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Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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Cross-Sectional Research01:50

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In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
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Cochran's Q Test01:17

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Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square...
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Bias in Epidemiological Studies01:29

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Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
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Assessment of Child Anthropometry in a Large Epidemiologic Study
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Cross-Language Qualitative Child Health Research: A Systematic Review.

Kate Wallis1,2, Julia Hah3,4, Callie Laubacher5

  • 1Division of Developmental and Behavioral Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.

Pediatrics
|April 16, 2026
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Summary
This summary is machine-generated.

This review highlights the growing need for inclusive qualitative research with families preferring languages other than English (LOEs). Emerging best practices aim to improve child health research quality and generalizability for diverse populations.

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Area of Science:

  • Child Health Research
  • Qualitative Methodologies
  • Sociolinguistics in Healthcare

Background:

  • Increasing number of US children have parents preferring languages other than English (LOEs).
  • Existing English proficiency requirements exclude many LOE families from qualitative research participation.
  • Limited guidance exists to promote the inclusion of LOE populations in qualitative research.

Purpose of the Study:

  • To synthesize published child health cross-language qualitative research.
  • To examine trends in conducting research with language barriers between researchers and participants.
  • To identify and recommend inclusive practices for cross-language qualitative research.

Main Methods:

  • Systematic review of US-based cross-language qualitative studies (January 2010-July 2025).
  • Inclusion of studies involving adult LOE caregivers and child health topics.
  • Data extraction focused on cross-language processes in study design, data collection, and analysis.

Main Results:

  • Fifty-two studies were included, predominantly featuring Spanish-speaking participants.
  • Diverse health issues and populations were covered, with varied methods for data collection from LOE caregivers.
  • Most analyses were conducted in English post-translation; reliance on bilingual staff was common; dissemination back to communities was rarely described.

Conclusions:

  • Cross-language qualitative child health research has seen recent growth.
  • Variability in methods necessitates the development of best practices for handling LOE data.
  • Recommendations are provided to enhance inclusivity, generalizability, and quality in US child health research.