ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2014
Sample design, sample augmentation, and estimation for Wave 2 of the NSHAP.
Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.
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Who cites it
87 citing papers in PubMed.
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- Neighborhood Environment and Late-Life Cognition: Exploring the Mediating Effect of Sleep and Differential Pathways by Race.AJPM focus · 2026Article
- Beyond close ties: how social engagement shapes care-giver burden in later life.Ageing and society · 2026Article
- Where Does It Hurt? A 4-S Model of Pain Onset and Recovery Across Body Sites Among Older Adults.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025Article
- Disentangling Selection Into Mode From Mode Effects.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025Article
- Addressing Cognitive Assessment Disparities Among Hispanic Adults: Adapting the MoCA-SA for Improved Accuracy and Accessibility Among Spanish Speakers.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025Article
- Transitioning an In-Person Survey of Older Adults to Multimode Data Collection.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025Article
- Race/Ethnicity and the Measurement of Cognition in the National Social Life, Health, and Aging Project: Recommendations for Robustness.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025Article
- Social Connectedness of Older Adults During the COVID-19 Pandemic: Evidence by Survey Mode and Respondent Dementia.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025Article
- Cognitive Domains in the National Social Life, Health, and Aging Project.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025Article
- Social Network Types and Self-Rated Health Among Diverse Older Adults: Stability, Transitions, and Implications for Health Equity.Innovation in aging · 2025Article
- Network Types and Functional Health in Old Age: It is Not Just the Size of the Network That Matters.Journal of aging and health · 2024Article
- The Interaction of Positive and Negative Relationship Characteristics and Their Association with Relationship and Individual Health Outcomes in Older Couples.Behavioral sciences (Basel, Switzerland) · 2024Article
- Which Social Variables Predict Diabetes Onset? Robust Findings in Two National Surveys.The Gerontologist · 2024Article
- Unequal loss: Disparities in relational closeness to a COVID-19 death among U.S. older adults.Journal of the American Geriatrics Society · 2024Article
- The Interplay of Race, Ethnicity, and Language in Caregiver Health: Insights from the National Social Life, Health, and Aging Project.Research square · 2024Article
- Moderation of associations between weight discrimination and diabetes status by psychosocial factors.Journal of behavioral medicine · 2024Article
- On the road to retirement: Predicting nighttime driving difficulty and cessation using self-reported health factors.Journal of transport & health · 2024Article
- Air pollution exposure is associated with rhinitis in older US adults via specific immune mechanisms.International forum of allergy & rhinology · 2024Article
27 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
objectivesThe sample for the second wave (2010) of National Social Life, Health, and Aging Project (NSHAP) was designed to increase the scientific value of the Wave 1 (2005) data set by revisiting sample members 5 years after their initial interviews and augmenting this sample where possible.
methodThere were 2 important innovations. First, the scope of the study was expanded by collecting data from coresident spouses or romantic partners. Second, to maximize the representativeness of the Wave 2 data, nonrespondents from Wave 1 were again approached for interview in the Wave 2 sample.
resultsThe overall unconditional response rate for the Wave 2 panel was 74%; the conditional response rate of Wave 1 respondents was 89%; the conditional response rate of partners was 84%; and the conversion rate for Wave 1 nonrespondents was 26%. DISCUSSION: The inclusion of coresident partners enhanced the study by allowing the examination of how intimate, household relationships are related to health trajectories and by augmenting the size of the NSHAP sample size for this and future waves. The uncommon strategy of returning to Wave 1 nonrespondents reduced potential bias by ensuring that to the extent possible the whole of the original sample forms the basis for the field effort. NSHAP Wave 2 achieved its field objectives of consolidating the panel, recruiting their resident spouses or romantic partners, and converting a significant proportion of Wave 1 nonrespondents.
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