Question Order and Interviewer Effects in CATI Scale-up Surveys  

Oleh:

Snidero, Silvia ; Zobec, Federica ; Berchialla, Paola ; Corradetti, Roberto ; Gregori, Dario

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Sociological Methods & Research (SMR) vol. 38 no. 02 (Nov. 2009), page 287-305.
Topik: Scale-up Methods; Interviewer Effect; Question Order; Foreign Body Injuries; Population Size Estimation
Fulltext: SMR vol.38 no.2 p.287_win.pdf (325.49KB)

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Perpustakaan PKPM Nomor Panggil: S28 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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The scale-up estimator is a network-based estimator for the size of hidden or hard to count subpopulations. Several assues arise in the public health context when the aim is the estimation of injuries occurring in a certain population, where two common problems are present: (a) Small injuries are usually difficult to observe and rarely reported in the official data and (b) people are not always complaint in giving information about some specific injuries, in particular when children are involved. This study checked the methodological issues arising from using a computer-assisted telephone interview (CATI) survey using the scale-up methodology for detecting the number of injuries due to chocking in children ages 0 to 14 in Italy. For this purpose, 1,000 CATI interviews were conducted during a week using a questionnaire based on 33 questions about populations of known size according to census data. Then, each respondent was asked about other questions related to the main terget population (e.g., number of children known to suffer from a chocking accident). Sensitivity analysis was conducted for estimating the effect of varying subpopulation, order of the questions, and interviewer effect on the resulting estimates. For the interviewer effect, no particular differences were obsrved in the overall estimates if injuries. The conclusion is the scale-up estimator in association with CATI methodology shows a high potential in the field of injury prevention, being accurate and robust, but particular attention should be given to the training of the interviewers to improve stability of the estimates.

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