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A statistical methodology for analyzing data from a complex survey: the first National Health and Nutrition Examination Survey.

John Richard Landis, Lepkowski Jm, Eklund Sa, Stehouwer Sa

Open publisher page 132 citations

Abstract

This report presents an approach to analyzing data from a survey with a complex sample design. The data used to illustrate the approach are from the first [U.S.] National Health and Nutrition Examination Survey a national probability sample survey that was conducted in 1971-74 with an augmentation survey in 1974-75. Data are examined using regression techniques analysis of variance and categorical data analysis. (EXCERPT)

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What this paper is about

This report presents an approach to analyzing data from a survey with a complex sample design. The data used to illustrate the approach are from the first [U.S.] National Health and Nutrition Examination Survey a national probability sample survey that was conducted in 1971-74 with an augmentation survey in 1974-75. Data are examined using regression techniques analysis of variance and categorical data analysis. (EXCERPT)

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OpenAlex reports 132 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This report presents an approach to analyzing data from a survey with a complex sample design. The data used to illustrate the approach are from the first [U.S.] National Health and Nutrition Examination Survey a national probability sample survey that was conducted in 1971-74 with an augmentation survey in 1974-75. Data are examined using regression techniques analysis of variance and categorical data analysis. (EXCERPT)

Key concepts: National Health and Nutrition Examination Survey, Categorical variable, Survey sampling, Survey data collection, Sample (material), Survey methodology, Variance (accounting), Survey research

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A statistical methodology for analyzing data from a complex survey: the first National Health and Nutrition Examination Survey. — Research Paper | ScholarLens