1
Master of Science in Statistics, Allameh Tabatabaei University, Iran
2
Associate Professor, Department of Statistics, Allameh Tabatabaei University, Iran.
Abstract
Evidence-based management and development planning rely on official statistics. There are some obstacles that prevent single-mode surveys from being conducted. These obstacles include the sampling frame, time, budget, and measurement accuracy in each mode. These factors make it impossible to always use single-mode surveys. Therefore, there is a need to use another method of data collection that overcomes these obstacles. This method is called mixed-mode survey, which is a combination of several modes. In this paper, we show that mixed-mode surveys can produce more accurate official statistics than single-mode surveys.
Beheshtizadeh, S. & Navabpour, H. (2020). Estimation of the mean square error components in mixed-mode data collection. Andishe_ye Amari, 25(1), 33-42.
MLA
Beheshtizadeh, S., & Navabpour, H. "Estimation of the mean square error components in mixed-mode data collection", Andishe_ye Amari, 25, 1, 2020, 33-42.
HARVARD
Beheshtizadeh S., Navabpour H. (2020). 'Estimation of the mean square error components in mixed-mode data collection', Andishe_ye Amari, 25(1), pp. 33-42.
CHICAGO
S. Beheshtizadeh & H. Navabpour, "Estimation of the mean square error components in mixed-mode data collection," Andishe_ye Amari, 25 1 (2020): 33-42,
VANCOUVER
Beheshtizadeh S., Navabpour H. Estimation of the mean square error components in mixed-mode data collection. Andishe_ye Amari. 2020;25(1):33-42 (In Persian).
