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Web Survey Bibliography

Title New Methods for Measuring Quality Indicators of ISTAT’s New CAPI/CATI Labour Force Survey
Author Giuliani, G., Grassia, M. G., Quattrociocchi, L., Ranaldi, R.
Source European Conference on Quality and Methodology in Official Statistics, 2004
Year 2004
Access date 01.09.2004
Abstract In the last two years, the Italian Institute of Statistics has invested huge resources to transform the labour force survey in compliance with EUROSTAT standards while revolutionising the survey technique. From a PAPI technique in the current labour force survey, with interviewers of the municipalities which entered the sample, we have passed to a mixed technique: CAPI for the first family interviews and CATI for the confirmation interviews following the first, with the direct management of interviewers in the new survey on the part of ISTAT. The internal survey network has made it necessary to evaluate interviewer performance in time, as well as their impact on survey quality. But what indicators should be used to monitor the continuous data collection process? The first aim has been to construct an indicator plan comprising indicators useful to monitor the data collection process and changes in time of the network of interviewers, as well as the panel survey in its entirety, and therefore the impact of its course on sampling error. This indicator plan has been constructed in line with international standards for official face-to-face and telephone surveys (AAPOR1 Standard Definitions). The second aim has been to analyse these indicators using multidimensional analysis techniques, in order to ensure the comprehension of the “quality” phenomenon, a complex issue in itself. In particular for the network of interviewers, the issue was to evaluate and represent the work of n interviews working in different geographical locations and with different personal characteristics, observing p outcomes of interviews in t time intervals. The aim was therefore to evaluate if and to what extent differences in the survey’s quality indicators can be ascribed to personal and/or geographical characteristics. To this purpose we applied STATIS method and we proposed new developments of it, which, on the basis of the main quality indicators, allows us to estimate the latent factors that measure structural differences and dynamics through time. The results show the formation of clusters of units with common personal and geographical characteristics which progressively diverge.
Access/Direct link Homepage - conference (abstract)
Year of publication2004
Bibliographic typeConferences, workshops, tutorials, presentations
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Web survey bibliography - Italy (57)

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