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  2. Coverage error - Wikipedia

    en.wikipedia.org/wiki/Coverage_error

    Often, the methods employed are unique to specific agencies and organizations. For example, the United States Census Bureau has developed models using the U.S. Postal Service's Delivery Sequence File, IRS 1040 address data, commercially available foreclosure counts, and other data to develop models capable of predicting undercount by census block.

  3. Administrative error - Wikipedia

    en.wikipedia.org/wiki/Administrative_error

    Download as PDF; Printable version; In other projects ... administration or execution of a survey. Such errors can be caused by carelessness, confusion, neglect ...

  4. Data editing - Wikipedia

    en.wikipedia.org/wiki/Data_editing

    Data editing is defined as the process involving the review and adjustment of collected survey data. [1] Data editing helps define guidelines that will reduce potential bias and ensure consistent estimates leading to a clear analysis of the data set by correct inconsistent data using the methods later in this article. [ 2 ]

  5. Total survey error - Wikipedia

    en.wikipedia.org/wiki/Total_survey_error

    Nonsampling error, which occurs in surveys and censuses alike, is the sum of all other errors, including errors in frame construction, sample selection, data collection, data processing and estimation methods.

  6. Questionnaire construction - Wikipedia

    en.wikipedia.org/wiki/Questionnaire_construction

    The research objective(s) and frame-of-reference should be defined beforehand, including the questionnaire's context of time, budget, manpower, intrusion and privacy. The types of questions (e.g.: closed, multiple-choice, open) should fit the data analysis techniques available and the goals of the survey.

  7. Observational error - Wikipedia

    en.wikipedia.org/wiki/Observational_error

    In survey-type situations, these errors can be mistakes in the collection of data, including both the incorrect recording of a response and the correct recording of a respondent's inaccurate response.

  8. Brady West - Wikipedia

    en.wikipedia.org/wiki/Brady_West

    He is the lead author of a book titled Linear Mixed Models: A Practical Guide using Statistical Software, Third Edition, which compares different statistical software packages in terms of their mixed-effects modeling procedures, and is also the co-author of Applied Survey Data Analysis, among other books.

  9. Technique for human error-rate prediction - Wikipedia

    en.wikipedia.org/wiki/Technique_for_human_error...

    THERP is a first-generation methodology, which means that its procedures follow the way conventional reliability analysis models a machine. [3] The technique was developed in the Sandia Laboratories for the US Nuclear Regulatory Commission. [4]