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 Experiment Videos

Survey sampling issues in primary care research.

A G Mainous1, J G Hougland

  • 1Department of Family Practice, University of Kentucky College of Medicine, Lexington 40536-0226.

Family Medicine
|September 11, 1991
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Editorial: Pioneers & pathfinders: 10 years of frontiers in medicine.

Frontiers in medicine·2025
Same author

Racial differences in attitudes toward personalized medicine.

Public health genomics·2013
Same author

Association between vitamin D and diabetic neuropathy in a nationally representative sample: results from 2001-2004 NHANES.

Diabetic medicine : a journal of the British Diabetic Association·2011
Same author

Ethnic differences in the relationship of prediabetes with the presence of target-organ disease.

Diabetes & metabolism·2011
Same author

Patient safety systems in the primary health care of diabetes—a story of missed opportunities?

Diabetic medicine : a journal of the British Diabetic Association·2010
Same author

Telomere length and adiposity in a racially diverse sample.

International journal of obesity (2005)·2009
Same journal

A Practical Framework for Teaching Women's Health Procedures.

Family medicine·2026
Same journal

Quantifying the Disrupted Pathway: The Representation Gap for Hispanics/Latinos in Academic Family Medicine Leadership.

Family medicine·2026
Same journal

Comment on "Redefining Value in Family Medicine Obstetrics: A Pathway to Sustainable Rural Maternity Care".

Family medicine·2026
Same journal

The Power of Presence.

Family medicine·2026
Same journal

Advancing Hybrid Interviewing: From Bias Concerns to Assessment Quality.

Family medicine·2026
Same journal

Seeing Beneath the Surface.

Family medicine·2026
See all related articles

Understanding survey research methods is crucial in primary care. Probability sampling designs, like random and stratified sampling, minimize selection bias for reliable study results.

Area of Science:

  • Primary Care Medicine
  • Medical Research Methodology

Background:

  • Survey research is frequently employed in primary care to address clinical questions.
  • Effective survey research necessitates a thorough understanding and management of sampling issues.
  • Probability sampling designs are particularly valuable for survey research questions.

Purpose of the Study:

  • To elucidate the importance of sampling methods in primary care research.
  • To present and discuss probability sampling designs, including random and stratified sampling.
  • To compare probability sampling with nonprobability techniques regarding bias, error, and limitations.

Main Methods:

  • The study reviews fundamental concepts of survey research methodology.
  • It details probability sampling designs, emphasizing known probabilities of selection.

Related Experiment Videos

  • Nonprobability sampling techniques (convenience, purposive, quota) are also discussed.

    • Main Results:

    • Probability sampling ensures each population member has a known selection chance.
    • Properly executed probability sampling with adequate sample size minimizes selection bias.
    • The study provides examples of random and stratified sampling applications.

    Conclusions:

    • Investigators must master sampling techniques for valid primary care research.
    • Probability sampling offers a robust framework for reducing bias in survey research.
    • Understanding the trade-offs between different sampling methods is essential for study design.