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Measuring attitudes: multilevel modeling with post-stratification (MrP)

Leemann, Lucas; Wasserfallen, Fabio (2020). Measuring attitudes: multilevel modeling with post-stratification (MrP). In: Curini, Luigi; Franzese, Robert. Sage Handbook of Research Methods in Political Science and International Relations. Los Angeles: Sage Publications, 371-384.

Abstract

Multilevel regression with post-stratification, short MrP, has quickly become a standard model to measure public opinion across e.g. geographical units. This chapter shows how it outperforms other alternatives and illustrates MrP with concrete examples. Readers are walked step-by-step through the construction of a MrP model – code and data are available for replication. We also discuss and illustrate the relevance of context-level factors and how to generate uncertainty estimates of our measurements. The chapter ends with a discussion of extensions and ongoing research projects that promise to further improve MrP.

Additional indexing

Item Type:Book Section, not_refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Political Science
Dewey Decimal Classification:320 Political science
Language:English
Date:May 2020
Deposited On:15 Jan 2020 08:39
Last Modified:30 May 2022 10:58
Publisher:Sage Publications
ISBN:978-1-52645993-0
Additional Information:Kap. 21
OA Status:Green
Related URLs:https://us.sagepub.com/en-us/nam/the-sage-handbook-of-research-methods-in-political-science-and-international-relations/book262875#contents (Publisher)
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