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Structural model of deliberative citizenship

Addition and validation of participation indicators

Bibliographic Data

ID21381980
AuthorsJhonathan Cavalcante da Costa (0000-0002-6489-1581, Secretaria de Estado da Educação do Espírito Santo, Brasil, corresponding author)
Year2023
Volume57
Issue5
Publication date2023-01-01
Open AccessYes
TypeARTICLE
VenueRevista de Administração Pública (JOURNAL)
Journal identifiersISSN: 0034-7612 • E-ISSN: 1982-3134
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/0034-761220230001x
OpenAlexW4389473943
LanguageEN
References cited10

This study aims to improve the structural model of deliberative citizenship (Costa & Pinto, 2021, 2023), which is based on studies related to the application of criteria (Tenório, 2012) to the theoretical field of social management. Data were analyzed using structural equation modeling (Hair, Hult, Ringle, & Sarstedt, 2017; Hair et al., 2021). A sample of 213 people from various regions of Brazil responded to an electronic questionnaire after being invited via social media, with emphasis on LinkedIn. In addition to confirming the statistical quality of the structural model of deliberative citizenship (Costa & Pinto, 2021, 2023), two indicators proposed for the “participation” construct (Costa & Pinto, 2021, 2023) were validated. The “deliberative process” construct is still in an exploratory phase, with a test proposition with an additional indicator related to the “cross-cutting spaces” criterion. The validation of additional indicators to the “participation” construct raised its quality above the exploratory zone, as its outer loadings were above 0.7. Therefore, the improvement carried out expands the theoretical and statistical understanding of the model, which can be applied to the various collegiate bodies in public management

Citizenship · Construct (python library) · Data science · Exploratory analysis · Exploratory factor analysis · Exploratory research · Political science · Quality (philosophy) · Sample (material) · Social science · Sociology · Statistics · Structural equation modeling · Business and Management Studies · Chemistry · Computer Science · Education and Public Policy · Law · Mathematics · Psychology · Social and Economic Solidarity

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Highly citedNo

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