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Related Concept Videos

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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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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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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Introduction To Survival Analysis01:18

Introduction To Survival Analysis

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Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
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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.
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Updated: Aug 27, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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Qualitative longitudinal research in health research: a method study.

Åsa Audulv1, Elisabeth O C Hall2,3, Åsa Kneck4

  • 1Department of Nursing, Umeå University, Umeå, Sweden. asa.audulv@umu.se.

BMC Medical Research Methodology
|October 1, 2022
PubMed
Summary

Qualitative longitudinal research (QLR) is increasingly used in health studies. This review found significant variation in how QLR studies capture time and change, highlighting the need for careful planning in longitudinal data collection.

Keywords:
Method developmentQualitative longitudinal researchRepeated data collection

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Area of Science:

  • Health Research Methodology
  • Qualitative Research Methods

Background:

  • Qualitative longitudinal research (QLR) involves repeated data collection to study temporality and change.
  • QLR is gaining traction in health research due to the dynamic nature of many health topics.
  • Method studies are crucial for understanding trends and variations in QLR.

Purpose of the Study:

  • To map the design of QLR articles in health research literature.
  • To understand how these studies capture temporal aspects and change.
  • To identify variations in QLR study designs.

Main Methods:

  • An adapted scoping review design was employed.
  • English-language articles published between 2017-2019 were included.
  • Two reviewers screened and selected articles from EBSCOhost based on repeated qualitative data collection from the same sample/setting.

Main Results:

  • 299 articles were analyzed, showing wide variation in methodological traditions, data types, and data collection duration.
  • Most studies were large-scale and utilized individual interview data.
  • About half self-identified as QLR, but less than 20% cited QLR methodology literature.

Conclusions:

  • QLR is frequently applied in large, complex health research projects.
  • Study designs varied in their thoroughness for capturing time/change.
  • Researchers must consider multiple components of longitudinal data collection (e.g., entities followed, tempo, flexibility) before initiating QLR projects.