Homelessness: A Data-Driven Learning Guide (ICPSR 306)
Principal Investigator(s): Inter-university Consortium for Political and Social Research
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 characteristics of the Washington DC, metropolitan area homeless population, and the relationship between homelessness and several measures of health. Research questions that can be explored using this learning guide include what trends exist in homelessness rates, what factors influence the rate of homelessness, demographic characteristics of the homeless population, why people become homeless, how drug and alcohol addiction may relate to homelessness, the impact of homelessness on a person's physical and mental health, and what services are needed to address the needs of the homeless. Frequency distributions, crosstabulation, and comparison of means tests are used for the analyses.
These data are not available from NAHDAP. Users should consult the data owners directly (via Homelessness: A Data-Driven Learning Guide) for details on obtaining these resources.
Scope of Study
Subject Terms: addiction, health status, homelessness, instructional materials, mental health, social sciences
Geographic Coverage: District of Columbia, United States
Data Collection Notes:
Other Data-Driven Learning Guides covering such topics as aging, gender, race, social class, politics, and health are available on ICPSR's Online Learning Center .