What works, what doesn't? Three studies designed to improve survey response.
The relationship between interviewer-respondent rapport and data quality.
Effects of outcome and response models on single-step calibration estimators.
Transitions from telephone surveys to self-administered and mixed-mode surveys: AAPOR task force report.
Goodness-of-fit tests for distributions estimated from complex survey data.
A model-based approach to predict employee compensation components.
Checking validity of monotone domain mean estimators.
Population Assessment of Tobacco and Health (PATH) reliability and validity study: Selected reliability and validity estimates.
Discretionary wars, cost-benefit analysis, and the Rashomon effect: Searching for an analytical engine for avoiding war.
A framework for making decisions about question evaluation methods.
A goodness-of-fit test for regression models with spatially correlated errors.
Harmonizing cigar survey data across TCORS, CTP, and PATH studies: The Cigar Collaborative Research (CCR) Group.
Comparison of three post-tabular confidentiality approaches for survey weighted frequency tables.
Vetting differences between relational database definitions and actual data with SAS.
Do-it-yourself CDISC! A case study of Westat's successful implementation of CDISC standards on a fixed budget.
Dental abnormalities in individuals with pathogenic germline variation in DICER1.
DICER1 syndrome: Characterization of the ocular phenotype in a family-based cohort study.
Replicating published data tables to assess sensitivity in subsequent analyses and mapping.
A bivariate hierarchical Bayesian model for estimating cropland cash rental rates at the county level.
Examining representation and identification: Over, under, or both? (Version 2.0).
Modeling groundwater nitrate exposure in private wells of North Carolina for the Agricultural Health Study.
Panel effects: Do the reports of panel respondents get better or worse over time?.
Further comparisons of unit- and area-level small area estimators.
Is satisficing responsible for response order effects in rating scale question?.
Paradata and dashboards in PIAAC.
Hookah use among U.S. youth: A systematic review of the literature from 2009-2017.
Population-level patterns and mental health and substance use correlates of alcohol, marijuana, and tobacco use and co-use in US young adults and adults: Results from the Population Assessment of Tobacco and Health.
The effects of address coverage enhancement on estimates from a study using an ABS frame.
An approach to predict final yield among interim cases.
Evaluating nonresponse weighting adjustment for the Population-Based HIV Impact Assessments Surveys: On incorporating survey outcomes.
State-level estimation of diabetes and prediabetes prevalence: Combining national and local survey data and clinical data.
Next steps in studying the human microbiome and health in prospective studies, Bethesda, MD, May 16-17, 2017.
A review of statistical methods for generalizing from evaluations of educational interventions.
Trends in U.S. face-to-face household survey nonresponse and level of effort.
Mixed-mode surveys: Design, estimation and adjustment methods.
Practical tools for designing and weighting survey samples, 2nd edition.
Survey weights: A step-by-step guide to calculation.
Model-assisted calibration of non-probability sample survey data using adaptive LASSO.
Patterns and correlates of multiple tobacco product use in the United States.
Sampling to minimize nonresponse bias.
Optimizing response rates.
Separating science knowledge from religious belief: Two approaches for reducing the effect of identity on survey responses.
An adapted measure of sibling attachment: Factor structure and internal consistency of the Sibling Attachment Inventory in youth.
Comparing predictors of employment in Individual Placement and Support: A longitudinal analysis.
Teacher perceptions of a new performance evaluation system and their influence on practice: A within- and between-level analysis.
The impact of question and scale characteristics on scale direction effects.
Validating user-submitted data files with Base SAS.
Using preferred applicant random assignment (PARA) to reduce randomization bias in randomized trials of discretionary programs.
Pilot surveys to improve monitoring of marine recreational fisheries in Hawaii.