Validation of the Online Political Engagement Scale in a British population survey
DOI:
https://doi.org/10.51698/aloma.2017.35.1.13-21Palabras clave:
Online political engagement, Psychometric assessment, Representative samples, British Election StudyResumen
Over the last decade, there has been an ever increasing number of citizens using online media to participate in and engage with politics. Social media sites and online blogs have enabled new opportunities for interactive and user-centered political experiences. Currently, there is a general scarcity of psychometrically validated and standardized instruments that assess politically-related constructs in the field of political sciences. The main aim of the present study was to develop a standardized psychometric tool to assess online political engagement among the general population that is valid and reliable. The present study examined the psychometric properties of a 7-item Online Political Engagement Scale (OPEnS) that assesses various online political actions people engage with during election campaigns. To develop the scale, data from the 2010 British Election Survey were used, and a total of 3,075 people participated in an online survey, post-election. The main findings obtained in the present study supported the undimensionality of the online political engagement construct given the results obtained from confirmatory factor analysis (CFA). The OPEnS appears to be a valid and reliable instrument for assessing this phenomenon, and may be useful in studies investigating newer patterns of online political engagement and disengagement.Publicado
Número
Sección
Derechos de autor 2018 Ana Isabel Pontes, Matt Henn, Mark D. Griffiths, Halley M. Pontes
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
A partir del número 39(1) 2021, los autores y autoras conservan sus derechos y conceden a la revista el derecho de primera publicación de la obra, registrada bajo una licencia de reconocimiento de Creative Commons Attribution-Noncommercial-ShareAlike (by-nc-sa). Se les anima a los autores que hagan la máxima difusión de su artículo, por ejemplo publicarlo en línea y se les propone que lo hagan (por ejemplo, en repositorios institucionales o en su página web) antes y durante el proceso de envío, porque puede producir buenos resultados y hacer que la obra publicada reciba más citas.