Survey design

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  • 1. Using balanced sampling in creel surveys Archived
    Articles and reports: 12-001-X201800254954
    Description:

    These last years, balanced sampling techniques have experienced a recrudescence of interest. They constrain the Horvitz Thompson estimators of the totals of auxiliary variables to be equal, at least approximately, to the corresponding true totals, to avoid the occurrence of bad samples. Several procedures are available to carry out balanced sampling; there is the cube method, see Deville and Tillé (2004), and an alternative, the rejective algorithm introduced by Hájek (1964). After a brief review of these sampling methods, motivated by the planning of an angler survey, we investigate using Monte Carlo simulations, the survey designs produced by these two sampling algorithms.

    Release date: 2018-12-20
  • 2. A reduced-size transportation algorithm for maximizing the overlap between surveys Archived
    Articles and reports: 12-001-X199500214395
    Description:

    When redesigning a sample with a stratified multi-stage design, it is sometimes considered desirable to maximize the number of primary sampling units retained in the new sample without altering unconditional selection probabilities. For this problem, an optimal solution which uses transportation theory exists for a very general class of designs. However, this procedure has never been used in the redesign of any survey (that the authors are aware of), in part because even for moderately-sized strata, the resulting transportation problem may be too large to solve in practice. In this paper, a modified reduced-size transportation algorithm is presented for maximizing the overlap, which substantially reduces the size of the problem. This reduced-size overlap procedure was used in the recent redesign of the Survey of Income and Program Participation (SIPP). The performance of the reduced-size algorithm is summarized, both for the actual production SIPP overlap and for earlier, artificial simulations of the SIPP overlap. Although the procedure is not optimal and theoretically can produce only negligible improvements in expected overlap compared to independent selection, in practice it gave substantial improvements in overlap over independent selection for SIPP, and generally provided an overlap that is close to optimal.

    Release date: 1995-12-15
  • 3. Visitor sample surveys Archived
    Articles and reports: 12-001-X199500114406
    Description:

    This paper discusses the design of visitor surveys. To illustrate, two recent surveys are described. The first is a survey of visitors to National Park Service areas nationwide throughout the year (1992). The second is a survey of recreational users of the three-river basin around Pittsburgh, Pennsylvania, during a twelve-month period. Both surveys involved sampling in time with temporal as well as spatial stratification. Sampling units had the form of site-period pairs for the stage before the final, visitor sampling stage. Random assignment of sample sites to periods permits the computation of unbiased estimates for the temporal strata (e.g., monthly and seasonal estimates) as well as estimates for strata defined by region and by type of use.

    Release date: 1995-06-15
  • 4. Hierarchical and empirical Bayes methods for adjustment of census undercount: The 1988 Missouri dress rehearsal data Archived
    Articles and reports: 12-001-X199200114497
    Description:

    The present article discusses a model-based approach towards adjustment of the 1988 Census Dress Rehearsal Data collected from test sites in Missouri. The primary objective is to develop procedures that can be used to model data from the 1990 Census Post Enumeration Survey in April, 1991 and smooth survey-based estimates of the adjustment factors. We have proposed in this paper hierarchical Bayes (HB) and empirical Bayes (EB) procedures which meet this objective. The resulting estimators seem to improve consistently on the estimators of the adjustment factors based on dual system estimation (DSE) as well as the smoothed regression estimators.

    Release date: 1992-06-15
  • 5. Telephone sample designs for the U.S. Black Household Population Archived
    Articles and reports: 12-001-X198700114465
    Description:

    The two-stage rejection rule telephone sample design described by Waksberg (1978) is modified to improve the efficiency of telephone surveys of the U.S. Black population. Experimental tests of sample design alternatives demonstrate that: a) use of rough stratification based on telephone exchange names and states; b) use of large cluster definitions (200 and 400 consecutive numbers) at the first stage; and c) rejection rules based on racial status of the household combine to offer improvements in the relative precision of a sample, given fixed resources. Cost and error models are examined to simulate design alternatives.

    Release date: 1987-06-15
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  • 1. Using balanced sampling in creel surveys Archived
    Articles and reports: 12-001-X201800254954
    Description:

    These last years, balanced sampling techniques have experienced a recrudescence of interest. They constrain the Horvitz Thompson estimators of the totals of auxiliary variables to be equal, at least approximately, to the corresponding true totals, to avoid the occurrence of bad samples. Several procedures are available to carry out balanced sampling; there is the cube method, see Deville and Tillé (2004), and an alternative, the rejective algorithm introduced by Hájek (1964). After a brief review of these sampling methods, motivated by the planning of an angler survey, we investigate using Monte Carlo simulations, the survey designs produced by these two sampling algorithms.

    Release date: 2018-12-20
  • 2. A reduced-size transportation algorithm for maximizing the overlap between surveys Archived
    Articles and reports: 12-001-X199500214395
    Description:

    When redesigning a sample with a stratified multi-stage design, it is sometimes considered desirable to maximize the number of primary sampling units retained in the new sample without altering unconditional selection probabilities. For this problem, an optimal solution which uses transportation theory exists for a very general class of designs. However, this procedure has never been used in the redesign of any survey (that the authors are aware of), in part because even for moderately-sized strata, the resulting transportation problem may be too large to solve in practice. In this paper, a modified reduced-size transportation algorithm is presented for maximizing the overlap, which substantially reduces the size of the problem. This reduced-size overlap procedure was used in the recent redesign of the Survey of Income and Program Participation (SIPP). The performance of the reduced-size algorithm is summarized, both for the actual production SIPP overlap and for earlier, artificial simulations of the SIPP overlap. Although the procedure is not optimal and theoretically can produce only negligible improvements in expected overlap compared to independent selection, in practice it gave substantial improvements in overlap over independent selection for SIPP, and generally provided an overlap that is close to optimal.

    Release date: 1995-12-15
  • 3. Visitor sample surveys Archived
    Articles and reports: 12-001-X199500114406
    Description:

    This paper discusses the design of visitor surveys. To illustrate, two recent surveys are described. The first is a survey of visitors to National Park Service areas nationwide throughout the year (1992). The second is a survey of recreational users of the three-river basin around Pittsburgh, Pennsylvania, during a twelve-month period. Both surveys involved sampling in time with temporal as well as spatial stratification. Sampling units had the form of site-period pairs for the stage before the final, visitor sampling stage. Random assignment of sample sites to periods permits the computation of unbiased estimates for the temporal strata (e.g., monthly and seasonal estimates) as well as estimates for strata defined by region and by type of use.

    Release date: 1995-06-15
  • 4. Hierarchical and empirical Bayes methods for adjustment of census undercount: The 1988 Missouri dress rehearsal data Archived
    Articles and reports: 12-001-X199200114497
    Description:

    The present article discusses a model-based approach towards adjustment of the 1988 Census Dress Rehearsal Data collected from test sites in Missouri. The primary objective is to develop procedures that can be used to model data from the 1990 Census Post Enumeration Survey in April, 1991 and smooth survey-based estimates of the adjustment factors. We have proposed in this paper hierarchical Bayes (HB) and empirical Bayes (EB) procedures which meet this objective. The resulting estimators seem to improve consistently on the estimators of the adjustment factors based on dual system estimation (DSE) as well as the smoothed regression estimators.

    Release date: 1992-06-15
  • 5. Telephone sample designs for the U.S. Black Household Population Archived
    Articles and reports: 12-001-X198700114465
    Description:

    The two-stage rejection rule telephone sample design described by Waksberg (1978) is modified to improve the efficiency of telephone surveys of the U.S. Black population. Experimental tests of sample design alternatives demonstrate that: a) use of rough stratification based on telephone exchange names and states; b) use of large cluster definitions (200 and 400 consecutive numbers) at the first stage; and c) rejection rules based on racial status of the household combine to offer improvements in the relative precision of a sample, given fixed resources. Cost and error models are examined to simulate design alternatives.

    Release date: 1987-06-15
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