Related Experiment Video
Updated: Jul 12, 2025

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
Published on: August 4, 2023
"Are You a Boy or a Girl?"-A Missing Response Analysis
Andreas Heinz1, András Költő2, Ashley B Taylor3
1Department of Health, IU International University of Applied Sciences, Juri-Gagarin Ring 152, 99084 Erfurt, Germany.
Adolescent surveys show gender non-responders skip more questions and report poorer health. This highlights the need for inclusive methods to capture gender identity in youth research.
Area of Science:
- Adolescent Health
- Survey Methodology
- Gender Studies
Background:
- Adolescent health surveys commonly use binary male/female gender questions.
- Non-response to gender questions may stem from fear of de-anonymization or gender nonconformity.
- Understanding reasons for non-response is crucial for accurate data collection.
Purpose of the Study:
- To investigate the frequency and reasons for non-response to gender questions in adolescent surveys.
- To compare health and response patterns between responders, age non-responders, and gender non-responders.
- To inform more nuanced approaches for measuring sex assigned at birth and gender identity.
Main Methods:
- Analysis of data from 54,833 adolescents (aged 11-18) from the 2018 Health Behaviour in School-aged Children (HBSC) study across six countries.
- Categorization of participants into responders, age non-responders, and gender non-responders.
- Comparison of non-response rates to other questions and self-reported health indicators across groups.
Main Results:
- Overall non-response was low: 98.0% responders, 1.6% age non-responders, 0.4% gender non-responders.
- Age non-responders skipped significantly more questions (4.2) than gender non-responders (3.2) and responders (2.1).
- Gender non-responders reported higher psychosomatic complaints, increased substance use, and lower family support compared to responders.
Conclusions:
- Non-response patterns suggest differing motivations for skipping age versus gender questions.
- Health disparities among non-responder groups indicate potential underrepresentation and unique needs of certain youth.
- Future research should adopt inclusive methodologies, incorporating insights from LGBT+ youth, to accurately assess sex and gender identity.
Related Concept Videos
Two-Way ANOVA
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
The Y Chromosome Determines Maleness
Evolution
Around 300 million years ago, the two sex chromosomes diverged from two identical autosomal chromosomes. Over time, the Y chromosome has lost most of its genes, shrinking in size....
Surveys
Socioemotional Experience and Gender Development
Stereotypes, Prejudice, and Discrimination
Criticisms of the Evolutionary Perspective
Evolutionary psychology provides one explanation for these findings, suggesting...

