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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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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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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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Bernadette Capili1

  • 1Bernadette Capili is director of the Heilbrunn Family Center for Research Nursing at Rockefeller University, New York City. This manuscript was supported in part by grant No. UL1TR001866 from the National Institutes of Health's National Center for Advancing Translational Sciences Clinical and Translational Science Awards Program. Contact author: bcapili@rockefeller.edu . The author has disclosed no potential conflicts of interest, financial or otherwise. A podcast with the author is available at www.ajnonline.com .

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This series equips nurses with essential clinical research skills for evidence-based practice. Learn research design, data interpretation, and more through articles and podcasts.

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Area of Science:

  • Nursing
  • Clinical Research

Background:

  • Nurses play a crucial role in clinical research.
  • A knowledge gap exists in research participation skills among nurses.

Purpose of the Study:

  • To provide a step-by-step guide for nurses to participate in clinical research.
  • To enhance nurses' understanding of evidence-based practice.

Main Methods:

  • A series of articles covering key research concepts.
  • Accompanying podcasts for deeper insight and context.

Main Results:

  • Nurses will gain practical knowledge and skills in research.
  • Improved understanding of research design and data interpretation.

Conclusions:

  • This series empowers nurses to actively engage in clinical research.
  • Facilitates the integration of evidence-based practice in nursing.