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UID:pretalx-2022-3BTKPQ@conferences.acspri.org.au
DTSTART;TZID=AEST:20221124T134000
DTEND;TZID=AEST:20221124T135500
DESCRIPTION:The Integrated Public Number Database (IPND) provides access to
  all Australian mobile telephone numbers. Unlike random digit dialling (RD
 D)\, the IPND also provides the postcode at which the number is registered
 . The availability of postcodes is critical for affordable research at the
  state level and below because Australian mobile numbering is not related 
 to geography. As a result of the cost of screening for sub-national sample
 s\, contemporary Australian telephone surveys typically use a blend of mob
 ile RDD and listed mobile sample for cost control. (Landline RDD has large
 ly been discontinued due to declining coverage\, increasing coverage error
  and increasing cost.) Although the IPND has been available for some time 
 for a limited set of use-cases (public health research\, Commonwealth publ
 ic policy research and party political research for candidates or parties)
 \, there has been no systematic investigation into the quality and efficie
 ncy of the IPND relative to RDD\; an absence that this paper aims to remed
 y. We describe the results of (1) a systematic trial conducted on the IPND
  by the Social Research Centre\, in partnership with various state and ter
 ritory health agencies and Cancer Council Victoria (CCV) and (2) parallel 
 administration of RDD and IPND in the CCVs 2022 Victorian Smoking and He
 alth Survey.\nWe first present a brief overview of the IPND and its limita
 tions. The accuracy of geographic information from the IPND trial is shown
 \, at levels from state (correct in 93% of cases) to postcode (correct in 
 75% of cases) and it is demonstrated that no appreciable coverage error wa
 s identified. The results of RDD and IPND samples on demographics and sele
 cted health outcomes and behavioural measures are compared. With the possi
 ble exception of the proportion of very young adults (i.e. 18-19 year-olds
 ) responding\, both unweighted achieved sample and weighted estimates are 
 consistent between RDD and IPND.\nThe results of this paper show that the 
 IPND is fit-for-purpose for public health research that has to date used R
 DD-based designs. Compared to a hypothetical single frame mobile RDD desig
 n for a state-level survey\, IPND will yield similar estimates and sample 
 characteristics but at reduced cost\, due to reduced need for screening. C
 ompared to the dual-frame mobile RDD and listed designs that are actually 
 in use\, costs should be broadly similar but the IPND is preferable becaus
 e it offers the benefits of a pure probability design and higher weighting
  efficiency compared to the dual-frame alternative.\n\nRecording link: htt
 ps://acspri-org-au.zoom.us/rec/share/sFS4E0Eva6L3CETeEbh9cr8bLW7jHf3BqadVr
 D3ZBgTXkIpMYjtO_h9UWipxxHi-.ZbxNTlh6Oe1hAEZ5?startTime=1669255431000
DTSTAMP:20260912T195905Z
LOCATION:Zoom Breakout Room 3
SUMMARY:The Integrated Public Number Database: An Alternate Telephone Frame
  for Population Health and Commonwealth Public Policy Surveys - Benjamin P
 hillips
URL:https://conferences.acspri.org.au/2022/talk/3BTKPQ/
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