Dados Bibliográficos

AUTOR(ES) Thomas Daum , Hannes Buchwald , Ansgar Gerlicher , Regina Birner
AFILIAÇÃO(ÕES) Hans-Ruthenberg-Institute of Agricultural Science in the Tropics, University of Hohenheim, Stuttgart, Germany, Institute for Applied Science, University of Media, Stuttgart, Germany
ANO 2019
TIPO Artigo
PERIÓDICO Field Methods
ISSN 1525-822X
E-ISSN 1552-3969
EDITORA Annual Reviews (United States)
DOI 10.1177/1525822x18797303
CITAÇÕES 3
ADICIONADO EM 2025-08-18
MD5 4c508eac0bed4368965b6dda16751068

Resumo

One challenge of collecting socioeconomic data, such as data on time-use, is recall biases. While time-use researchers have continuously developed new methods to make data collection more accurate and easy, these methods are difficult to use in developing countries, where study participants may have low literacy levels and no clock-based concepts of time. To contribute to the closing of this research gap, we developed a picture-based smartphone app called Time-Tracker that allows data recording in real time to avoid recall biases. We pilot tested the app in rural Zambia, collecting 2,790 data days. In this article, we compare the data recorded with the app to data collected with 24-hours recall questions. The results confirm the literature on recall biases, suggesting that using the app leads to valid results. We conclude that smartphone apps using visual tools provide new opportunities for researchers collecting socioeconomic data in developing countries.

Ferramentas