The Experts below are selected from a list of 288 Experts worldwide ranked by ideXlab platform
James N. Druckman - One of the best experts on this subject based on the ideXlab platform.
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the polls review Public Opinion Research and support for the iraq war
Public Opinion Quarterly, 2007Co-Authors: Adam J. Berinsky, James N. DruckmanAbstract:Professors Peter Feaver, Christopher Gelpi, and Jason Reifler's theory of the determinants of Public support for war has received a great deal of attention among academics, journalists, and policymakers. They argue that support for war hinges on initial support for military action and the belief in the success of the war. In this review, we take a critical and constructive view of their work, focusing on methodological concerns. We discuss the dependent variable used by the authors—individual casualty tolerance—and argue that it is an insufficient measure of war support. We also make the case that their independent variables of interest—initial support for war and evalua- tion of war success—may, in fact, be best understood as indicators of latent support for the war more generally. Finally, we discuss the need for more Research into the determinants of support for war, focusing on core values and elite rhetoric as potential variables for continued and future study.
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The Polls—Review Public Opinion Research and Support for the Iraq War
Public Opinion Quarterly, 2007Co-Authors: Adam J. Berinsky, James N. DruckmanAbstract:Professors Peter Feaver, Christopher Gelpi, and Jason Reifler's theory of the determinants of Public support for war has received a great deal of attention among academics, journalists, and policymakers. They argue that support for war hinges on initial support for military action and the belief in the success of the war. In this review, we take a critical and constructive view of their work, focusing on methodological concerns. We discuss the dependent variable used by the authors—individual casualty tolerance—and argue that it is an insufficient measure of war support. We also make the case that their independent variables of interest—initial support for war and evalua- tion of war success—may, in fact, be best understood as indicators of latent support for the war more generally. Finally, we discuss the need for more Research into the determinants of support for war, focusing on core values and elite rhetoric as potential variables for continued and future study.
Adam J. Berinsky - One of the best experts on this subject based on the ideXlab platform.
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the polls review Public Opinion Research and support for the iraq war
Public Opinion Quarterly, 2007Co-Authors: Adam J. Berinsky, James N. DruckmanAbstract:Professors Peter Feaver, Christopher Gelpi, and Jason Reifler's theory of the determinants of Public support for war has received a great deal of attention among academics, journalists, and policymakers. They argue that support for war hinges on initial support for military action and the belief in the success of the war. In this review, we take a critical and constructive view of their work, focusing on methodological concerns. We discuss the dependent variable used by the authors—individual casualty tolerance—and argue that it is an insufficient measure of war support. We also make the case that their independent variables of interest—initial support for war and evalua- tion of war success—may, in fact, be best understood as indicators of latent support for the war more generally. Finally, we discuss the need for more Research into the determinants of support for war, focusing on core values and elite rhetoric as potential variables for continued and future study.
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The Polls—Review Public Opinion Research and Support for the Iraq War
Public Opinion Quarterly, 2007Co-Authors: Adam J. Berinsky, James N. DruckmanAbstract:Professors Peter Feaver, Christopher Gelpi, and Jason Reifler's theory of the determinants of Public support for war has received a great deal of attention among academics, journalists, and policymakers. They argue that support for war hinges on initial support for military action and the belief in the success of the war. In this review, we take a critical and constructive view of their work, focusing on methodological concerns. We discuss the dependent variable used by the authors—individual casualty tolerance—and argue that it is an insufficient measure of war support. We also make the case that their independent variables of interest—initial support for war and evalua- tion of war success—may, in fact, be best understood as indicators of latent support for the war more generally. Finally, we discuss the need for more Research into the determinants of support for war, focusing on core values and elite rhetoric as potential variables for continued and future study.
Manfred Schmitt - One of the best experts on this subject based on the ideXlab platform.
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measuring traits and states in Public Opinion Research a latent state trait analysis of political efficacy
International Journal of Public Opinion Research, 2014Co-Authors: Frank M. Schneider, Lukas Otto, Daniel Alings, Manfred SchmittAbstract:Latent state–trait theory (LSTT) considers the fact that measurement does not take place in a situational vacuum. LSTT decomposes any observed variable into a latent state component and a measurement error component, and any latent state into a latent trait component and a latent state residual representing situational influence and/or interactional influences. Furthermore, it provides more precise reliability estimates than common coefficients. This article introduces the basic concepts of LSTT, discusses its usefulness for Public Opinion Research, and applies LST models to panel data on political efficacy from the 2009 German Longitudinal Election Study. The findings show that internal efficacy is a rather trait-like disposition and external efficacy is significantly due to situational and/or interactional influences.
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Measuring Traits and States in Public Opinion Research: A Latent State–Trait Analysis of Political Efficacy
International Journal of Public Opinion Research, 2014Co-Authors: Frank M. Schneider, Lukas Otto, Daniel Alings, Manfred SchmittAbstract:Latent state–trait theory (LSTT) considers the fact that measurement does not take place in a situational vacuum. LSTT decomposes any observed variable into a latent state component and a measurement error component, and any latent state into a latent trait component and a latent state residual representing situational influence and/or interactional influences. Furthermore, it provides more precise reliability estimates than common coefficients. This article introduces the basic concepts of LSTT, discusses its usefulness for Public Opinion Research, and applies LST models to panel data on political efficacy from the 2009 German Longitudinal Election Study. The findings show that internal efficacy is a rather trait-like disposition and external efficacy is significantly due to situational and/or interactional influences.
Casey Langer Tesfaye - One of the best experts on this subject based on the ideXlab platform.
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Social Media in Public Opinion Research Executive Summary of the Aapor Task Force on Emerging Technologies in Public Opinion Research
Public Opinion Quarterly, 2014Co-Authors: Joseph Murphy, Michael W. Link, Jennifer Hunter Childs, Casey Langer Tesfaye, Elizabeth Dean, Michael J. Stern, Josh Pasek, Jon Cohen, Mario Callegaro, Paul HarwoodAbstract:Public Opinion Research is entering a new era, one in which traditional survey Research may play a less dominant role. The proliferation of new technologies, such as mobile devices and social-media platforms, is changing the societal landscape across which Public Opinion Researchers operate. As these technologies expand, so does access to users� thoughts, feelings, and actions expressed instantaneously, organically, and often Publicly across the platforms they use. The ways in which people both access and share information about Opinions, attitudes, and behaviors have gone through a greater transformation in the past decade than perhaps in any previous point in history, and this trend appears likely to continue. The ubiquity of social media and the Opinions users express on social media provide Researchers with new data-collection tools and alternative sources of qualitative and quantitative information to augment or, in some cases, provide alternatives to more traditional data-collection methods. The reasons to consider social media in Public Opinion and survey Research are no different than those of any alternative method. We are ultimately concerned with answering Research questions, and this often requires the collection of data in one form or another. This may involve the analysis of data to obtain qualitative insights or quantitative estimates. The quality of data and the ability to help accurately answer Research questions are of paramount concern. Other practical considerations include the cost efficiency of the method and the speed at which the data can be collected, analyzed, and disseminated. If the combination of data quality, cost efficiency, and timeliness required by a study can best be achieved through the use of social media, then there is reason to consider these methods for Research. An additional reason to consider social media in Public Opinion and survey Research is its explosion in popularity over the past several years. �
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Mobile Technologies for Conducting, Augmenting and Potentially Replacing Surveys Executive Summary of the AAPOR Task Force on Emerging Technologies in Public Opinion Research
Public Opinion Quarterly, 2014Co-Authors: Michael W. Link, Joseph Murphy, Jennifer Hunter Childs, Michael F. Schober, Trent D. Buskirk, Casey Langer TesfayeAbstract:The proliferation of new technologies, such as mobile devices and social media platforms, has the potential to change the face of Public Opinion Research. The ways in which people both access and share information about Opinions, attitudes, and behaviors continue to evolve at a rapid pace. The widespread adoption of smartphones and ubiquity of social media are interconnected trends which may provide Researchers with new data collection tools and alternative sources of information to augment or, in some cases, provide alternatives to more traditional data-collection methods. However, this brave new world is not without its share of issues and pitfalls � technological, statistical, methodological, and ethical. As the leading association of Public Opinion Research professionals, AAPOR is uniquely situated to examine and assess the potential impact of these �emerging technologies� on the broader discipline and industry of Opinion Research. In September 2012, AAPOR Council approved the formation of the Emerging Technologies Task Force with the goal of focusing on two critical areas: smartphones as data collection vehicles and social media as platform and information source. The purposes of the task force are to: define and delineate the scope and landscape of each area; describe the potential impact in terms of quality, efficiency, timeliness and analytic reach; discuss opportunities and challenges based on available Research; delineate some of the key legal and ethical considerations; and detail the gaps in our understanding and propose avenues of future Research. This report examines the potential impact of mobile technologies on Public Opinion Research � as a vehicle for facilitating some aspect of the survey-Research process (i.e., recruitment, questionnaire administration, reducing burden, etc.) and/or augmenting or replacing traditional survey-Research methods (i.e., location data, visual data, and the like).1 Use of Mobile Devices The emergence of mobile devices -- with a host of integrated features including voice, photography, video, �
Frank M. Schneider - One of the best experts on this subject based on the ideXlab platform.
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measuring traits and states in Public Opinion Research a latent state trait analysis of political efficacy
International Journal of Public Opinion Research, 2014Co-Authors: Frank M. Schneider, Lukas Otto, Daniel Alings, Manfred SchmittAbstract:Latent state–trait theory (LSTT) considers the fact that measurement does not take place in a situational vacuum. LSTT decomposes any observed variable into a latent state component and a measurement error component, and any latent state into a latent trait component and a latent state residual representing situational influence and/or interactional influences. Furthermore, it provides more precise reliability estimates than common coefficients. This article introduces the basic concepts of LSTT, discusses its usefulness for Public Opinion Research, and applies LST models to panel data on political efficacy from the 2009 German Longitudinal Election Study. The findings show that internal efficacy is a rather trait-like disposition and external efficacy is significantly due to situational and/or interactional influences.
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Measuring Traits and States in Public Opinion Research: A Latent State–Trait Analysis of Political Efficacy
International Journal of Public Opinion Research, 2014Co-Authors: Frank M. Schneider, Lukas Otto, Daniel Alings, Manfred SchmittAbstract:Latent state–trait theory (LSTT) considers the fact that measurement does not take place in a situational vacuum. LSTT decomposes any observed variable into a latent state component and a measurement error component, and any latent state into a latent trait component and a latent state residual representing situational influence and/or interactional influences. Furthermore, it provides more precise reliability estimates than common coefficients. This article introduces the basic concepts of LSTT, discusses its usefulness for Public Opinion Research, and applies LST models to panel data on political efficacy from the 2009 German Longitudinal Election Study. The findings show that internal efficacy is a rather trait-like disposition and external efficacy is significantly due to situational and/or interactional influences.
