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:: Volume 25, Issue 1 (1-2021) ::
Andishe 2021, 25(1): 33-42 Back to browse issues page
Estimating Components of Mean Square Error for Mixed Mode Data Collection
Samaneh Beheshtizadeh * , Hamidreza Navvabpour
Abstract:   (1633 Views)
Evidence-based management and development planning relies on official statistics. There are some obstacles that make it impossible to do a single-mode survey. These obstacles are the sampling frame, time, budget, and accuracy of measurement of each mode. Always we can not use a single-mode survey because of these factors. So we need to use other data collection methods to overcome these obstacles. This method is called the mixed-mode survey, which is a combination of several modes. In this article, we show that mixed-mode surveys can produce more accurate official statistics than single-mode surveys.
Keywords: total survey error, nonresponse error, measurment error, coverage error, sampling variance.
Full-Text [PDF 344 kb]   (648 Downloads)    
Type of Study: Applicable | Subject: Special
Received: 2019/12/22 | Accepted: 2021/01/20 | Published: 2021/01/29
References
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9. Olson, K., Smyth, J. D., and Wood, H. M. (2012). Does Giving People their Preferred Survey Mode Actually Increase Survey Participation Rates? An Experimental Examination, Public Opinion Quarterly, 76, 611–635.
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beheshtizadeh S, navvabpour H. Estimating Components of Mean Square Error for Mixed Mode Data Collection. Andishe 2021; 25 (1) :33-42
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Volume 25, Issue 1 (1-2021) Back to browse issues page
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