Analysis

Skip to filters. View results.

What’s new on our website

View results

Filter results by

Search Help
Currently selected filters that can be removed
Remove Remove "Waksberg, J." filter
Clear all

Keyword(s)

Subject

Year of publication

2 facets displayed. 0 facets selected.

Author(s)

5 facets displayed. 1 facets selected.
Sort Help
entries

Results

All (3)

All (3) ((3 results))

  • 1. Geographic-based oversampling in demographic surveys of the United States Archived
    Articles and reports: 12-001-X19970013107
    Description:

    Often one of the key objectives of multi-purpose demographic surveys in the U.S. is to produce estimates for small domains of the population such as race, ethnicity, and income. Geographic-based oversampling is one of the techniques often considered for improving the reliability of the small domain statistics using block or block group information from the Bureau of the Census to identify areas where the small domains are concentrated. This paper reviews the issues involved in oversampling geographical areas in conjunction with household screening to improve the precision of small domain estimates. The results from an empirical evaluation of the variance reduction from geographic-based oversampling are given along with an assessment of the robustness of the sampling efficiency over time as information for stratification becomes out of date. The simultaneous oversampling of several small domains is also discussed.

    Release date: 1997-08-18
  • 2. Using data on interruptions in telephone service as coverage adjustments Archived
    Articles and reports: 12-001-X19960022985
    Description:

    Telephone surveys in the U.S. are subject to coverage bias because about 6 percent of all households do not have a telephone at any particular point in time. The bias resulting from this undercoverage can be important since those who do not have a telephone are generally poorer and have other characteristics that differ from the telephone population. Poststratification and the other usual methods of adjustment often do not fully compensate for this bias. This research examines a procedure for adjusting the survey estimates based on the observation that some households have a telephone for only part of the year, often due to economic circumstances. By collecting data on interruptions in telephone service in the past year, statistical adjustments of the estimates can be made which may reduce the bias in the estimates but which at the same time increase variances because of greater variability in weights. This paper considers a method of adjustment using data collected from a national telephone survey. Estimates of the reductions in bias and the effect on the mean square error of the estimates are computed for a variety of statistics. The results show that when the estimates from the survey are highly related to economic conditions the telephone interruption adjustment procedure can improve the mean square error of the estimates.

    Release date: 1997-01-30
  • 3. Avoiding sequential sampling with random digit dialing Archived
    Articles and reports: 12-001-X199100114524
    Description:

    The Mitofsky-Waksberg procedure is an efficient method for selecting a self-weighting, random digit dialing (RDD) sample of households. The Mitofsky-Waksberg procedure is sequential, requiring a constant number of households be selected from each cluster. In this article, a modified Mitofsky-Waksberg procedure which is not self-weighting or sequential is described. The bias and variance for estimates derived from the modified procedure are investigated. Suggestions on circumstances which might favor the modified procedure over the standard Mitofsky-Waksberg procedure are provided.

    Release date: 1991-06-14
Stats in brief (0)

Stats in brief (0) (0 results)

No content available at this time.

Articles and reports (3)

Articles and reports (3) ((3 results))

  • 1. Geographic-based oversampling in demographic surveys of the United States Archived
    Articles and reports: 12-001-X19970013107
    Description:

    Often one of the key objectives of multi-purpose demographic surveys in the U.S. is to produce estimates for small domains of the population such as race, ethnicity, and income. Geographic-based oversampling is one of the techniques often considered for improving the reliability of the small domain statistics using block or block group information from the Bureau of the Census to identify areas where the small domains are concentrated. This paper reviews the issues involved in oversampling geographical areas in conjunction with household screening to improve the precision of small domain estimates. The results from an empirical evaluation of the variance reduction from geographic-based oversampling are given along with an assessment of the robustness of the sampling efficiency over time as information for stratification becomes out of date. The simultaneous oversampling of several small domains is also discussed.

    Release date: 1997-08-18
  • 2. Using data on interruptions in telephone service as coverage adjustments Archived
    Articles and reports: 12-001-X19960022985
    Description:

    Telephone surveys in the U.S. are subject to coverage bias because about 6 percent of all households do not have a telephone at any particular point in time. The bias resulting from this undercoverage can be important since those who do not have a telephone are generally poorer and have other characteristics that differ from the telephone population. Poststratification and the other usual methods of adjustment often do not fully compensate for this bias. This research examines a procedure for adjusting the survey estimates based on the observation that some households have a telephone for only part of the year, often due to economic circumstances. By collecting data on interruptions in telephone service in the past year, statistical adjustments of the estimates can be made which may reduce the bias in the estimates but which at the same time increase variances because of greater variability in weights. This paper considers a method of adjustment using data collected from a national telephone survey. Estimates of the reductions in bias and the effect on the mean square error of the estimates are computed for a variety of statistics. The results show that when the estimates from the survey are highly related to economic conditions the telephone interruption adjustment procedure can improve the mean square error of the estimates.

    Release date: 1997-01-30
  • 3. Avoiding sequential sampling with random digit dialing Archived
    Articles and reports: 12-001-X199100114524
    Description:

    The Mitofsky-Waksberg procedure is an efficient method for selecting a self-weighting, random digit dialing (RDD) sample of households. The Mitofsky-Waksberg procedure is sequential, requiring a constant number of households be selected from each cluster. In this article, a modified Mitofsky-Waksberg procedure which is not self-weighting or sequential is described. The bias and variance for estimates derived from the modified procedure are investigated. Suggestions on circumstances which might favor the modified procedure over the standard Mitofsky-Waksberg procedure are provided.

    Release date: 1991-06-14
Journals and periodicals (0)

Journals and periodicals (0) (0 results)

No content available at this time.

Report a problem or mistake on this page
Date modified:

Search help

How do I use the filters and the search box?

  • You can initiate a search by entering keywords or selecting filters (e.g., under Subject, Geography, etc.) on the left side of the page.

  • Filters can be used together or in any combination. Each time you select a filter, the results on the page are updated.

  • To start a new search, click on the Clear all button above the search box or deselect each filter.

  • Specified keywords and filters appear above the search box. You can deselect any or all the tags to refine or clear your search.

How do I refine my search?

  • You can enter keywords in the search box. It is not necessary to use “+” or “, “ or “AND”.

  • You can delete some or all of the keywords from your search string.

  • Quotes around keywords limit the search to a specific phrase.

    • For example, “labour force survey” will limit results to products containing this phrase.

  • Use “or” between keywords to obtain results that contain one or more search terms.

    • For example, labour or­ force or survey will limit results to products containing any or all of these words.

How does the search work?

  • This search looks for results that have your query term in the title, description, subject, geography, product number or other information about the product.

    • For example, when searching the term ‘Diseases’, all results with the word ‘Diseases’ in the title, description or tagged the subject appear.

  • The text within an article or publication are not searched. For full text searching of articles, use the site search.

Sort help

How are the results ordered?

The Sort by feature provides three options:

  • By date – sorts results by product release date starting with the most recent.
  • By relevance is only needed or beneficial when you use the search box and submit a search query. Results are ordered by a combination of where the search term appears in the content, e.g., if it appears in the title, it likely means the product is more relevant to your search; how up to date or new the content in the product is; how popular the product is; and other factors.
  • By title – sorts results alphabetically.

Sort help

How are the results ordered?

The Sort by feature provides four options:

  • By date – sorts results by product release date starting with the most recent.
  • By most popular – gives priority to results that are most frequently selected by users, followed by the most recent.
  • By relevance is only needed or beneficial when you use the search box and submit a search query. Results are ordered by a combination of where the search term appears in the content, e.g., if it appears in the title, it likely means the product is more relevant to your search; how up to date or new the content in the product is; how popular the product is; and other factors.
  • By title – sorts results alphabetically.