Evidence-based psychological interventions and the common factors approach: The beginnings of a rapprochement?

Psychotherapy ◽  
2014 ◽  
Vol 51 (4) ◽  
pp. 510-513 ◽  
Author(s):  
Stefan G. Hofmann ◽  
David H. Barlow
Keyword(s):  
Common Factors ◽  
Psychological Interventions ◽  
Evidence Based ◽  
The Common

Common Factors: What Are They and What Do They Mean for Humanistic Psychology?

2019 ◽  
pp. 002216781985853
Author(s):  
David N. Elkins
Keyword(s):  
Common Factors ◽  
Humanistic Psychology ◽  
Evidence Based ◽  
Scientific Support ◽  
Clinical Literature ◽  
Relational Factors ◽  
Research Findings ◽  
The Common

Although common factors have been widely discussed in the clinical literature, the two questions addressed in this article remain relevant: (a) What are the common factors? (b) What do they mean for humanistic psychology? The first question is important because there is no “definitive list” of common factors, and lists presented in the literature often differ dramatically. In response to this question, the article suggests that an evidence-based list of nine common factors by Wampold provides a useful and credible list. The second question is also important, particularly to humanistic psychologists. Among other answers, the article shows that research findings on common factors provide scientific support for humanistic psychology’s emphasis on the importance of the human and relational factors in psychotherapy.

scholarly journals Integrating psychotherapy with the Hierarchical Taxonomy of Psychopathology (HiTOP)

2018 ◽  
Author(s):  
Christopher James Hopwood ◽  
Michael Bagby ◽  
Tara M. Gralnick ◽  
Eunyoe Ro ◽  
Camilo Ruggero ◽  
...  
Keyword(s):  
Common Factors ◽  
Psychotherapy Research ◽  
Cognitive Behavioral ◽  
Diagnostic Classification ◽  
Evidence Based ◽  
Integrative Psychotherapy ◽  
Categorical Approach ◽  
Research And Practice ◽  
Relational Psychotherapy ◽  
The Common

In this paper we present the Hierarchical Taxonomy of Psychopathology (HiTOP), an evidence-based alternative to the categorical approach to diagnostic classification with considerable promise for integrative psychotherapy research and practice. We first review issues associated with the categorical approach that may have constrained advances in psychotherapy. We next describe how the HiTOP model addresses some of these issues. We then offer suggestions regarding potentially mutual benefits of integrating HiTOP with treatment principles from the common factors literature as well as the cognitive-behavioral and relational psychotherapy traditions. We conclude by enumerating principles for psychotherapy research and practice based on the HiTOP model, which are illustrated with a case example.

scholarly journals N-soliton solutions and the Hirota conditions in (1 + 1)-dimensions

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Wen-Xiu Ma
Keyword(s):  
Common Factors ◽  
Soliton Solutions ◽  
Higher Order ◽  
Kdv Equations ◽  
The Common ◽  
Bilinear Formulation ◽  
Generalized Kdv Equations ◽  
Hirota Bilinear

Abstract We analyze N-soliton solutions and explore the Hirota N-soliton conditions for scalar (1 + 1)-dimensional equations, within the Hirota bilinear formulation. An algorithm to verify the Hirota conditions is proposed by factoring out common factors out of the Hirota function in N wave vectors and comparing degrees of the involved polynomials containing the common factors. Applications to a class of generalized KdV equations and a class of generalized higher-order KdV equations are made, together with all proofs of the existence of N-soliton solutions to all equations in two classes.

scholarly journals A Spatial Panel Structural Vector Autoregressive Model with Interactive Effects and Its Simulation

Mathematics ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 883
Author(s):  
Yaqing Liu ◽  
Hongbing Ouyang ◽  
Xiaolu Wei
Keyword(s):  
Autoregressive Model ◽  
Common Factors ◽  
Interactive Effects ◽  
Vector Autoregressive Model ◽  
Finite Sample ◽  
Vector Autoregressive ◽  
Spatial Panel ◽  
The Common ◽  
Structural Vector Autoregressive Model ◽  
Structural Vector

The existing spatial panel structural vector auto-regressive model can effectively capture the time and spatial dynamic dependence of endogenous variables. However, the hypothesis that the common factors have the same effect for all spatial units is unreasonable. Therefore, incorporating time effects, spatial effects, and time-individual effects, this paper develops a more general spatial panel structural vector autoregressive model with interactive effects (ISpSVAR) that can reflect the different effects of common factors on different spatial units. Additionally, based on whether or not the common factors can be observed, this paper proposes procedures to estimate ISpSVAR separately and studies the finite sample properties of estimators by Monte Carlo simulation. The simulation results show the effectiveness of the proposed ISpSVAR model and its estimation procedures.

Positive psychology: resilience and its role within mental health nursing

2021 ◽  
Vol 10 (1) ◽  
pp. 1-14
Author(s):  
Jan Macfarlane
Keyword(s):  
Mental Health ◽  
Positive Psychology ◽  
Psychological Interventions ◽  
Evidence Based ◽  
Mental Health Nursing ◽  
Mental Health Workforce ◽  
Positive Psychological Interventions ◽  
Health Nursing ◽  
The Individual ◽  
User Friendly

This is the ninth article in a series that explores the meaning of positive psychology and the importance it has on the wellbeing of the mental health workforce. It will focus on positive psychology interventions that help to develop resilience and to consider how the uplifting effect of resilience through contemporary use in the field of mental health nursing can be experienced. This article will explain what the term resilience means and how it is embedded in the practice of positive psychological interventions. Finally, it will emphasise how the application of positive psychological interventions can benefit the individual and the organisation. The practical tasks provided in the boxes throughout the article will help the reader identify what resilience means for them and understand how to further develop its transferability through evidence-based, user-friendly exercises.

scholarly journals Advancing psychotherapy and evidence-based psychological interventions

2013 ◽  
Vol 23 (S1) ◽  
pp. 58-91 ◽  
Author(s):  
Paul M.G. Emmelkamp ◽  
Daniel David ◽  
Tom Beckers ◽  
Peter Muris ◽  
Pim Cuijpers ◽  
...  
Keyword(s):  
Psychological Interventions ◽  
Evidence Based

scholarly journals Bias against Vitamin C in Mainstream Medicine: Examples from Trials of Vitamin C for Infections

Life ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 62
Author(s):  
Harri Hemilä ◽  
Elizabeth Chalker
Keyword(s):  
Clinical Trials ◽  
Vitamin C ◽  
Common Cold ◽  
Evidence Based Medicine ◽  
Evidence Based ◽  
The Third ◽  
Nutritional Recommendations ◽  
Mainstream Medicine ◽  
The Common ◽  
Based Medicine

Evidence has shown unambiguously that, in certain contexts, vitamin C is effective against the common cold. However, in mainstream medicine, the views on vitamin C and infections have been determined by eminence-based medicine rather than evidence-based medicine. The rejection of the demonstrated benefits of vitamin C is largely explained by three papers published in 1975—two published in JAMA and one in the American Journal of Medicine—all of which have been standard citations in textbooks of medicine and nutrition and in nutritional recommendations. Two of the papers were authored by Thomas Chalmers, an influential expert in clinical trials, and the third was authored by Paul Meier, a famous medical statistician. In this paper, we summarize several flaws in the three papers. In addition, we describe problems with two recent randomized trial reports published in JAMA which were presented in a way that misled readers. We also discuss shortcomings in three recent JAMA editorials on vitamin C. While most of our examples are from JAMA, it is not the only journal with apparent bias against vitamin C, but it illustrates the general views in mainstream medicine. We also consider potential explanations for the widespread bias against vitamin C.

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