<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In this article, we review current state-of-the art software enabling statisticians to apply design-based, model-based, and so-called “hybrid” approaches to the analysis of complex sample survey data. We present brief overviews of the similarities and differences between these alternative approaches, and then focus on software tools that are presently available for implementing each approach. We conclude with a summary of directions for future software development in this area.</p></abstract>

In this article, we review current state-of-the art software enabling statisticians to apply design-based, model-based, and so-called “hybrid” approaches to the analysis of complex sample survey data. We present brief overviews of the similarities and differences between these alternative approaches, and then focus on software tools that are presently available for implementing each approach. We conclude with a summary of directions for future software development in this area.

Accounting for Complex Sampling in Survey Estimation: A Review of Current Software Tools

Journal of Official Statistics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

In this article, we review current state-of-the art software enabling statisticians to apply design-based, model-based, and so-called “hybrid” approaches to...

Accounting for Complex Sampling in Survey Estimation: A Review of Current Software Tools

Online veröffentlicht: 01. Sept. 2018

Seitenbereich: 721 - 752

Eingereicht: 01. Juli 2017

Akzeptiert: 01. Feb. 2018

DOI: https://doi.org/10.2478/jos-2018-0034

Schlüsselwörter
Complex sample survey data, statistical software, design-based analysis, model-based analysis, multilevel modeling

© 2018 Brady T. West et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Accounting for Complex Sampling in Survey Estimation: A Review of Current Software Tools

Online veröffentlicht: 01. Sept. 2018

Seitenbereich: 721 - 752

Eingereicht: 01. Juli 2017

Akzeptiert: 01. Feb. 2018

DOI: https://doi.org/10.2478/jos-2018-0034

SchlüsselwörterComplex sample survey data, statistical software, design-based analysis, model-based analysis, multilevel modeling

© 2018 Brady T. West et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Complex sample survey data, statistical software, design-based analysis, model-based analysis, multilevel modeling