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Sampling issues in research with nonorganic failure-to-thrive children
1Case Western Reserve University School of Medicine, Cleveland, Ohio.
Insights
Sampling issues in nonorganic failure-to-thrive (NOFT) studies can bias results. Addressing variance in NOFT samples improves research accuracy and generalizability.
Area of Science:
- Pediatrics
- Child Psychology
- Research Methodology
Background:
- Nonorganic failure-to-thrive (NOFT) presents significant methodological challenges in research.
- Variability in NOFT sample characteristics can impact study outcomes and interpretations.
Purpose of the Study:
- To identify methodological problems in sampling NOFT children.
- To propose strategies for addressing these sampling challenges.
- To enhance the accuracy and generalizability of NOFT research.
Main Methods:
- Analysis of common sources of variance in NOFT samples.
- Identification of consequences of intrasample variation.
- Review of strategies for comprehensive sample description.
Main Results:
- Key variance sources include NOFT definition criteria, population selection, attrition, treatment, and risk factors.
- Unrecognized variation leads to sample bias, limited generalizability, and false homogeneity assumptions.
- Detailed sample descriptions are crucial for accurate NOFT definition and generalizability.
Conclusions:
- Addressing sampling characteristics is vital for robust NOFT research.
- Future research should objectively assess NOFT subtypes and individual differences.
- Understanding sampling impacts prognosis and psychological status in NOFT children.
Abstract:
Describes the methodological problems posed by sampling characteristics of nonorganic failure-to-thrive (NOFT) children and strategies to address them. Sources of variance in sample characteristics include the criteria used to define NOFT, populations from which samples are drawn, parent refusal and sample attrition, medical and psychological treatment, and individual differences in environmental or biologic risk factors. Undesirable consequences of unrecognized intrasample variation in NOFT include sample bias, limited generalizability of findings across different settings, and erroneous assumption of sample homogeneity. Comprehensive description of sample selection and characteristics will enhance more accurate definition of NOFT, generalizability of findings, and evaluation of the impact of sampling characteristics. Future studies should focus on objective assessment of subtypes of NOFT and the relationship of individual difference variables to psychological status and prognosis.
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