Search results for "Causa"

Coming up Roses

2022

Discussing two short stories by contemporary Scottish author Ali Smith, my article recommends a close reading of short prose narratives as potential examples of ungendered character-narration. I combine queer and unnatural narrative theory to consider how forms of telling contribute to gender ambiguity. Further, I advocate interpretative strategies that resist naturalization and causal explanations. Instead, a queer reading of Smith’s “erosive” (2003) and “The beholder” (2015) delights in their ambiguity, waywardness, and narrative inventiveness. The texts can be approached as exercises in unknowing.
 Keywords: queer narratology, unnatural narratology, ungendering, narrative voice, cau…

How does academic achievement come about: cross-cultural and methodological notes

2001

Abstract This chapter discusses the possible impact of cross-national diversity in academic institutions, in the selection of students, in the importance of national achievement tests, and cross-national differences in the variation of social background factors. It ends with the strengths and limitations of using path modeling in cross-sectional research. It is of particular interest to note whether study behaviors mediate the impact of students’ abilities on college success, or whether students’ abilities mediate the effect of study behaviors on achievement. A secondary concern is the extent to which the same causal model applies equally to different universities in different countries.

Searching for the truth about schizophrenia requires the application of similarly high standards of proof to biological and social risk factors

2013

In their provocative paper, Bentall and Varese (2012) criticize our review on child abuse and schizophrenia (Sideli, Mule, La Barbera, & Murray, 2012) and suggest that we have a biological bias whi...

José Vidal Beneyto, o la impaciencia apasionada

2010

Cinco tesis sobre el terrorismo islamista

2005

Interindividual Differences in Treatment Effects based on Structural Equation Models with Latent Variables: An EffectLiteR Tutorial

2019

The investigation of interindividual differences in the effects of a treatment is challenging, because many constructs-of-interest in psychological research such as depression or anxiety are latent variables and modeling heterogeneity in treatment effects requires interactions and potentially nonlinear relationships. In this paper, we present a tutorial of the EffectLiteR approach (Mayer, Dietzfelbinger, Rosseel, & Steyer, 2016) that allows for estimating individual treatment effects based on latent variable models. We describe step by step how to apply the approach using the EffectLiteR software package with data from the multicenter randomized controlled trial of the Social Phobia…

The embodied sources of purpose expressions in Latin

2016

This chapter examines the phrasal means of encoding the semantic role of purpose in Latin. After discussing the notion of semantic role and its use in cognitive linguistics, we illustrate the conceptual relation between the notional domains of space and causation. On this basis, we analyze the source of purpose expressions in Latin, which are mainly based on direction (bare dative and the allative markers, i.e. ad / in + accusative), but also include prepositional phrases metaphorically derived from location (e.g. per + accusative, prō + ablative, propter + accusative), or metonymically spreading from reason to purpose (as in the case of causal markers such as genitive + causā and gratiā ).

Estimating the decomposition of predictive information in multivariate systems

2015

In the study of complex systems from observed multivariate time series, insight into the evolution of one system may be under investigation, which can be explained by the information storage of the system and the information transfer from other interacting systems. We present a framework for the model-free estimation of information storage and information transfer computed as the terms composing the predictive information about the target of a multivariate dynamical process. The approach tackles the curse of dimensionality employing a nonuniform embedding scheme that selects progressively, among the past components of the multivariate process, only those that contribute most, in terms of co…

Pathway analysis of high-throughput biological data within a Bayesian network framework

2011

Abstract Motivation: Most current approaches to high-throughput biological data (HTBD) analysis either perform individual gene/protein analysis or, gene/protein set enrichment analysis for a list of biologically relevant molecules. Bayesian Networks (BNs) capture linear and non-linear interactions, handle stochastic events accounting for noise, and focus on local interactions, which can be related to causal inference. Here, we describe for the first time an algorithm that models biological pathways as BNs and identifies pathways that best explain given HTBD by scoring fitness of each network. Results: Proposed method takes into account the connectivity and relatedness between nodes of the p…

Comments on “Unobservable Selection and Coefficient Stability

2019

Abstract–: We establish a link between the approaches proposed by Oster (2019) and Pei, Pischke, and Schwandt (2019) which contribute to the development of inferential procedures for causal effects in the challenging and empirically relevant situation where the unknown data-generation process is not included in the set of models considered by the investigator. We use the general misspecification framework recently proposed by De Luca, Magnus, and Peracchi (2018) to analyze and understand the implications of the restrictions imposed by the two approaches.