Related Experiment Video
Updated: Jul 20, 2025

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
The Importance of Non-Probability Samples in Minority Health Research: Lessons Learned from Studies of Transgender
Jack L Turban1, Anthony N Almazan2,3, Sari L Reisner4,5,6,7
1Division of Child & Adolescent Psychiatry, Stanford University School of Medicine, Stanford, California, USA.
Abstract:
Non-probability sampling methods utilize nonrandom research participant selection, which may generate study samples that are not representative of the general population. Non-probability sample studies are often regarded as inferior due to uncertainty about their generalizability and external validity. In reality, non-probability sampling offers advantages that make this method particularly valuable for minority health research. In this perspective article, we review the strengths and limitations of probability and non-probability samples, examining three landmark survey studies used to study transgender and gender diverse mental health. We conclude that both types of studies provide important and actionable data about mental health inequities experienced by minority populations.
Related Concept Videos
Ethnic Identity within a Larger Culture
Random Sampling Method
Surveys
Group Design
Randomized Experiments
Simple randomization
Simple...
Stratified Sampling Method
To choose a stratified sample, divide the population into groups called strata and then take a...

