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The Brookbush Institute Publishes a NEW Glossary Term: 'Longitudinal Study'

Longitudinal Study - https://brookbushinstitute.com/glossary/longitudinal-study

Longitudinal Study - https://brookbushinstitute.com/glossary/longitudinal-study

The Brookbush Institute continues to enhance education with new articles, new courses, a modern glossary, an AI Tutor, and a client program generator.

“Longitudinal” refers to tracking subjects along the dimension of time.”
— Dr. Brent Brookbush, CEO of Brookbush Institute
NEW YORK, NY, UNITED STATES, October 8, 2025 /EINPresswire.com/ -- - Excerpt from Glossary Term: Longitudinal Study
- Related Glossary Term: Evidence-Based Practice (EBP)
- Related Course: Acute Variables: Human Movement Specialist (HMS) Certification

DEFINITION
Longitudinal Study: A longitudinal study is an observational research design in which data are collected from the same individuals (or groups) repeatedly over a defined period of time. Unlike a cross-sectional study , which captures a single “snapshot,” a longitudinal study follows participants across multiple time points, enabling the analysis of changes, trends, and temporal relationships between variables.

SEMANTIC CLARIFICATION
- “Longitudinal” refers to tracking subjects along the dimension of time.
- “Observational” distinguishes these studies from experimental designs, as researchers observe natural variation rather than applying controlled interventions.
- “Repeated measures” emphasizes that the same participants are assessed at two or more time points.

APPLIED EXAMPLE
- Health Research: Measuring physical activity and cardiovascular health outcomes in the same cohort every 5 years for 20 years.
- Education Research: Tracking student test performance across multiple grade levels to evaluate long-term learning trends.
- Rehabilitation Science: Assessing recovery outcomes in post-stroke patients at 3, 6, and 12 months after discharge.

STRENGTHS AND LIMITATIONS
Strengths
- Allows investigation of temporal sequence, which may be supportive of causation.
- Useful for estimating incidence rates, not just prevalence.
- Enables identification of long-term trends and trajectories.

Limitations
- More resource-intensive and time-consuming than cross-sectional studies.
- Higher risk of attrition bias (participants dropping out).
- still observational, and cannot fully control for confounding variables or be considered strong evidence of causality.

FREQUENTLY ASKED QUESTIONS (FAQs)
- How is a longitudinal study different from a cross-sectional study?

Brent Brookbush
Brookbush Institute
+ +1 2012069665 ext.
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