1. A study examined whether post-stratification adjustments can reduce bias in telephone surveys that do not sample cellphone-only households.
2. The study found that adjusting survey weights to account for cellphone-only households significantly reduced bias for key health outcomes like health insurance coverage and access to care.
3. However, the adjustments were less effective for some populations like Hispanics, Blacks, and young adults. Overall bias remained small after adjustments.
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Can Post-Stratification Adjustments Do Enough to Reduce Bias in Telephone Surveys that Do Not Sample Cell Phones? It Depends
1. Can Post-Stratification Adjustments Do Enough to Reduce Bias in Telephone Surveys that Do Not Sample Cell Phones? It Depends Kathleen Thiede Call SHADAC AAPOR, Chicago May 15, 2009 Funded by a grant from the Robert Wood Johnson Foundation
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8. Table 1. Selected outcomes for non-elderly; original public use weights by phone status Non-CPOH subsample (A-B) significantly underestimates all key health related outcomes Non-CPOH and CPOH subsamples are significantly different on all health related estimates (C-B); CPOH rates are higher on all outcomes ^Status of adults (18+) * T-tests corrected for overlapping observations (A-B) and are significant at the p ≤ .05 level or more
14. Table 4. Reweighted estimates for key segments of non-elderly population Bias reduction is greatest among total non-elderly; works least well for young adults Average absolute bias across estimates is relatively small for reweighted data
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