Improving Household Surveys Through Computer-Assisted Data Collection
Abstract
Data on land use change and socioeconomic dynamics in developing countries are often collected via paper-and-pencil interviewing (PAPI). This article reviews a computer-aided personal interviewing (CAPI) methodology adopted for the fourth wave of a panel survey administered in a remote region of the Brazilian Amazon in 2009. Ruggedized touch-screen laptops were used to address challenges associated with survey administration in this setting as well as limitations associated with the PAPI method. The authors discuss hardware and software considerations, methodological innovations, and tests for mode effects on missing item response rates and enumerator learning effects.
Faculty Members
- Simone Carolina Bauch - Department of Economics and Resource Management, Norwegian University of Life Sciences, Norway
- Charlie Macintyre - Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, USA
- Daniel Harris - Geography and Geosciences Department, Salisbury University, Salisbury, MD, USA
- Dar Roberts - Geography Department, University of California, Santa Barbara, CA, USA
- Katrina Mulllan - Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, USA
- Hoon Cha - Information and Decision Sciences Department, Salisbury University, Salisbury, MD, USA
- Erin Sills - Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, USA
- Jill Caviglia-Harris - Economics and Finance Department, Salisbury University, Salisbury, MD, USA
- Simon Hall - Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, USA
- Michael Toomey - Geography Department, University of California, Santa Barbara, CA, USA
Themes
- Data collection methods
- Land use change
- Technological innovations in research
- Socioeconomic dynamics
- Survey administration challenges
Categories
- Sociology, demography, and population studies nec
- Data science and data analytics
- Informatics and information technology
- Sociology, general
- Social sciences, other
- Computer and information sciences
- Applied linguistics
- Social sciences nec
- Computer science and engineering
- Computer and information sciences, general
- Multidisciplinary interdisciplinary sciences, other
- Social sciences
- Computer and information sciences, other
- Computational science and engineering
- Sociology, demography, and population studies
- Electrical engineering and computer science
- Multidisciplinary interdisciplinary sciences
- Interdisciplinary computer sciences
- Computer science