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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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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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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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Surveys02:16

Surveys

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Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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Related Experiment Video

Updated: Mar 19, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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An online population-representative longitudinal cognitive dataset from the Understanding America Study.

Margaret Gatz1,2,3, Jill E Darling1, Stefan Schneider1,2,3

  • 1Dornsife Center for Economic & Social Research, University of Southern California, Los Angeles, CA, USA.

Scientific Data
|March 18, 2026
PubMed
Summary
This summary is machine-generated.

Cognitive epidemiology research is supported by the Cognitive Comprehensive File (CogCF), a dataset of cognitive assessments for over 21,000 adults. This resource links cognitive ability to health and life outcomes.

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Area of Science:

  • Cognitive epidemiology
  • Public health research
  • Longitudinal studies

Background:

  • Cognitive epidemiology investigates cognitive ability's role in health and disease.
  • Longitudinal cognitive assessments are crucial for understanding cognitive aging.
  • Existing datasets often lack comprehensive cognitive data.

Purpose of the Study:

  • To introduce the Cognitive Comprehensive File (CogCF) as a resource for cognitive epidemiology.
  • To enable research on cognitive ability's association with health and life outcomes.
  • To facilitate studies on factors influencing cognitive changes over time.

Main Methods:

  • Development and collection of longitudinal cognitive assessments within the Understanding America Study (UAS).
  • Compilation of data into the publicly available Cognitive Comprehensive File (CogCF).
  • Linking CogCF data with extensive UAS datasets (e.g., Health and Retirement Study).

Main Results:

  • The CogCF provides cognitive test data for over 21,000 adults (aged 18+).
  • The dataset covers multiple cognitive domains including fluid intelligence and processing speed.
  • CogCF is linked to diverse UAS data on health, employment, and wellbeing.

Conclusions:

  • The CogCF is a valuable, publicly accessible resource for cognitive epidemiology.
  • Researchers can use CogCF to explore cognitive ability's links to various life outcomes.
  • This resource supports investigations into the determinants of cognitive aging and change.