Related Experiment Video
Updated: Apr 21, 2026

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
Published on: March 19, 2021
Sample design, sample augmentation, and estimation for Wave 2 of the NSHAP
Colm O'Muircheartaigh1, Ned English2, Steven Pedlow2
1University of Chicago Harris School and NORC and caomuirc@uchicago.edu.
The National Social Life, Health, and Aging Project (NSHAP) Wave 2 successfully re-interviewed participants and included partners, enhancing health and relationship research. This study also re-engaged non-respondents to improve data representativeness.
Area of Science:
- Gerontology
- Sociology
- Public Health
Background:
- The National Social Life, Health, and Aging Project (NSHAP) collected baseline data in 2005.
- Wave 2 aimed to enhance the scientific value of the initial dataset.
Purpose of the Study:
- To revisit Wave 1 participants 5 years later (2010) and augment the sample.
- To expand the study by including coresident spouses or romantic partners.
- To maximize the representativeness of Wave 2 data by re-approaching Wave 1 nonrespondents.
Main Methods:
- Re-interviewing the original cohort 5 years after the first interview.
- Collecting data from coresident partners of the original sample members.
- Re-contacting individuals who did not participate in Wave 1.
Main Results:
- The overall response rate for Wave 2 was 74%.
- The conditional response rate for Wave 1 respondents was 89%.
- The conversion rate for Wave 1 nonrespondents was 26%.
Conclusions:
- Including partners allowed for the examination of intimate relationships and health trajectories.
- Re-engaging nonrespondents minimized potential bias and enhanced sample representativeness.
- NSHAP Wave 2 successfully consolidated the panel, recruited partners, and converted nonrespondents.
More Related Videos
09:33Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
Published on: December 23, 2022
04:46'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
Published on: September 18, 2018
Related Concept Videos
Sample Size Calculation
The sample size for the given experiment or sampling effort is fundamental to any study design. Sample size decides the number of...
Sample Proportion and Population Proportion
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...
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...
Random Sampling Method
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...