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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

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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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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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Naturalistic Observations

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If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
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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.
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Observational Studies01:11

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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.
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Neuroimaging Field Methods Using Functional Near Infrared Spectroscopy NIRS Neuroimaging to Study Global Child Development: Rural Sub-Saharan Africa
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Understanding Household Dynamics From the Ground Up: A Longitudinal Study From a Rural South African Setting.

Shao-Tzu Yu1, Brian Houle2, Enid Schatz3

  • 1School of Demography, The Australian National University, Canberra, Australia.

Demography
|January 19, 2024
PubMed
Summary
This summary is machine-generated.

Household structures in low- and middle-income countries are complex and multigenerational, challenging the idea of global convergence. Household type stability varied, with female-headed households showing more stability than nuclearized ones.

Keywords:
Finite mixture modelsHIVHousehold structureHousehold transitionSouth Africa

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Area of Science:

  • Sociology
  • Demography
  • Public Health

Background:

  • Household structure is key to understanding family dynamics in low- and middle-income countries (LMICs).
  • Recent data challenge the notion of a global convergence towards Western nuclearized households.
  • Sociopolitical and health challenges significantly impact household structures in LMICs.

Purpose of the Study:

  • To investigate longitudinal patterns and dynamics of household structure in rural South Africa.
  • To analyze household changes during a period of high AIDS-related mortality and socioeconomic shifts.
  • To apply a household-centered theoretical and methodological framework.

Main Methods:

  • Utilized data from the Agincourt Health and Socio-Demographic Surveillance System (2003-2015).
  • Employed latent transition models to identify distinct household types.
  • Examined interdependencies between head characteristics, age composition, and migration status.

Main Results:

  • Identified six distinct household types, with over half being complex and multigenerational.
  • Observed stability in female-headed household types; nuclearized types showed higher dissolution rates.
  • Linked household dissolution to prior mortality, especially the death of a male head.

Conclusions:

  • Household structures in LMICs are diverse and dynamic, not converging to a single model.
  • Female headship is associated with greater household stability.
  • Mortality events, particularly of male heads, significantly influence household dissolution patterns.