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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 Studies01:26

Longitudinal Studies

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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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Observational Studies01:11

Observational Studies

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Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
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Archival Research01:40

Archival Research

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Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
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Introduction to Epidemiology01:26

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Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
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Cross-Sectional Research01:50

Cross-Sectional Research

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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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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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Adapting Open Science and Pre-registration to Longitudinal Research.

Isaac T Petersen1, Keith S Apfelbaum1, Bob McMurray2

  • 1Department of Psychological and Brain Sciences, University of Iowa.

Infant and Child Development
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PubMed
Summary
This summary is machine-generated.

Open science practices enhance transparency and replicability in developmental science. This paper offers guidelines for adapting these methods to longitudinal research, addressing unique challenges.

Keywords:
Open sciencedevelopmentlongitudinalpre-registrationreplicationreproducibility

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Area of Science:

  • Developmental science
  • Open science
  • Research methodology

Background:

  • Open science practices like pre-registration and data sharing boost transparency and replicability.
  • Developmental science adoption of open science lags due to longitudinal research complexities.
  • Unique challenges in longitudinal studies hinder open science implementation.

Purpose of the Study:

  • To provide preliminary guidelines for adapting open science practices to longitudinal research.
  • To facilitate the adoption of open science methods by developmental researchers.
  • To address specific considerations for implementing open science in long-term studies.

Main Methods:

  • Proposing a serial and modular approach to pre-registration.
  • Recommending initial pre-registration of methods and hypotheses for longitudinal studies.
  • Suggesting subsequent pre- or co-registration for specific papers' questions, hypotheses, and analysis plans.

Main Results:

  • Guidelines encourage sharing research materials and relevant data.
  • Reporting sufficient information for replicability is emphasized.
  • Careful consideration of data sharing timing is advised to avoid disincentivizing research.

Conclusions:

  • Adapting open science practices to longitudinal research is feasible with a structured approach.
  • Serial and modular registration can streamline open science implementation.
  • Balancing data sharing with research incentives is crucial for longitudinal studies.