Estimation of dyadic characteristics of family networks using sample survey data
| Autor: | Chris J. Skinner, Fiona Steele |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Statistics and Probability
Estimation poststratification Computer science Estimator Survey sampling HQ The family. Marriage. Woman Coresident Missing data Modeling and Simulation Data quality Statistics network sampling HA Statistics QA Mathematics Statistics Probability and Uncertainty Frequency distribution Construct (philosophy) reporting error Dyad |
| Zdroj: | Ann. Appl. Stat. 14, no. 2 (2020), 706-726 |
| Popis: | We consider the use of sample survey data to estimate dyadic characteristics of family networks, with an application to noncoresident parent–child dyads. We suppose that survey respondents report either from a parent or child perspective about a dyad, depending on their membership of the dyad. We construct separate estimators of common dyadic characteristics using data from both a parent and a child perspective and show how comparisons of these estimators can shed light on data quality issues including differential missingness and reporting error. In our application we find that a simple missingness model explains some striking patterns of discrepancies between the estimators and consider the use of poststratification and a related redefinition of count variables to adjust for these discrepancies. We also develop approaches to combining the separate estimators efficiently to estimate means and frequency distributions within subpopulations. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|