scholarly journals Public Opinion in Policy Studies: Lessons from the Logic of Structural Equation Modeling

2019 ◽  
Author(s):  
Nate Breznau
Keyword(s):  
Public Opinion ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Context Effects ◽  
General Social Survey ◽  
Model Fitting ◽  
The United States ◽  
Model Specification ◽  
Equation Modeling ◽  
Policy Studies

Policy studies scholars regularly investigate linkages between public opinion and policy. The use of public opinion as a variable in empirical research poses special challenges. In this article I suggest that the logic and methods inherent in the art of structural equation modeling provide opportunities to overcome some of these challenges. I describe this type of logic as it pertains to measurement error, context effects and endogeneity. Using General Social Survey data for the United States and taking thermostatic feedback models as an example, I demonstrate why it is important for policy scholars to attend to (a) measurement modeling and cross-level isomorphism, (b) shocks that might bias survey response patterns and (c) endogeneity implied by the theoretically reciprocal nature of opinion and policy feedback. These examples come with discussions of why scholars should pay attention to model specification so that theory and empirics are in unison and how to perform model fitting and testing to better develop theories and models of policy processes.

Study on the Integrated Method of SEM and DEMATEL

2014 ◽  
Vol 926-930 ◽  
pp. 3722-3727
Author(s):  
Wei Meng
Keyword(s):  
Decision Making ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Model Fitting ◽  
Assessment Model ◽  
Model Specification ◽  
Equation Modeling ◽  
Model Assessment ◽  
Integrated Method ◽  
Model Modification

This paper compares Structural Equation Modeling and Decision Making Trial and Evaluation Laboratory. Structural Equation Modeling and Decision Making Trial and Evaluation Laboratory are all methods to study factors’ structure problem. Some steps of the two methods can completely replace each other and complement each other. This paper puts forward an integrated method of Structural Equation Modeling and Decision Making Trial and Evaluation Laboratory that includes competing model specification, model fitting, model assessment, model modification and result explain.

scholarly journals Psychological Mechanisms Linking County-Level Income Inequality to Happiness in China

2018 ◽  
Vol 15 (12) ◽  
pp. 2667
Author(s):  
Jiaoli Cai ◽  
Li Zhang ◽  
Yulin Zhao ◽  
Peter Coyte
Keyword(s):  
Structural Equation Modeling ◽  
Income Inequality ◽  
Structural Equation ◽  
General Social Survey ◽  
Negative Relationship ◽  
Living Standards ◽  
Equation Modeling ◽  
County Level ◽  
Psychological Mechanisms ◽  
The Impact

Background In China, income levels and living standards have improved significantly, but many Chinese citizens still do not feel any happier. This phenomenon may be attributed to increased income inequality. Methods Using data from the 2013 Chinese General Social Survey (CGSS), we employed multilevel structural equation modeling (MSEM) to investigate the impact of county-level income inequality on individual-level happiness in China and multilevel mediation analysis with structural equation modeling (MMSEM) to explore the mechanisms through which income inequality impacted happiness. Results A negative relationship between income inequality and happiness was found. The negative association between them was explained by two psychological mechanisms, i.e., fairness and trust. The findings explained a “Chinese puzzle,” i.e., why people do not feel happier despite improved income and living standards. Conclusions Our findings may provide a reference for policy makers to implement policies designed to improve individual happiness. What is important now is to reduce income inequality, and to potentially improve perceptions of fairness and trust in China.

scholarly journals Influences on Attitudes Regarding Potential COVID-19 Vaccination in the United States

Vaccines ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 582 ◽  
Author(s):  
Kendall Pogue ◽  
Jamie L. Jensen ◽  
Carter K. Stancil ◽  
Daniel G. Ferguson ◽  
Savannah J. Hughes ◽  
...  
Keyword(s):  
United States ◽  
Structural Equation Modeling ◽  
Side Effects ◽  
Structural Equation ◽  
The United States ◽  
Equation Modeling ◽  
Vaccine Acceptance ◽  
The World ◽  
Short And Long Term

The COVID-19 pandemic continues to ravage the world, with the United States being highly affected. A vaccine provides the best hope for a permanent solution to controlling the pandemic. However, to be effective, a vaccine must be accepted and used by a large majority of the population. The aim of this study was to understand the attitudes towards and obstacles facing vaccination with a potential COVID-19 vaccine. To measure these attitudes a survey was administered to 316 respondents across the United States by a survey corporation. Structural equation modeling was used to analyze the relationships of several factors with attitudes toward potential COVID-19 vaccination. Prior vaccine usage and attitudes predicted attitudes towards COVID-19 vaccination. Assessment of the severity of COVID-19 for the United States was also predictive. Approximately 68% of all respondents were supportive of being vaccinated for COVID-19, but side effects, efficacy and length of testing remained concerns. Longer testing, increased efficacy and development in the United States were significantly associated with increased vaccine acceptance. Messages promoting COVID-19 vaccination should seek to alleviate the concerns of those who are already vaccine-hesitant. Messaging directed at the benefits of vaccination for the United States as a country would address the second predictive factor. Enough time should be taken to allay concerns about both short- and long-term side effects before a vaccine is released.

Evaluating the Construct Validity of Ryff’s Scales of Psychological Well-Being Using Exploratory Structural Equation Modeling

2016 ◽  
Vol 35 (6) ◽  
pp. 633-638 ◽  
Author(s):  
Hsien-Yuan Hsu ◽  
Tze-Li Hsu ◽  
KoFan Lee ◽  
Lori Wolff
Keyword(s):  
Structural Equation Modeling ◽  
Construct Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Well Being ◽  
The United States ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
Psychological Well Being ◽  
Measurement Models

The purpose of this study was to evaluate the construct validity of Ryff’s Scales of Psychological Well-Being (SPWB) using exploratory structural equation modeling (ESEM). The data were drawn from the national survey of Midlife in the United States conducted during 1994 and 1995. Measurement models assuming different number of factors (1-6 factors) and considering the effect of negatively wording items were specified and compared to determine optimal number of underlying factors. The discriminant validity was assessed following Farrell’s suggestions. The results showed the discriminant validity was questionable due to five indicators with considerable cross-loadings.

scholarly journals Nurses’ Patient-Centeredness and Perceptions of Care among Medicaid Patients in Hospital Obstetrical Units

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Stephen J. Aragon ◽  
Liana J. Richardson ◽  
Wanda Lawrence ◽  
Sabina B. Gesell
Keyword(s):  
Structural Equation Modeling ◽  
Standard Deviation ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
The United States ◽  
Equation Modeling ◽  
Patient Centeredness ◽  
Patients Satisfaction ◽  
Random Samples ◽  
Multigroup Structural Equation Modeling

Objective. This study examined to what degree patient-centeredness—measured as an underlying ability of obstetrical nurses—influenced Medicaid patients’ satisfaction with care in hospital obstetrical units.Design. Multigroup structural equation modeling design, using three cross-sectional random samples (n=300each) from the 2003 Press Ganey National Inpatient Database.Setting. Self-administered mail surveys.Participants. 900 Medicaid recipients recently discharged from inpatient hospital obstetrical units across the United States.Methods. Multigroup structural equation modeling was used to test the goodness of fit between a hypothesized model based on the Primary Provider Theory and patients’ ratings of nurses.Results. The model fitted the data well, was stable across three random samples, and was sustained when compared to a competing model. The patient-centeredness of nurses significantly influenced overall patient satisfaction and explained 66% of its variability. When nurses’ patient-centeredness increased by one standard deviation, patients’ satisfaction increased by 0.80 standard deviation.Conclusion. This study offers a novel approach to the measurement of the patient-centeredness of nurses and a paradigm for increasing it and its influence on Medicaid patients’ satisfaction in hospital obstetrical units.

scholarly journals The use and misuse of structural equation modeling in management research

2014 ◽  
Vol 11 (1) ◽  
pp. 47-81 ◽  
Author(s):  
Nebojsa S. Davcik
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Conceptual Knowledge ◽  
Goodness Of Fit ◽  
Measurement Model ◽  
Model Specification ◽  
Equation Modeling ◽  
Research Practice ◽  
Management Research ◽  
Content Type

Purpose – The research practice in management research is dominantly based on structural equation modeling (SEM), but almost exclusively, and often misguidedly, on covariance-based SEM. The purpose of this paper is to question the current research myopia in management research, because the paper adumbrates theoretical foundations and guidance for the two SEM streams: covariance-based and variance-based SEM; and improves the conceptual knowledge by comparing the most important procedures and elements in the SEM study, using different theoretical criteria. Design/methodology/approach – The study thoroughly analyzes, reviews and presents two streams using common methodological background. The conceptual framework discusses the two streams by analysis of theory, measurement model specification, sample and goodness-of-fit. Findings – The paper identifies and discusses the use and misuse of covariance-based and variance-based SEM utilizing common topics such as: first, theory (theory background, relation to theory and research orientation); second, measurement model specification (type of latent construct, type of study, reliability measures, etc.); third, sample (sample size and data distribution assumption); and fourth, goodness-of-fit (measurement of the model fit and residual co/variance). Originality/value – The paper questions the usefulness of Cronbach's α research paradigm and discusses alternatives that are well established in social science, but not well known in the management research community. The author presents short research illustration in which analyzes the four recently published papers using common methodological background. The paper concludes with discussion of some open questions in management research practice that remain under-investigated and unutilized.

scholarly journals Pengaruh Usia dan Pendidikan Dalam Pembentukan Persepsi dan Opini di Media Change.org

2019 ◽  
Vol 23 (1) ◽  
pp. 17-26
Author(s):  
Drina Intyaswati ◽  
Supratman Supratman
Keyword(s):  
Public Opinion ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Sampling Technique ◽  
Education Level ◽  
Equation Modeling ◽  
Cluster Sampling ◽  
The Public ◽  
Multistage Cluster Sampling ◽  
Area Data

Along with the development of technology and mass media, Change.org appears in the form of websites that become to a medium for the forming of the public opinion, raising the opinions through campaigns that seeks the support of public opinion raised. This study to confirm how age and education level influencing the form of perceptions and public opinion through Change.org. This research using survey with explanitative approach, a research sampling are 200 people from Change.org users was taken with multistage cluster sampling technique with population at DKI Jakarta area. Data analysis using Structural Equation Modeling (SEM). The results show that age and education do not affect perception and also public opinion forming. This shows that with internet-based media the acceptance of information becomes more similar and individual differences, especially age and education, are not to be an obstacle in adjusting existing public opinion.Keywords: age, education, change.org, perception, public opinion. ABSTRAKSeiring dengan perkembangan teknologi dan media massa, Change.org muncul dalam bentuk situs yang menjadi media pembentukan opini publik, penggalangan opini dilakukan melalui kampanye yang berusaha meminta dukungan terhadap opini publik yang dimunculkan. Penelitian ini bertujuan mencari apakah usia dan Pendidikan berpengaruh terhadap pembentukan persepsi dan opini publik melalui media Change.org. Penelitian ini merupakan penelitian survey yang bersifat eksplanatif, dengan sampel sejumlah 200 orang dari pengguna Change.org dengan pengambilan sample menggunakan teknik cluster sampling bertahap dari populasi di area DKI Jakarta. Analisis data menggunakan Structural Equation Modeling (SEM). Hasilnya menyatakan bahwa usia dan pendidikan tidak berpengaruh terhadap pembentukan persepsi dan juga opini publik. Hal ini menunjukkan dengan adanya media berbasis internet penerimaan informasi menjadi lebih seragam dan perbedaan individu khususnya usia dan pendidikan tidak menjadi kendala dalam penyesuaian opini publik yang ada.Kata kunci: change.org, opini publik, pendidikan, persepsi, usia

scholarly journals Does Stigma Toward Anal Sexuality Impede HIV Prevention Among Men Who Have Sex With Men in the United States? A Structural Equation Modeling Assessment

2020 ◽  
Vol 17 (3) ◽  
pp. 477-490
Author(s):  
Bryan A. Kutner ◽  
Jane M. Simoni ◽  
Kevin M. King ◽  
Steven M. Goodreau ◽  
Andrea Norcini Pala ◽  
...  
Keyword(s):  
United States ◽  
Structural Equation Modeling ◽  
Hiv Prevention ◽  
Structural Equation ◽  
The United States ◽  
Equation Modeling ◽  
Sex With Men
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