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Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

11.7K
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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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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Data Collection by Observations01:08

Data Collection by Observations

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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
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Related Experiment Video

Updated: Apr 30, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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Web-based tracking methods in longitudinal studies.

Izaak L Williams1, Clifford R O'Donnell2

  • 1University of Hawai'i, 651 Ilalo St, John A. Burns School of Medicine, Department of Cell and Molecular Biology, BSB Building, Honolulu, HI 96813, USA.

Evaluation and Program Planning
|April 29, 2014
PubMed
Summary
This summary is machine-generated.

Utilizing online resources effectively improves participant retention in longitudinal studies, particularly for hard-to-locate individuals. Employing multiple digital tools enhances follow-up success rates and aids program planning.

Keywords:
Follow-upLongitudinalOnline resourcesProgram planningTracking

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Area of Science:

  • Social Sciences
  • Public Health
  • Information Science

Background:

  • Participant attrition is a significant challenge in longitudinal studies, impacting data validity and research outcomes.
  • Identifying and re-engaging participants, especially those at higher risk or with changed contact information, is difficult.
  • Traditional methods for participant tracking are often insufficient for maintaining long-term engagement.

Purpose of the Study:

  • To evaluate the effectiveness of online resources in reducing participant attrition in longitudinal studies.
  • To identify specific online tools and strategies that improve participant re-engagement.
  • To understand the factors influencing successful participant follow-up in long-term research.

Main Methods:

  • Systematic review of longitudinal studies employing online resources for participant tracking.
  • Analysis of various online resources including social networking sites, people-finder engines, public records, and directories.
  • Evaluation of participant characteristics and their correlation with follow-up success.

Main Results:

  • Participant characteristics, rather than study duration or sample size, are key predictors of successful follow-up.
  • The use of multiple online resources significantly increases follow-up rates, especially for hard-to-locate individuals.
  • Online resources offer valuable strengths but also present limitations that must be considered.

Conclusions:

  • Online resources are crucial for mitigating attrition in longitudinal studies and improving participant retention.
  • A multi-pronged approach using diverse online tools is recommended for effective participant tracking.
  • Lessons learned emphasize the importance of strategic online engagement for successful longitudinal research and program evaluation.