Tackling cyclicity in causal models with cross-sectional data using a partial least squares approach: implications for the sequential model of Internet appropriation

Giuseppe Lamberti *, Jordi Lopez Sintas, Giuseppe Pandolfo

*Autor corresponent d’aquest treball

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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.
Idioma originalEnglish
Nombre de pàgines22
RevistaSocial Indicators Research
DOIs
Estat de la publicacióPublicada - 20 d’abr. 2024

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