Using hierarchical linear modeling to assess the effects of female political role models on young women's anticipated political engagement /

In "See Hillary Clinton, Nancy Pelosi and Sarah Palin Run?" we extend the work of David Campbell and Christina Wolbrecht to assess whether young women see themselves as more likely to engage in political activities in response to the presence of national-level female role models. One of th...

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Bibliographic Details
Main Authors: Mariani, Mack D. (Author), Marshall, Bryan W. (Author), Mathews-Schultz, Lanethea (Author)
Format: eBook
Language:English
Published: London : SAGE Publications Ltd, 2019.
Series:SAGE Research Methods. Cases.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:In "See Hillary Clinton, Nancy Pelosi and Sarah Palin Run?" we extend the work of David Campbell and Christina Wolbrecht to assess whether young women see themselves as more likely to engage in political activities in response to the presence of national-level female role models. One of the key methodological challenges facing researchers analyzing whether female candidates and officeholders have a role-model effect on individuals is the fact that the presence of women as candidates and officeholders constitutes a state-level or district-level variable rather than an individual-level variable that is independent across cases. In this case study, we describe how we incorporated hierarchical linear modeling regression to address the challenge that mixed-level analysis poses to the study of the role-model effect. A review of our research process illustrates why it is important for scholars to be transparent about their data and methods.
Physical Description:1 online resource.
Bibliography:Includes bibliographical references and index.
ISBN:9781526467126
1526467127