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

Convenience Sampling Method00:55

Convenience Sampling Method

10.0K
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.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
10.0K
Sampling Plans01:23

Sampling Plans

340
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...
340
Case Studies01:22

Case Studies

12.8K
There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
12.8K
Random Sampling Method01:09

Random Sampling Method

13.0K
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. Among the various sampling methods used by...
13.0K
Surveys02:16

Surveys

16.2K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
16.2K
Systematic Sampling Method01:17

Systematic Sampling Method

11.5K
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...
11.5K

You might also read

Related Articles

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

Sort by
Same author

Brief Report: Shorter Lead Time for New Patient Appointments Improves No-Show Rates in Dermatology Clinics.

Journal of the American Academy of Dermatology·2026
Same author

Tuft dendrite spikes are accompanied by selective input from distinct functional networks.

bioRxiv : the preprint server for biology·2026
Same author

Clinical Outcomes for Emergency Department Presentations of Sepsis Managed on a Clinical Pathway: A Systematic Review and Meta-Analysis.

Healthcare (Basel, Switzerland)·2026
Same author

Distinct sensorimotor encoding in tuft dendrites and somata associated with action, correction, and learning.

bioRxiv : the preprint server for biology·2026
Same author

Acute Suspected Stroke Clinical Pathway Use in Tasmanian Emergency Departments: A Retrospective Study.

Emergency medicine Australasia : EMA·2026
Same author

CiteSource: An R package for data-driven search strategy development and enhanced evidence synthesis reporting.

Research synthesis methods·2026
Same journal

Real-world impact: using digital platforms to capture clinical impact in healthcare professionals research.

Journal of research in nursing : JRN·2026
Same journal

Empowerment experiences of registered nurses and the role of nurse managers in Ghana: a qualitative descriptive study.

Journal of research in nursing : JRN·2026
Same journal

Commentary: Adolescent cancer care in conflict-affected settings.

Journal of research in nursing : JRN·2026
Same journal

Commentary: The silent epidemic-rethinking moral distress as a systems failure in critical care nursing.

Journal of research in nursing : JRN·2026
Same journal

Predictors of emergency department utilisation in children with complex chronic conditions: a retrospective longitudinal cohort study.

Journal of research in nursing : JRN·2026
Same journal

Commentary: The clinical activity of nurses in general practice.

Journal of research in nursing : JRN·2026
See all related articles

Related Experiment Video

Updated: Oct 24, 2025

Sampling Soils in a Heterogeneous Research Plot
07:11

Sampling Soils in a Heterogeneous Research Plot

Published on: January 7, 2019

35.2K

Purposive sampling: complex or simple? Research case examples.

Steve Campbell1, Melanie Greenwood2, Sarah Prior3

  • 1Professor of Clinical Redesign, Nursing, Associate Head Research, School of Nursing, University of Tasmania, College of Health and Medicine, Australia.

Journal of Research in Nursing : JRN
|August 16, 2021
PubMed
Summary
This summary is machine-generated.

Purposive sampling enhances research rigor by aligning samples with study objectives. Case studies demonstrate its adaptable application, improving data trustworthiness and guiding novice researchers in qualitative studies.

Keywords:
interview researchnovice nurse researcherspurposive samplingstudy designtrustworthiness

More Related Videos

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

4.1K
An Unbiased Approach of Sampling TEM Sections in Neuroscience
10:56

An Unbiased Approach of Sampling TEM Sections in Neuroscience

Published on: April 13, 2019

7.4K

Related Experiment Videos

Last Updated: Oct 24, 2025

Sampling Soils in a Heterogeneous Research Plot
07:11

Sampling Soils in a Heterogeneous Research Plot

Published on: January 7, 2019

35.2K
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

4.1K
An Unbiased Approach of Sampling TEM Sections in Neuroscience
10:56

An Unbiased Approach of Sampling TEM Sections in Neuroscience

Published on: April 13, 2019

7.4K

Area of Science:

  • Qualitative Research Methodology
  • Research Rigor and Trustworthiness

Background:

  • Purposive sampling, a method with a complex history, aims to improve study rigor and data trustworthiness.
  • Its effectiveness lies in better matching samples to research aims and objectives.
  • Key aspects of trustworthiness include credibility, transferability, dependability, and confirmability.

Purpose of the Study:

  • To elucidate the nature and intent of purposive sampling.
  • To present three distinct case studies illustrating purposive sampling in diverse research contexts.

Main Methods:

  • Case study approach analyzing purposive sampling integration.
  • Evaluation of sampling strategies in relation to study design and trustworthiness.
  • Alignment of purposive sampling with research methodology, aims, and objectives.

Main Results:

  • Purposive sampling effectively integrates into various research designs.
  • Sampling strategies demonstrably enhance trustworthiness in data collection and analysis.
  • The chosen purposive sampling approach aligns with methodological requirements, addressing all aspects of rigor.

Conclusions:

  • Explicitly detailing purposive sampling approaches enhances methodological rigor, assessed by trustworthiness criteria.
  • Presented case studies offer practical guidance for novice researchers on achieving rigor in qualitative research.
  • The application of purposive sampling strengthens the credibility, transferability, dependability, and confirmability of research findings.