sample design

sample design

[′sam·pəl di‚zīn]
(statistics)
A procedure or plan drawn up before any data are collected to obtain a sample from a given population. Also known as sampling plan; survey design.
References in periodicals archive ?
The training workshop which brought together relevant stakeholders, including representatives from the Pakistan Bureau of Statistics, Ministry of National Food Security and Research, Ministry of Planning, Development and Reform, Pakistan Space and Upper Atmosphere Commission, Provincial Bureaus of Statistics and Crop Reporting Services (CRS of Agriculture Departments), aimed to introduce global methodologies employed for the preparation and use of master sampling frame, sample design for integrated agriculture census and GIS/remote sensing for agriculture statistics.
Additional information on sample design and data limitations for specific SOI studies can be found in the separate SOI reports.
In its infancy, the CES program first published estimates without a formal sample design. Soon after, CES started partnering with state workforce agencies (SWAs), beginning in 1916 with the state of New York, to conduct the CES as a federal-state cooperative program.
In the report, "Reduced Incidence of Chikungunya Virus Infection in Communities with Ongoing Aedes Aegypti Mosquito Trap Intervention Studies--Salinas and Guayama, Puerto Rico, November 2015--February 2016," the last sentence of the fifth paragraph should have read, "After adjustment for sample design, the proportion of chikungunya virus IgG antibody among participants from the two intervention communities was one half that of participants from nonintervention communities (risk ratio = 0-52, 95% confidence interval = 0-38-0-71) (Table)-" The report was first published online as an Early Release on May 10, 2016, and is now contained in this regular May 13 issue
Taking into account practical considerations and using a little finesse during the sample design and planning stages can ease the implementation and facilitate future use and maintenance of the fixed-asset listing.
The results of the alternative models demonstrate that depending on the variables of interest, authors who fail to incorporate sample design information or fail to consider the effects of weighting may draw improper inferences from their regression models.
This edition also adds two new chapters on sample design and implementation, and four methodology appendices on sampling models, organizational surveys, questionnaire evaluation, and cognitive interviewing.
All reported margins of sampling error include the computed design effects for weighting and sample design.
They address issues in census, frames, registers, and administrative data; sample design, weighting, and estimation; geographical information systems and remote sensing; data editing and quality assurance; and data dissemination and survey data analysis.
TABLE 1 Sample Design For 3-Tier Hospital Benefits Program Domestic PPO Non PPO Deductible $250 $500 $1,000 Physician copayment $20 $40 N/A Coinsurance 90% 80% 60% Out-of-pocket limit $1,250 $2,000 $4,000 TABLE 2 Sample Hospital Benefits Design With HRA PPO Non PPO Deductible $1,000 $2,000 Physician copayment N/A N/A Coinsurance 80% 60% Out-of-pocket limit $2,500 $5,000 TABLE 3 Sample Design For Hospital Rx Benefits Tier Benefit Level Domestic (all tiers) $10 copay Tier 1 $15 copay + 10% coinsurance Tier 2 $25 copay + 20% coinsurance Tier 3 $30 copay + 30% coinsurance
These do not appear to be due to changes in the rate of criminal activity during this period but, rather, to variations in the sample design and implementation of the survey.