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Methodological Quality of Interventions in Psychology

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889452491 Year: Pages: 120 DOI: 10.3389/978-2-88945-249-1 Language: English
Publisher: Frontiers Media SA
Subject: Science (General) --- Psychology
Added to DOAB on : 2018-02-27 16:16:44
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Evaluations of intervention programs seek to present high-quality design, measures and data to assess their merit and worth. While evaluations differ in their purpose, theoretical framework and methodology, their collective aim is to obtain relevant and meaningful information to inform practice, research, and policy. As such, evaluation findings serve to build a body of knowledge on effective approaches to promote designated psychological outcomes, critical to an individual's overall health and well-being. However, as examined in this e-book, methodological weaknesses directly limit the potential of evaluations of intervention programs. As discussed by Chacón-Moscoso and Sanduvete-Chaves, methodological weaknesses can be attributed to how to define and measure methodological quality and the contextual dependency of instruments designed to measure this quality.In response, this e-book provides a collection of studies on methodological approaches to promote the quality of psychological interventions. Specifically, 10 original works published in the Research Topic Methodological Quality of Interventions in Psychology are included. The papers are organized into two chapters. Concretely, Chapter 1 includes studies pertaining to methodological approaches to enhance the quality of psychological intervention, being context independent solutions. Furthermore, Chapter 2 presents original work in different areas (health, education, sport and social welfare) where methodological quality has been better assessed. Collectively, the papers in this e-book serve to expand the awareness of practitioners and researchers interested in psychological interventions of the critical role of methodological quality in this work. This research was funded by the projects 1150096 (Chilean National Fund of Scientific and Technological Development, FONDECYT); and PSI2015-71947-REDT (Spain’s Ministry of Economy and Competitiveness).

Trauma; Psychosis and Posttraumatic Stress Disorder

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889453603 Year: Pages: 217 DOI: 10.3389/978-2-88945-360-3 Language: English
Publisher: Frontiers Media SA
Subject: Medicine (General) --- Psychiatry --- Science (General) --- Psychology
Added to DOAB on : 2018-02-27 16:16:45
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There is abundant evidence showing a strong association between trauma exposure, psychotic symptoms, and posttraumatic stress disorder (PTSD). Early trauma exposure contributes to the formation of psychotic symptoms and the development of psychotic disorders or severe mental illnesses such as schizophrenia, bipolar disorder, and treatment-refractory major depression. Furthermore, among persons with psychotic disorders, multiple traumatization over the lifetime is common, due to factors such as social stigma, the criminalization of severe mental illness, and increased vulnerability to interpersonal victimization. In addition to these factors is the traumatic nature of experiencing psychotic symptoms and coercive treatments such as involuntary hospitalization and being placed in seclusion or restraints. Not surprisingly, these high rates of trauma lead to high rates of PTSD in people with psychotic disorders, which are associated with more severe symptoms, worse functioning, and greater use of acute care services. In addition to the impact of trauma on the development of psychotic disorders and comorbid PTSD, traumatic experiences such as childhood sexual and physical abuse can shape the nature of prominent psychotic symptoms such as the content of auditory hallucinations and delusional beliefs. Additionally, traumatic experiences have been implicated in the role of ‘stress responsivity’ and increased risk for transition to psychosis in those identified as being at clinical high risk of developing psychosis. Finally, although the diagnostic criteria for PTSD primarily emphasize the effects of trauma on anxiety, avoidance, physiological over-arousal, and negative thoughts, it is well established that PTSD is frequently accompanied by psychotic symptoms such as hallucinations and delusions that cannot be attributed to another DSM-V Axis I disorder such as psychotic depression or schizophrenia. Understanding the contribution of traumatic experiences to the etiology of psychosis and other symptoms can inform the provision of cognitive behavioral therapy for psychosis, including the development of a shared formulation of the events leading up to the onset of the disorder, as well as other trauma-informed treatments that address distressing and disabling symptoms associated with trauma and psychosis. Until recently the trauma treatment needs of this population have been neglected, despite the high rates of trauma and PTSD in persons with psychotic disorders, and in spite of substantial gains made in the treatment of PTSD in the general population. Fortunately, progress in recent years has provided encouraging evidence that PTSD can be effectively treated in people with psychotic disorders using interventions adapted from PTSD treatments developed for the general population. In contrast to clinician fears about the untoward effects of trauma-focused treatments on persons with a psychotic disorder, research indicates that post-traumatic disorders can be safely treated, and that participants frequently experience symptom relief and improved functioning. There is a need to develop a better understanding of the interface between trauma, psychosis, and post-traumatic disorder. This Frontiers Research Topic is devoted to research addressing this interface.

Interventions in Digital Cultures: Technology, the Political, Methods

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Book Series: Digital Cultures ISBN: 9783957961112 Year: Pages: 148 DOI: 10.14619/1105 Language: English
Publisher: meson press
Subject: Media and communication
Added to DOAB on : 2019-11-15 13:41:44
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How to intervene? Interventions are in vogue in digital cultures as forms of critique or political actions into public spheres. By engaging in social, political, and economic contexts, interventions attempt to interrupt and change situations—often with artistic means. This volume maps methods of interventions under the specific conditions of the digital. How are interventions shaped by these conditions? And how can they contribute to altering them? In essays and interviews, this book interrogates modes of intervening in and through art, infrastructures, techno-ecological environments, bio-technology, and political protests to highlight their potentials as well as their ambivalences.

Elements of Causal Inference

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Book Series: Adaptive Computation and Machine Learning series ISBN: 9780262344296 9780262037310 Year: Pages: 288 Language: English
Publisher: The MIT Press
Subject: Computer Science
Added to DOAB on : 2019-01-17 11:41:31
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A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.

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