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Introduction to the design and analysis of complex survey data

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  • Skinner, Chris J.
  • Wakefield, Jon

Abstract

We give a brief overview of common sampling designs used in a survey setting, and introduce the principal inferential paradigms under which data from complex surveys may be analyzed. In particular, we distinguish between design-based, model-based and model-assisted approaches. Simple examples highlight the key differences between the approaches. We discuss the interplay between inferential approaches and targets of inference and the important issue of variance estimation.

Suggested Citation

  • Skinner, Chris J. & Wakefield, Jon, 2017. "Introduction to the design and analysis of complex survey data," LSE Research Online Documents on Economics 76991, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:76991
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    File URL: http://eprints.lse.ac.uk/76991/
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    References listed on IDEAS

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    1. Lilli Japec & Frauke Kreuter & Marcus Berg & Paul Biemer & Paul Decker & Cliff Lampe & Julia Lane & Cathy O’Neil & Abe Usher, "undated". "Big Data in Survey Research: AAPOR Task Force Report," Mathematica Policy Research Reports c57e7c039f6a4db982b26c6fe, Mathematica Policy Research.
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    Cited by:

    1. Tymon S{l}oczy'nski & S. Derya Uysal & Jeffrey M. Wooldridge, 2022. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," Papers 2204.07672, arXiv.org, revised Feb 2024.
    2. Jonathan Wakefield & Taylor Okonek & Jon Pedersen, 2020. "Small Area Estimation for Disease Prevalence Mapping," International Statistical Review, International Statistical Institute, vol. 88(2), pages 398-418, August.
    3. Tymon Sloczynski & S. Derya Uysal & Jeffrey M. Wooldridge & Derya Uysal, 2022. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," CESifo Working Paper Series 9715, CESifo.
    4. Taekyoung Kim & Sang D Choi & Shuping Xiong, 2020. "Epidemiology of fall and its socioeconomic risk factors in community-dwelling Korean elderly," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-14, June.
    5. Daily, Shay M. & Dyer, Angela M. & Lilly, Christa L. & Sarkees, Emily A. & Bias, Thomas K., 2022. "Using adverse childhood experiences to explore the usefulness of community health needs assessments to monitor complex determinants of health at the local level," Evaluation and Program Planning, Elsevier, vol. 91(C).
    6. Martina Patone & Li‐Chun Zhang, 2021. "On Two Existing Approaches to Statistical Analysis of Social Media Data," International Statistical Review, International Statistical Institute, vol. 89(1), pages 54-71, April.

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    More about this item

    Keywords

    Design-based inference; model-assisted inference; model-based inference; weights; variance estimation.;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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