Variance Estimation (VARSTR, VARPSU Sample Clauses

Variance Estimation (VARSTR, VARPSU. The MEPS has a complex sample design. To obtain estimates of variability (such as the standard error of sample estimates or corresponding confidence intervals) for MEPS estimates, analysts need to take into account the complex sample design of MEPS for both person-level and family- level analyses. Several methodologies have been developed for estimating standard errors for surveys with a complex sample design, including the Xxxxxx-series linearization method, balanced repeated replication, and jackknife replication. Various software packages provide analysts with the capability of implementing these methodologies. Replicate weights have not been developed for the MEPS data. Instead, the variables needed to calculate appropriate standard errors based on the Xxxxxx-series linearization method are included on this file as well as all other MEPS public use files. Software packages that permit the use of the Xxxxxx-series linearization method include SUDAAN, Stata, SAS (version 8.2 and higher), and SPSS (version 12.0 and higher). For complete information on the capabilities of each package, analysts should refer to the corresponding software user documentation. Using the Xxxxxx-series linearization method, variance estimation strata and the variance estimation PSUs within these strata must be specified. The variables VARSTR and VARPSU on this MEPS data file serve to identify the sampling strata and primary sampling units required by the variance estimation programs. Specifying a “with replacement” design in one of the previously mentioned computer software packages will provide estimated standard errors appropriate for assessing the variability of MEPS survey estimates. It should be noted that the number of degrees of freedom associated with estimates of variability indicated by such a package may not appropriately reflect the number available. For variables of interest distributed throughout the country (and thus the MEPS sample PSUs), one can generally expect to have at least 100 degrees of freedom associated with the estimated standard errors for national estimates based on this MEPS database. Prior to 2002, MEPS variance strata and PSUs were developed independently from year to year, and the last two characters of the strata and PSU variable names denoted the year. However, beginning with the 2002 Point-in-Time PUF, the variance strata and PSUs were developed to be compatible with all future PUFs until the NHIS design changed. Thus, when pooling data across...
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Variance Estimation (VARSTR, VARPSU. MEPS has a complex sample design. To obtain estimates of variability (such as the standard error of sample estimates or corresponding confidence intervals) for MEPS estimates, analysts need to take into account the complex sample design of MEPS for both person-level and family- level analyses. Several methodologies have been developed for estimating standard errors for surveys with a complex sample design, including the Xxxxxx-series linearization method, balanced repeated replication, and jackknife replication. Various software packages provide analysts with the capability of implementing these methodologies. Replicate weights have not been developed for the MEPS data. Instead, the variables needed to calculate appropriate standard errors based on the Xxxxxx-series linearization method are included on this file as well as all other MEPS public use files. Software packages that permit the use of the Xxxxxx-series linearization method include SUDAAN, Stata, SAS (version 8.2 and higher), and SPSS (version
Sample 1Sample 2Sample 3See All (6)
Variance Estimation (VARSTR, VARPSU. The MEPS is based on a complex sample design. To obtain estimates of variability (such as the standard error of sample estimates or corresponding confidence intervals) for MEPS estimates, analysts need to take into account the complex sample design of MEPS for both person-level and family-level analyses. Several methodologies have been developed for estimating standard errors for surveys with a complex sample design, including the Xxxxxx-series linearization method, balanced repeated replication, and jackknife replication. Various software packages provide analysts with the capability of implementing these methodologies. MEPS analysts most commonly use the Xxxxxx Series approach. However, an option is also provided to apply the BRR approach when needed to develop variances for more complex estimators.
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Related to Variance Estimation (VARSTR, VARPSU

  • Cost Estimates If this Agreement pertains to the design of a public works project, CONSULTANT shall submit estimates of probable construction costs at each phase of design submittal. If the total estimated construction cost at any submittal exceeds ten percent (10%) of CITY’s stated construction budget, CONSULTANT shall make recommendations to CITY for aligning the PROJECT design with the budget, incorporate CITY approved recommendations, and revise the design to meet the Project budget, at no additional cost to CITY.

  • Performance Evaluation The Department may conduct a performance evaluation of Contractor’s Services, including Contractor’s Subcontractors. Results of any evaluation may be made available to Contractor upon request.

  • Annual Performance Evaluation On either a fiscal year or calendar year basis, (consistently applied from year to year), the Bank shall conduct an annual evaluation of Executive’s performance. The annual performance evaluation proceedings shall be included in the minutes of the Board meeting that next follows such annual performance review.

  • Performance Evaluations Employee performance shall be evaluated and communicated on a yearly basis as required under County policy. Performance evaluations are used to demonstrate to employees that they are valued; record how an employee’s performance meet the requirements of the job; create a job history record; identify employee strengths and areas for enhancement; assist the employee and supervisor in an effort to attain the highest level of performance; and reinforce performance standards. Every effort will be made to include substantiated information within an employee’s performance evaluation. Non-recurring discipline history which is more than two (2) years old will not be referenced in performance evaluations. The County shall ensure employee performance evaluations are conducted in accordance with County and departmental policy. Performance evaluations and disciplinary matters shall only be conducted by County employees. When an employee who does not agree with the overall rating he/she receives on his/her written performance evaluation, he/she shall discuss and attempt to resolve the differences with his/her immediate supervisor. If discussion with his/her immediate supervisor does not result in resolution of the differences, the employee may file a written request to meet with the next level of management. Said request shall state the unresolved issues and the specific changes in the written performance evaluation the employee is seeking. The appropriate manager shall meet with the employee to discuss the unresolved issues. If the issues are not resolved to the employee’s satisfaction following discussion with the appropriate manager, the employee may within thirty (30) working days file a written request for a meeting with the department head. Within fourteen (14) working days of receipt of a written request stating the unresolved issues and the desired changes in the written performance evaluation, the department head shall meet with the employee to discuss the issues. Within ten (10) working days of said meeting, the department head shall respond in writing to the employee. The decision of the Department Head shall be final and not subject to the grievance procedure. An employee may submit a written response to his/her evaluation that shall be placed in his/her personnel file.

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