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Related Concept Videos

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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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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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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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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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: Jul 16, 2025

Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
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Study Navigation and Enrollment in a Community Sample: Does Generational Cohort Matter?

Ayodeji A Otufowora1, Catherine W Striley2, Krishna Vaddiparti2

  • 1College of Medicine, University of Florida, Gainesville, FL, USA.

Journal of Intergenerational Relationships
|September 19, 2023
PubMed
Summary
This summary is machine-generated.

Leading-edge Baby Boomers and individuals with higher trust were more likely to enroll in health research studies. This finding impacts recruitment strategies for clinical trials and health research participation.

Keywords:
EnrollmentHealthStreetcommunity-engaged researchgenerational cohortnavigation

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Area of Science:

  • Health Services Research
  • Sociology
  • Gerontology

Background:

  • Understanding generational differences in health research participation is crucial for effective recruitment.
  • The socioecological model (SEM) provides a framework for analyzing multilevel influences on health behaviors.
  • Generational cohorts, such as Baby Boomers and Generation X, exhibit distinct life experiences and attitudes that may affect research engagement.

Purpose of the Study:

  • To examine the influence of generational cohorts on navigating and enrolling in health research.
  • To identify demographic and attitudinal factors associated with health research participation across different generations.

Main Methods:

  • Utilized the socioecological model (SEM) as a conceptual framework.
  • Analyzed data from 7,370 community-dwelling Baby Boomers and Generation X individuals in North Central Florida.
  • Employed statistical analyses to compare enrollment likelihood between generational cohorts and by trust levels, controlling for SEM-level factors.

Main Results:

  • Leading-edge Baby Boomers (born 1946-1955) were 41% more likely to be enrolled in health research compared to Generation X (born 1965-1979).
  • Individuals reporting higher trust were 25% more likely to be enrolled in health research.
  • These associations remained significant after controlling for individual, relationship, and community-level factors within the SEM.

Conclusions:

  • Generational cohort and trust are significant predictors of health research enrollment.
  • Findings highlight the need for tailored recruitment strategies that consider generational characteristics and foster trust.
  • Implications for improving study participation rates and representation in health research populations.