Political Analysis Dataverse

Political Analysis is the official journal of the Society for Political Methodology. We publish articles that provide original and significant advances in the general area of political methodology, including both quantitative and qualitative methodological approaches.

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581 to 586 of 586 Results

Measuring Issue Preferences: The Problem of Response Instability Dec 20, 2009 Stanley Feldman, 2009, "Measuring Issue Preferences: The Problem of Response Instability", https://doi.org/10.7910/DVN/OMXKJQ, Harvard Dataverse, V1 The problem of response instability in survey measures of policy positions has been studied for over 20 years without any apparent resolution. Two major interpretations remain: Philip Converse's nonattitudes model and a measurement error model. One reason why neither interpretation has as yet been rejected or well supported is that previous analyse...
Estimating Dynamic Models Using Kalman Filtering Dec 20, 2009 Nathaniel Beck, 2009, "Estimating Dynamic Models Using Kalman Filtering", https://doi.org/10.7910/DVN/TRRVNY, Harvard Dataverse, V1 The Kalman filter is useful to estimate dynamic models via maximum likelihood. To do this the model must be set up in state space form. This article shows how various models of interest can be set up in that form. Models considered are Auto Regressive-Moving Average (ARMA) models with measurement error and dynamic factor models. The filter is used...
Analysis of the Dynamics of Political Reasoning: A General-Purpose Computer-Assisted Methodology Dec 20, 2009 Thomas Piazza; Paul M. Sniderman; Philip Tetlcok, 2009, "Analysis of the Dynamics of Political Reasoning: A General-Purpose Computer-Assisted Methodology", https://doi.org/10.7910/DVN/A2IOEH, Harvard Dataverse, V1 The purpose of this article is to present a methodology for better gauging the nature and dynamics of social and political attitudes. Starting from a particular view of attitude assessment, we show how computer-assisted interviewing can help transform the survey interview from a passive to an interactive process. Since the ultimate test of a method...
Individuals Writ Large: An Epilogue on the "Ecological Fallacy" Dec 20, 2009 Lutz Erbring, 2009, "Individuals Writ Large: An Epilogue on the "Ecological Fallacy"", https://doi.org/10.7910/DVN/CAMT5L, Harvard Dataverse, V1 This item requires a subscription to Political Analysis Online.
Systematic Sampling, Temporal Aggregation, and the Study of Political Relationships Dec 20, 2009 John R. Freeman, 2009, "Systematic Sampling, Temporal Aggregation, and the Study of Political Relationships", https://doi.org/10.7910/DVN/6JINVU, Harvard Dataverse, V1 Systematic sampling and temporal aggregation are the practices of sampling a time series at regular intervals and of summing or averaging time series observations over a time interval, respectively. Both practices are a source of statistical error and faulty inference. The problems that systematic sampling and temporal aggregation create for the co...
Estimating Legislators' Preferred Points Dec 10, 2009 John Londregan, 2009, "Estimating Legislators' Preferred Points", https://doi.org/10.7910/DVN/PJBYPC, Harvard Dataverse, V1 This paper shows that agnostic spatial models that simultaneously attempt to estimate legislators’ preferred points and ideological locations for the proposals on which they vote, such as the well-known NOMINATE model of Poole and Rosenthal, are not identified. The problem arises because the agnostic estimators inherit the granularity of the voting...

Measuring Issue Preferences: The Problem of Response Instability

Dec 20, 2009

Stanley Feldman, 2009, "Measuring Issue Preferences: The Problem of Response Instability", https://doi.org/10.7910/DVN/OMXKJQ, Harvard Dataverse, V1

The problem of response instability in survey measures of policy positions has been studied for over 20 years without any apparent resolution. Two major interpretations remain: Philip Converse's nonattitudes model and a measurement error model. One reason why neither interpretation has as yet been rejected or well supported is that previous analyse...

Estimating Dynamic Models Using Kalman Filtering

Dec 20, 2009

Nathaniel Beck, 2009, "Estimating Dynamic Models Using Kalman Filtering", https://doi.org/10.7910/DVN/TRRVNY, Harvard Dataverse, V1

The Kalman filter is useful to estimate dynamic models via maximum likelihood. To do this the model must be set up in state space form. This article shows how various models of interest can be set up in that form. Models considered are Auto Regressive-Moving Average (ARMA) models with measurement error and dynamic factor models. The filter is used...

Analysis of the Dynamics of Political Reasoning: A General-Purpose Computer-Assisted Methodology

Dec 20, 2009

Thomas Piazza; Paul M. Sniderman; Philip Tetlcok, 2009, "Analysis of the Dynamics of Political Reasoning: A General-Purpose Computer-Assisted Methodology", https://doi.org/10.7910/DVN/A2IOEH, Harvard Dataverse, V1

The purpose of this article is to present a methodology for better gauging the nature and dynamics of social and political attitudes. Starting from a particular view of attitude assessment, we show how computer-assisted interviewing can help transform the survey interview from a passive to an interactive process. Since the ultimate test of a method...

Individuals Writ Large: An Epilogue on the "Ecological Fallacy"

Dec 20, 2009

Lutz Erbring, 2009, "Individuals Writ Large: An Epilogue on the "Ecological Fallacy"", https://doi.org/10.7910/DVN/CAMT5L, Harvard Dataverse, V1

This item requires a subscription to Political Analysis Online.

Systematic Sampling, Temporal Aggregation, and the Study of Political Relationships

Dec 20, 2009

John R. Freeman, 2009, "Systematic Sampling, Temporal Aggregation, and the Study of Political Relationships", https://doi.org/10.7910/DVN/6JINVU, Harvard Dataverse, V1

Systematic sampling and temporal aggregation are the practices of sampling a time series at regular intervals and of summing or averaging time series observations over a time interval, respectively. Both practices are a source of statistical error and faulty inference. The problems that systematic sampling and temporal aggregation create for the co...

Estimating Legislators' Preferred Points

Dec 10, 2009

John Londregan, 2009, "Estimating Legislators' Preferred Points", https://doi.org/10.7910/DVN/PJBYPC, Harvard Dataverse, V1

This paper shows that agnostic spatial models that simultaneously attempt to estimate legislators’ preferred points and ideological locations for the proposals on which they vote, such as the well-known NOMINATE model of Poole and Rosenthal, are not identified. The problem arises because the agnostic estimators inherit the granularity of the voting...

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