Related Experiment Video
Updated: Aug 3, 2025

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
Published on: September 27, 2019
Effects of Address Coverage Enhancement on Estimates from Address-Based Sampling Studies
Michael Jones1, J Michael Brick2, Wendy Van De Kerckhove3
1is a Senior Statistician, is a Senior Statistician with Westat, 1600 Research Blvd, Rockville, MD 20850, USA.
Address-based sampling (ABS) frames may have undercoverage, especially in rural areas. However, the Address Coverage Enhancement (ACE) procedure minimally impacted survey estimates due to high overall coverage rates.
Area of Science:
- Survey methodology
- Statistical sampling
- Public health research
Background:
- Address-based sampling (ABS) is widely used for surveys but can undercover certain households.
- Undercoverage is often more pronounced in rural areas or for new constructions.
Purpose of the Study:
- To investigate the Address Coverage Enhancement (ACE) procedure for supplementing ABS frames.
- To assess the impact of ACE-added addresses on survey estimates.
Main Methods:
- Calculated weighted estimates from two studies (PATH and PIAAC) with and without supplemental addresses from ACE.
- Assessed if poststratification by urbanicity reduced discrepancies between supplemented and unsupplemented frames.
Main Results:
- Noncoverage bias was minimal across both studies for various estimates.
- High coverage rates of the Computerized Delivery Sequence file contributed to minimal bias.
Conclusions:
- The ACE procedure's impact on estimates was minimal due to high overall frame coverage.
- Even with potential undercoverage, survey estimates remained largely unbiased.
Related Concept Videos
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Convenience Sampling Method
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
What are Estimates?
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
Stratified Sampling Method
To choose a stratified sample, divide the population into groups called strata and then take a...
Confounding in Epidemiological Studies
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...

