Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

12.1K
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...
12.1K
Longitudinal Studies01:26

Longitudinal Studies

198
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...
198
Cross-Sectional Research01:50

Cross-Sectional Research

11.5K
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...
11.5K
Observational Studies01:11

Observational Studies

8.8K
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...
8.8K
Case Studies01:22

Case Studies

11.7K
There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
11.7K
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

329
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...
329

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Exploring the reasons for labour market gender inequality a year into the COVID-19 pandemic: evidence from the UK cohort studies.

Longitudinal and life course studies : international journal·2023
Same author

Does residential mobility affect child development at age five? A comparative study of children born in U.S. and U.K. cities.

Developmental psychology·2022
Same author

Neighborhood and Child Development at Age Five: A UK-US Comparison.

International journal of environmental research and public health·2021
Same author

Ability-grouping and problem behavior trajectories in childhood and adolescence: Results from a U.K. population-based sample.

Child development·2021
Same author

From Child to Adult: A Longitudinal Study of Irish Children and their Families.

Child and adolescent mental health·2020
Same author

Trends in parent- and teacher-rated mental health problems among 10- and 11-year-olds in Great Britain: 1999-2012.

Child and adolescent mental health·2020
Same journal

A life-course approach to the relationship between adverse childhood experiences and mental health in a longitudinal UK birth cohort (ALSPAC).

Longitudinal and life course studies : international journal·2026
Same journal

Collecting saliva samples for DNA genotyping in a large-scale cohort study of young adults in England.

Longitudinal and life course studies : international journal·2026
Same journal

Finding meaning across time and place.

Longitudinal and life course studies : international journal·2026
Same journal

Transitions to old age: a multidimensional poverty approach for Chile.

Longitudinal and life course studies : international journal·2026
Same journal

What siblings share: how family background shapes early childhood socio-emotional difficulties in the United Kingdom.

Longitudinal and life course studies : international journal·2026
Same journal

Katariina Salmela-Aro obituary: a pioneer in longitudinal research.

Longitudinal and life course studies : international journal·2026
See all related articles

Related Experiment Video

Updated: Aug 12, 2025

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

6.4K

Placing context in longitudinal research.

Heather Joshi1

  • 1University College London, UK.

Longitudinal and Life Course Studies : International Journal
|February 1, 2023
PubMed
Summary
This summary is machine-generated.

Contextual factors like time and place significantly enhance life course research. Integrating individual and area-level data offers richer insights into health, child development, and workplace inequalities.

Keywords:
adult healthchild developmentcohort studiesgender pay gapneighbourhood effects

More Related Videos

A Within-Subject Experimental Design using an Object Location Task in Rats
09:28

A Within-Subject Experimental Design using an Object Location Task in Rats

Published on: May 6, 2021

4.6K
Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
09:27

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

Published on: October 13, 2018

10.1K

Related Experiment Videos

Last Updated: Aug 12, 2025

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

6.4K
A Within-Subject Experimental Design using an Object Location Task in Rats
09:28

A Within-Subject Experimental Design using an Object Location Task in Rats

Published on: May 6, 2021

4.6K
Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
09:27

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

Published on: October 13, 2018

10.1K

Area of Science:

  • Life course research
  • Sociology
  • Public Health

Background:

  • Life course research emphasizes the importance of historical and geographical contexts.
  • Understanding individual trajectories requires integrating macro-level factors.
  • John Bynner is a key figure advocating for contextual analysis in longitudinal studies.

Approach:

  • Review of three distinct research examples integrating contextual data.
  • Analysis of adult health and mortality using individual and area-level data (late 20th century Britain).
  • Cross-national study on child outcomes (age five) examining neighborhood and family influences (Britain and US, early 2000s).
  • Examination of workplace segregation and gender pay gap dynamics (Britain, several decades to 2015).

Key Points:

  • Contextual information on time and place enriches the analysis of individual life histories.
  • Combining individual and area-level data provides a more comprehensive understanding of health outcomes.
  • Neighborhood and family contexts significantly predict child development outcomes.
  • Workplace context is crucial for understanding segregation and gender pay gap evolution.

Conclusions:

  • Incorporating contextual evidence into longitudinal survey data offers significant analytical advantages.
  • The UK Millennium Cohort Study exemplifies the value of contextual data in life course research.
  • Future life course research should prioritize the integration of diverse contextual factors for robust findings.