Measuring Issue Preferences: The Problem of Response Instability

1989 ◽  
Vol 1 ◽  
pp. 25-60 ◽  
Author(s):  
Stanley Feldman
Keyword(s):  
Public Opinion ◽  
Measurement Error ◽  
Panel Data ◽  
Goodness Of Fit ◽  
Error Variance ◽  
Sufficient Information ◽  
Measurement Error Model ◽  
Policy Positions ◽  
Measurement Models ◽  
Instability Problem

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 analyses have depended on three-wave panel data that do not contain sufficient information to assess the goodness-of-fit of the models and also provide unreliable estimates of the error variance for the issue questions. Using five-wave panel data, this article first re-estimates the measurement models for the issue positions to assess goodness-of-fit and then estimates models of response instability to help establish its determinants. Evidence consistent with both interpretations of response instability is found. It thus appears as if neither model can adequately deal with the empirical characteristics of opinion questions in panel data. In the conclusion, a third interpretation of the response instability problem is offered that better accounts for the empirical findings and is more consistent with our understanding of public opinion.

scholarly journals How measurement error affects inference in linear regression

2020 ◽  
Author(s):  
Erik Meijer ◽  
Edward Oczkowski ◽  
Tom Wansbeek
Keyword(s):  
Measurement Error ◽  
Panel Data ◽  
Linear Regression ◽  
Error Variance ◽  
Standard Errors ◽  
Test Statistics ◽  
Wine Quality ◽  
Measurement Error Variance ◽  
Infeasible Estimator ◽  
Data Context

Abstract Measurement error biases OLS results. When the measurement error variance in absolute or relative (reliability) form is known, adjustment is simple. We link the (known) estimators for these cases to GMM theory and provide simple derivations of their standard errors. Our focus is on the test statistics. We show monotonic relations between the t-statistics and $$R^2$$ R 2 s of the (infeasible) estimator if there was no measurement error, the inconsistent OLS estimator, and the consistent estimator that corrects for measurement error and show the relation between the t-value and the magnitude of the assumed measurement error variance or reliability. We also discuss how standard errors can be computed when the measurement error variance or reliability is estimated, rather than known, and we indicate how the estimators generalize to the panel data context, where we have to deal with dependency among observations. By way of illustration, we estimate a hedonic wine price function for different values of the reliability of the proxy used for the wine quality variable.

Structural Model of Service Quality Factors Affecting Loyalty Sustainability

2020 ◽  
Vol 11 (2) ◽  
Author(s):  
Eman Al-erqi ◽  
◽  
Mohd Lizam Mohd Diah ◽  
Najmaddin Abo Mosali ◽  
◽  
...  
Keyword(s):  
International Students ◽  
Service Quality ◽  
Goodness Of Fit ◽  
Structural Model ◽  
Quality Factors ◽  
Factors Affecting ◽  
Measurement Models ◽  
Confirmatory Factor ◽  
The University ◽  
The Impact

This study seeks to address the impact of service quality affecting international student's satisfaction towards loyalty tothe Universiti Tun Hussein Onn Malaysia(UTHM). The aim of thestudy is to develop relationship between service quality factor and loyalty to the university from the international students’ perspectives. The study adopted quantitative approach where data was collected through questionnaire survey and analysed statistically. A total of 246 responses were received and found to be valid. The model was developed and analysed using AMOS-SEM software. Confirmatory factor analysis (CFA) function of the software was to assessed the measurement models and found that all the models achieved goodness of fit. Then path analysis function was used to assessed structural model and found that service qualityfactors have a significant effect on the students’ satisfaction and thus affecting the loyaltyto the university. Hopefully the outcome form this study will benefit the university in providing services especially to the international students.

How government-controlled media shifts policy attitudes through framing

2021 ◽  
pp. 1-16
Author(s):  
Jennifer Pan ◽  
Zijie Shao ◽  
Yiqing Xu
Keyword(s):  
Foreign Policy ◽  
Public Opinion ◽  
Authoritarian Regimes ◽  
Policy Positions ◽  
Policy Issues ◽  
Composite Measures ◽  
Policy Attitudes ◽  
Tv News

Abstract Research shows that government-controlled media is an effective tool for authoritarian regimes to shape public opinion. Does government-controlled media remain effective when it is required to support changes in positions that autocrats take on issues? Existing theories do not provide a clear answer to this question, but we often observe authoritarian governments using government media to frame policies in new ways when significant changes in policy positions are required. By conducting an experiment that exposes respondents to government-controlled media—in the form of TV news segments—on issues where the regime substantially changed its policy positions, we find that by framing the same issue differently, government-controlled media moves respondents to adopt policy positions closer to the ones espoused by the regime regardless of individual predisposition. This result holds for domestic and foreign policy issues, for direct and composite measures of attitudes, and persists up to 48 hours after exposure.

scholarly journals Spatiotemporal Econometrics Models for Old Age Mortality in Europe

Mathematics ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1061
Author(s):  
Patricia Carracedo ◽  
Ana Debón
Keyword(s):  
Panel Data ◽  
Goodness Of Fit ◽  
Population Aging ◽  
European Population ◽  
Data Models ◽  
European Countries ◽  
Mortality Data ◽  
Panel Data Models ◽  
Estimation Of Parameters ◽  
Advantages And Disadvantages

In the past decade, panel data models using time-series observations of several geographical units have become popular due to the availability of software able to implement them. The aim of this study is an updated comparison of estimation techniques between the implementations of spatiotemporal panel data models across MATLAB and R softwares in order to fit real mortality data. The case study used concerns the male and female mortality of the aged population of European countries. Mortality is quantified with the Comparative Mortality Figure, which is the most suitable statistic for comparing mortality by sex over space when detailed specific mortality is available for each studied population. The spatial dependence between the 26 European countries and their neighbors during 1995–2012 was confirmed through the Global Moran Index and the spatiotemporal panel data models. For this reason, it can be said that mortality in European population aging not only depends on differences in the health systems, which are subject to national discretion but also on supra-national developments. Finally, we conclude that although both programs seem similar, there are some differences in the estimation of parameters and goodness of fit measures being more reliable MATLAB. These differences have been justified by detailing the advantages and disadvantages of using each of them.

scholarly journals ON THE UNIFORM CONVERGENCE OF DECONVOLUTION ESTIMATORS FROM REPEATED MEASUREMENTS

2021 ◽  
pp. 1-22
Author(s):  
Daisuke Kurisu ◽  
Taisuke Otsu
Keyword(s):  
Multivariate Analysis ◽  
Measurement Error ◽  
Uniform Convergence ◽  
Measurement Errors ◽  
Convergence Rates ◽  
Free Variable ◽  
Error Model ◽  
Repeated Measurements ◽  
Empirical Characteristic Function ◽  
Measurement Error Model

This paper studies the uniform convergence rates of Li and Vuong’s (1998, Journal of Multivariate Analysis 65, 139–165; hereafter LV) nonparametric deconvolution estimator and its regularized version by Comte and Kappus (2015, Journal of Multivariate Analysis 140, 31–46) for the classical measurement error model, where repeated noisy measurements on the error-free variable of interest are available. In contrast to LV, our assumptions allow unbounded supports for the error-free variable and measurement errors. Compared to Bonhomme and Robin (2010, Review of Economic Studies 77, 491–533) specialized to the measurement error model, our assumptions do not require existence of the moment generating functions of the square and product of repeated measurements. Furthermore, by utilizing a maximal inequality for the multivariate normalized empirical characteristic function process, we derive uniform convergence rates that are faster than the ones derived in these papers under such weaker conditions.

The Estimation of Measurement Error in Panel Data

1970 ◽  
Vol 35 (1) ◽  
pp. 112 ◽  
Author(s):  
David E. Wiley ◽  
James A. Wiley
Keyword(s):  
Measurement Error ◽  
Panel Data

scholarly journals Quasi Score is more Efficient than Corrected Score in a Polynomial Measurement Error Model

Metrika ◽  
2006 ◽  
Vol 65 (3) ◽  
pp. 275-295 ◽  
Author(s):  
Sergiy Shklyar ◽  
Hans Schneeweiss ◽  
Alexander Kukush
Keyword(s):  
Measurement Error ◽  
Error Model ◽  
Measurement Error Model ◽  
Corrected Score
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