Optimal Stratification of Survey Experiments

[2111.08157] Optimal Stratification of Survey Experiments - arXiv

This paper studies a two-stage model of experimentation, where the researcher first samples representative units from an eligible pool, then assigns each ...

Our results provide simple heuristics for optimal sampling of the experimental units, analogous to classical results on sample allocation for coarsely ...

Optimal Stratification of Survey Experiments - IDEAS/RePEc

We show that two-stage stratification nonparametrically dampens the variance of treatment effect estimation. We formulate and solve the optimal stratification ...

OPTIMAL STRATIFICATION IN RANDOMIZED EXPERIMENTS

At the beginning of the study, researchers have a large set of base- line variables: past criminal record, prison behavior, family history, and ...

What are the best methods for stratification? - ResearchGate

In finite population survey statistics, for survey methodology and data analysis, data are stratified to reduce overall variance. But ...

Optimal Allocation of Sample Sizes to Multicenter Clinical Trials - PMC

The method we studied was adopted from a stratified sampling survey design. The sample size allocated to centers is a function of center's treatment cost, the ...

Optimal Survey Design: A Review (PDF) - Bureau of Labor Statistics

A study of optimum allocation in multivariate stratified surveys. Skandi ... Theory of Optimal Experiments. New York: Academic Press. Gentle, J. E. ...

Designing Valid and Reliable Vignette Experiments for Survey ...

A reliable vignette study is characterized by reliable vignette measurements, a balanced and blocked experimental design, and a stratified respondent sample of ...

Computing optimal stratum boundaries for multivariate surveys

Abstract: IN most surveys, the target variables (items of interest) commonly resemble right-skewed distributions where the Stratified Random Sampling ...

[PDF] OPTIMAL STRATIFICATION IN RANDOMIZED EXPERIMENTS

This paper shows that stratifying on the conditional expectation of the outcome given baseline variables is optimal in matched-pair randomized experiments.

Geometric Versus Optimization Approach to Stratification

Many surveys deal with positively skewed study variables. If this is the case, it is important to take into account this attribute when stratifying a population ...

Observational Studies, Confounders, and Stratification

With observational studies, you need a much bigger sample size than you do with randomized experiments because each time you stratify for a possible confounder ...

Stratified Randomized Experiments - Kosuke Imai

10 months followup survey for 50 pairs ... Optimal matching algorithm stratification of variable size? Other designs. Post-stratification and rerandomization.

Constructing efficient strata boundaries in stratified sampling using ...

For maximum precision in population parameter estimation under the Stratified sampling design, the optimum strata boundaries (OSB) could be ...

Constructing efficient strata boundaries in stratified sampling using ...

If constructed optimally, the OSB results in homogenous units within each stratum leading to optimal stratum sample sizes (OSS) as well. The OSB ...

Heuristic approach applied to the optimum stratification problem

Numerical experiments were performed over a dataset of ... Zimmer, Optimal stratification and allocation for the june agricultural survey.

Univariate Stratification of Survey Populations

Optimal stratification using random search method in agricultural surveys. ... as the original Kozak's algorithm in our numerical experiments. ALGORITHM ...

(How) Should I stratify when randomizing at the group level?

Stratification, especially when there aren't many units of randomization (such as group randomized experiments), eliminates the possibility that ...

(PDF) stratifyR: An R Package for Optimal Stratification and Sample ...

When the dataset is not available, stratification is made based on the assumption that the values of the study variable, y, are available as ...

Joint determination of optimal stratification and sample allocation ...

Section 5 reports and. Page 5. Survey Methodology, December 2013. 371. Statistics Canada, Catalogue No. 12-001-X analyses the results of the application of the ...