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 relationship between demographic characteristics and educational attainment. Research questions that can be explored using this guide include: whether demographic characteristics such as age, gender, race, nativity, or disability relate to educational attainment, and how they might relate, whether there is a relationship between educational attainment and income, and how social inequality may affect educational attainment. Frequencies, and comparison of means are used for the analyses.
These data are not available from ICPSR. Users should consult the data owners directly (via Educational Attainment: A Data-Driven Learning Guide) for details on obtaining these resources.
Scope of Study
Subject Terms: academic achievement, demographic characteristics, educational opportunities, instructional materials, social inequality, social sciences
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 .