Improving household surveys through computer-assisted data collection: Use of touch-screen laptops in challenging environments

Jill Caviglia-Harris; Simon Hall; Katrina Mulllan; Charlie Macintyre; Simone Carolina Bauch; Daniel Harris; Erin Sills; Dar Roberts; Michael Toomey; Hoon Cha

doi:10.1177/1525822X11399704

Improving household surveys through computer-assisted data collection: Use of touch-screen laptops in challenging environments

Jill Caviglia-Harris
, Simon Hall
, Katrina Mulllan
, Charlie Macintyre
, Simone Carolina Bauch
, Daniel Harris
, Erin Sills
, Dar Roberts
, Michael Toomey
, Hoon Cha

Economics

Research output: Contribution to journal › Review article › peer-review

26 Scopus citations

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.

Original language	English
Pages (from-to)	74-94
Number of pages	21
Journal	Field Methods
Volume	24
Issue number	1
DOIs	https://doi.org/10.1177/1525822X11399704
State	Published - Feb 2012

Funding

The authors would like to thank the survey team Rafael Alves da Silva, Anderson Boina, Alexsandro de Oliveira, Laize Sampaio Chagas e Silva, Maria Eliza Cota e Souza, Luzia Correa Dias, Liege Gehm, Juliana Gragnani, Julia Faro, Tânia Cloilde R. Luz, Ivone Holz Seidel, and Priscilla Souza for their tireless efforts to complete the household surveys as well as the local residents of Ouro Preto do Oeste for their participation. The authors would also like to thank Carlos José da Silva for serving as a driver and guide to the GIS team; his local knowledge was invaluable. Previous rounds of data collection were supported by the National Science Foundation, SES-0452852 in 2005, SES-0076549 in 2000, and the National Security Education Program, the Organization of American States, the Institute for the Study of World Politics, and the McClure Fund Foundation in 1996. A majority, if not all, of the data used in the analysis can be found at the archive of social science data for research and instruction at the Inter-university Consortium for Political and Social Research of the University of Michigan. All location identifiers have been removed. The author(s) disclosed receipt of the following financial support for the research and/or authorship of this article: This research was funded by the National Science Foundation, under grant SES-0752936.

Funders	Funder number
SES-0752936, SES-0076549, SES-0452852
Organization of American States

Keywords

Computer-aided personal interviewing (CAPI)
Data collection
Household surveys
PAPI
Panel surveys

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1177/1525822X11399704

Cite this

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title = "Improving household surveys through computer-assisted data collection: Use of touch-screen laptops in challenging environments",

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.",

keywords = "Computer-aided personal interviewing (CAPI), Data collection, Household surveys, PAPI, Panel surveys",

author = "Jill Caviglia-Harris and Simon Hall and Katrina Mulllan and Charlie Macintyre and Bauch, \{Simone Carolina\} and Daniel Harris and Erin Sills and Dar Roberts and Michael Toomey and Hoon Cha",

note = "Funding Information: The authors would like to thank the survey team Rafael Alves da Silva, Anderson Boina, Alexsandro de Oliveira, Laize Sampaio Chagas e Silva, Maria Eliza Cota e Souza, Luzia Correa Dias, Liege Gehm, Juliana Gragnani, Julia Faro, T{\^a}nia Cloilde R. Luz, Ivone Holz Seidel, and Priscilla Souza for their tireless efforts to complete the household surveys as well as the local residents of Ouro Preto do Oeste for their participation. The authors would also like to thank Carlos Jos{\'e} da Silva for serving as a driver and guide to the GIS team; his local knowledge was invaluable. Previous rounds of data collection were supported by the National Science Foundation, SES-0452852 in 2005, SES-0076549 in 2000, and the National Security Education Program, the Organization of American States, the Institute for the Study of World Politics, and the McClure Fund Foundation in 1996. A majority, if not all, of the data used in the analysis can be found at the archive of social science data for research and instruction at the Inter-university Consortium for Political and Social Research of the University of Michigan. All location identifiers have been removed. Funding Information: The author(s) disclosed receipt of the following financial support for the research and/or authorship of this article: This research was funded by the National Science Foundation, under grant SES-0752936.",

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AU - Macintyre, Charlie

AU - Bauch, Simone Carolina

AU - Harris, Daniel

AU - Sills, Erin

AU - Roberts, Dar

AU - Toomey, Michael

AU - Cha, Hoon

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Improving household surveys through computer-assisted data collection: Use of touch-screen laptops in challenging environments

Abstract

Funding

Keywords

UN SDGs

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