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  • Surveys and statistical programs – Documentation: 75F0002M1993019
    Description:

    This paper examines the issues and the procedures designed to maintain a representative sample of the population for the Survey of Labour and Income Dynamics (SLID).

    Release date: 1995-12-30

  • Surveys and statistical programs – Documentation: 75F0002M1994001
    Description:

    This paper describes the Survey of Labour and Income Dynamics (SLID) following rules, which govern who is traced and who is interviewed. It also outlines the conceptual basis for these procedures.

    Release date: 1995-12-30

  • 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

  • Articles and reports: 82-003-X19950011661
    Geography: Canada
    Description:

    In 1994, Statistics Canada began data collection for the National Population Health Survey (NPHS), a household survey designed to mesure the health status of Canadians and to expand knowledge of health determinants. The survey is longitudinal, with data being collected on selected panel members every second year. This article focuses on the NPHS sample design ant its rationale. Topics include sample allocation, representativeness, and selection; modifications in Quebec and the territories; and integration of the NPHS with the National Longitudinal Survey of Children. The final section considers some methodological issues to be addresses in future waves of the survey.

    Release date: 1995-07-27

  • 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

  • Articles and reports: 12-001-X199500114409
    Description:

    Classical results in finite population sampling tell us that systematic sampling is the most efficient equal-probability one-per-stratum design for certain kinds of autocorrelated superpopulations, but stratified simple random sampling may be much better than systematic sampling if the superpopulation is a trend with uncorrelated errors. What if the superpopulation consists of a trend plus autocorrelated errors? Intuitively, some sort of “compromise” between the two designs might be better than either. Such compromise designs are constructed in this paper and are shown to be examples of Markov chain designs, a wide class of methods for one-per-stratum selection from a finite population. These designs include as special cases systematic sampling, balanced systematic sampling and stratified simple random sampling with one sampling unit per stratum. First and second-order inclusion probabilities are derived for Markov chain designs, yielding the Horvitz-Thompson estimator and its variance. Efficiency of the Horvitz-Thompson estimator is evaluated using superpopulation models. Numerical examples show that new designs considered here can be more efficient than standard designs for superpopulations consisting of trend plus autocorrelated errors. An example of the implementation of Markov chain designs for the 1992 National Resources Inventory in Alaska is given.

    Release date: 1995-06-15

  • Articles and reports: 12-001-X199500114414
    Description:

    It is well known that the sample mean based on the distinct sample units in simple random sampling with replacement is more efficient than the sample mean based on all units selected including repetitions (Murthy 1967, pp. 65-66). Seth and Rao (1964) showed that the mean of the distinct units is less efficient than the sample mean in sampling without replacement under the same average sampling cost. Under Warner’s (1965) method of randomized response we compare simple random sampling without replacement and sampling with replacement when only the distinct number of units in the sample are considered.

    Release date: 1995-06-15
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  • 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

  • Articles and reports: 82-003-X19950011661
    Geography: Canada
    Description:

    In 1994, Statistics Canada began data collection for the National Population Health Survey (NPHS), a household survey designed to mesure the health status of Canadians and to expand knowledge of health determinants. The survey is longitudinal, with data being collected on selected panel members every second year. This article focuses on the NPHS sample design ant its rationale. Topics include sample allocation, representativeness, and selection; modifications in Quebec and the territories; and integration of the NPHS with the National Longitudinal Survey of Children. The final section considers some methodological issues to be addresses in future waves of the survey.

    Release date: 1995-07-27

  • 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

  • Articles and reports: 12-001-X199500114409
    Description:

    Classical results in finite population sampling tell us that systematic sampling is the most efficient equal-probability one-per-stratum design for certain kinds of autocorrelated superpopulations, but stratified simple random sampling may be much better than systematic sampling if the superpopulation is a trend with uncorrelated errors. What if the superpopulation consists of a trend plus autocorrelated errors? Intuitively, some sort of “compromise” between the two designs might be better than either. Such compromise designs are constructed in this paper and are shown to be examples of Markov chain designs, a wide class of methods for one-per-stratum selection from a finite population. These designs include as special cases systematic sampling, balanced systematic sampling and stratified simple random sampling with one sampling unit per stratum. First and second-order inclusion probabilities are derived for Markov chain designs, yielding the Horvitz-Thompson estimator and its variance. Efficiency of the Horvitz-Thompson estimator is evaluated using superpopulation models. Numerical examples show that new designs considered here can be more efficient than standard designs for superpopulations consisting of trend plus autocorrelated errors. An example of the implementation of Markov chain designs for the 1992 National Resources Inventory in Alaska is given.

    Release date: 1995-06-15

  • Articles and reports: 12-001-X199500114414
    Description:

    It is well known that the sample mean based on the distinct sample units in simple random sampling with replacement is more efficient than the sample mean based on all units selected including repetitions (Murthy 1967, pp. 65-66). Seth and Rao (1964) showed that the mean of the distinct units is less efficient than the sample mean in sampling without replacement under the same average sampling cost. Under Warner’s (1965) method of randomized response we compare simple random sampling without replacement and sampling with replacement when only the distinct number of units in the sample are considered.

    Release date: 1995-06-15
Reference (2)

Reference (2) ((2 results))

  • Surveys and statistical programs – Documentation: 75F0002M1993019
    Description:

    This paper examines the issues and the procedures designed to maintain a representative sample of the population for the Survey of Labour and Income Dynamics (SLID).

    Release date: 1995-12-30

  • Surveys and statistical programs – Documentation: 75F0002M1994001
    Description:

    This paper describes the Survey of Labour and Income Dynamics (SLID) following rules, which govern who is traced and who is interviewed. It also outlines the conceptual basis for these procedures.

    Release date: 1995-12-30
Date modified: