Census metadata driven data collection monitoring: The Ethiopian experience

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PLS path modelling for the evaluation of patients' satisfaction of a department

Patient satisfaction surveys are gaining in importance and should be at the heart of any healthcare facility. It's valuable to get a holistic view of what patients really think about the care and treatment they receive. Patient satisfaction can be measured by methods based on latent variables, i.e., variables that are not directly observed but deducted from mathematical analysis. Those methods include the partial least squares (PLS) path modelling aimed at defining optimal linear relations among latent variables in order to assemble the best set of predictions. Aim of this paper is show an application of patient satisfaction survey made on the Department of Day Surgery of the Caserta' Hospital

The Use of Partial Least Squares–Path Modelling to Understand the Impact of Ambivalent Sexism on Violence-Justification among Adolescents

Gender violence is generally conceived as a phenomenon concerning only adults. Nonetheless, it is also perpetrated within teenagers’ relationships, as many empirical studies have shown. We therefore have focused our attention on a non-probabilistic sample consisting of 400 adolescents living in Naples (Italy), to study the association between sexism and the justification of violent attitudes. Generally, sexism is recognised as a discriminatory attitude towards people, based on their biological sex. However, it is conventional to talk about sexism as a prejudice against women. The Ambivalent Sexism Inventory (ASI) for adolescents was used to evaluate the two dimensions of ambivalent sexism, i.e., hostile sexism (HS) and benevolent sexism (BS). Moreover, the questionnaire regarding attitudes towards diversity and violence (CADV) was administered to assess participants’ attitudes towards violence. A Partial Least Square–Second Order Path Model reveals that girls’ ambivalent sexism is affected more by benevolent sexism than hostile sexism. On the contrary, among boys, hostile sexism has a higher impact. Finally, benevolent sexist girls justify domestic violence more than boys do