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EVALUATION
§
At least 25% more coverage using address-based survey mailing for the 2016 survey instrument than the 2012 survey in dual frame survey calling.
§
The study is a randomly survey of residents (n=1044) and the results will be generalizable to New Brunswick residents with an MOE of +/-3.1 points.
ACKNOWLEDGEMENTS
§
Thank you to Dr. Debra Borie-Holtz, Special Projects Manager at ECPIP & Ann Marie Hill, EJB School of Planning and Public Policy Internship Coordinator
Geospatial Techniques for Improving the Sample Frame of
New Brunswick, NJ
Luz Maria Diaz
Eagleton Center of Public Interest Polling (ECPIP)
SIGNIFICANCE
§
Every four years, ECPIP administers a community longitudinal survey for
clients New Brunswick Tomorrow (NBT), a community based organization
that serves as a catalyst in improving the quality of life and health of New
Brunswick residents.
§
In 2012, the survey was fielded via dual frame calling, resulting in low
contact rates and a sample size of n=750. Address-based sampling, coupled
with GIS mapping, improved the coverage area for the 2016 survey to be
fielded in mid-May.
PURPOSE
§
To field a 2016 New Brunswick survey using address-based sampling and
digitized maps that will increase survey validity and the coverage area of the
New Brunswick sample frame.
METHODOLOGY
§
A sample frame was developed using stratified random probability sampling
by Census Tract, ensuring proportionality between sample frame and Census
Tract populations in New Brunswick.
§
New Brunswick Census Tract and Block populations were identified and
mapped using Census TIGERline shapefiles and ArcMAP 10.2
OUTCOMES
§
7734 households were selected for the stratified sample frame expecting a
10% ineligible error rate and a 15% survey response rate (1044 households).
§
Overall coverage of New Brunswick (compared to Census Tracts) was
estimated at 90 percent which is almost double the coverage of the dual-frame
sample employed in 2012.

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FINAL POSTER INTERNSHIP

  • 1. EVALUATION § At least 25% more coverage using address-based survey mailing for the 2016 survey instrument than the 2012 survey in dual frame survey calling. § The study is a randomly survey of residents (n=1044) and the results will be generalizable to New Brunswick residents with an MOE of +/-3.1 points. ACKNOWLEDGEMENTS § Thank you to Dr. Debra Borie-Holtz, Special Projects Manager at ECPIP & Ann Marie Hill, EJB School of Planning and Public Policy Internship Coordinator Geospatial Techniques for Improving the Sample Frame of New Brunswick, NJ Luz Maria Diaz Eagleton Center of Public Interest Polling (ECPIP) SIGNIFICANCE § Every four years, ECPIP administers a community longitudinal survey for clients New Brunswick Tomorrow (NBT), a community based organization that serves as a catalyst in improving the quality of life and health of New Brunswick residents. § In 2012, the survey was fielded via dual frame calling, resulting in low contact rates and a sample size of n=750. Address-based sampling, coupled with GIS mapping, improved the coverage area for the 2016 survey to be fielded in mid-May. PURPOSE § To field a 2016 New Brunswick survey using address-based sampling and digitized maps that will increase survey validity and the coverage area of the New Brunswick sample frame. METHODOLOGY § A sample frame was developed using stratified random probability sampling by Census Tract, ensuring proportionality between sample frame and Census Tract populations in New Brunswick. § New Brunswick Census Tract and Block populations were identified and mapped using Census TIGERline shapefiles and ArcMAP 10.2 OUTCOMES § 7734 households were selected for the stratified sample frame expecting a 10% ineligible error rate and a 15% survey response rate (1044 households). § Overall coverage of New Brunswick (compared to Census Tracts) was estimated at 90 percent which is almost double the coverage of the dual-frame sample employed in 2012.