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| Pàgina inicial > Articles > Articles publicats > Tackling cyclicity in causal models with cross-sectional data using a partial least squares approach : |
| Publicació: | Springer Netherlands, 2024 |
| Descripció: | 33 pàg. |
| Resum: | Working with structural equation modelling and cross-sectional data, and depending on the studied phenomenon, assuming an acyclic model may mean that we obtain only a partial view of the mechanisms that explain causal relationships between a set of theoretical constructs, given that variables are treated as antecedents and consequences. Our two-step approach allows researchers to identify and measure cyclic effects when working with cross-sectional data and a partial least squares modelling algorithm. Framing our empirical analysis in the resources and appropriation theory and the sequential model of Internet appropriation, we highlight the importance of considering cyclic effects. Our results show that physical access followed by skills acquisition enhance Internet usage (acyclic effects), but also that Internet usage intensity, in reverse, reinforces both digital skills and physical access (cyclic effects), thereby providing support for Norris' social stratification hypothesis (2001) regarding future evolution of the digital divide. |
| Ajuts: | Agència de Gestió d'Ajuts Universitaris i de Recerca 2017/SGR-1056 European Commission 870691 |
| Nota: | Altres ajuts: acords transformatius de la UAB |
| Drets: | Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. |
| Llengua: | Anglès |
| Document: | Article ; recerca ; Versió sotmesa a revisió |
| Matèria: | Cyclic effects ; PLS-SEM ; Digital divide ; Internet appropriation ; Digital skills ; RA theory |
| Publicat a: | Social indicators research, ISSN 1573-0921 |
22 p, 1.1 MB |
Preprint 44 p, 748.6 KB |