Aging and Social Integration: A Data-Driven Learning Guide

Principal Investigator(s): Inter-university Consortium for Political and Social Research

Summary: Data-Driven Learning Guides are a collection of instructional exercises that can be used to enhance teaching of core concepts in the social sciences. This learning guide investigates the ways in which age, social integration, and well-being are related. Research questions that can be explored using this learning guide include whether older adults are more or less likely to be socially integrated than others, which age groups are most likely to live alone, volunteer, or participate in community o... (more info)

• These data are not available from ICPSR. Users should consult the data owners directly (via Aging and Social Integration) for details on obtaining the data and documentation.

Summary:   Data-Driven Learning Guides are a collection of instructional exercises that can be used to enhance teaching of core concepts in the social sciences. This learning guide investigates the ways in which age, social integration, and well-being are related. Research questions that can be explored using this learning guide include whether older adults are more or less likely to be socially integrated than others, which age groups are most likely to live alone, volunteer, or participate in community organizations, and whether older adults who do participate in the community experience less loneliness than those who do not participate.

Subject Terms:   age groups, aging, community participation, instructional materials, older adults, social integration, social sciences

Geographic Coverage:   United States

Data Collection Notes:

Other Data-Driven Learning Guides covering such topics as aging, gender, race, social class, and health are available on ICPSR's Online Learning Center Web site.