12, 2007
PubMed
Summary
This summary is machine-generated.

Grounded theory researchers often struggle with theoretical sampling. This study introduces a practical guide to improve systematic decision-making and enhance the audit trail in qualitative research.

Related Experiment Videos

Last Updated: Jul 11, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Area of Science:

  • Qualitative Research Methods
  • Grounded Theory Methodology

Background:

  • Theoretical sampling is crucial in grounded theory but lacks clear implementation guidance.
  • Existing studies often mention theoretical sampling without detailing its responsive application to emergent findings.

Purpose of the Study:

  • To address the lack of practical guidance on implementing theoretical sampling in grounded theory.
  • To present a systematic approach for decision-making and audit trails in theoretical sampling.

Main Methods:

  • Discussion of challenges encountered in theoretical sampling during an ongoing grounded theory study.
  • Development and description of a theoretical sampling guide for systematic decision-making.
  • Illustration of the guide's application in developing a research category.

Main Results:

  • Identified common but often underspecified uses of theoretical sampling in published qualitative health research.
  • Developed a structured theoretical sampling guide to enhance systematic decision-making.
  • Demonstrated the practical utility of the guide in advancing grounded theory analysis.

Conclusions:

  • A structured theoretical sampling guide can improve the rigor and transparency of grounded theory research.
  • The developed guide facilitates systematic decision-making and strengthens the audit trail.
  • This approach offers practical support for researchers navigating theoretical sampling complexities.