The research evidence for the common factors models: A historically situated perspective.

Author(s):  
Bruce E. Wampold
Author(s):  
Charlotte Blease ◽  
John M. Kelley ◽  
Manuel Trachsel

This chapter focuses on what information should be provided to patients about the evidence base supporting the clinical effectiveness of psychotherapy. In particular, the authors consider whether research on the relative efficacy of different forms of psychotherapy should be provided to patients, as well as whether patients should be provided with information on the relative importance of common factors versus specific factors as the causal agents of clinical improvement. After a critical review and discussion of the relatively few scholarly papers that have previously addressed this question, the authors conclude that patients should be provided with an honest, transparent, and impartial summary of the evidence related to their treatment options including information about the common factors. The authors offer this conclusion even while acknowledging that considerable controversy persists about how to interpret the psychotherapy research evidence base. Finally, the authors strongly support continued research into these questions, especially given the relatively limited scholarly attention they have received to date.


Author(s):  
Wen-Xiu Ma

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.


Mathematics ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 883
Author(s):  
Yaqing Liu ◽  
Hongbing Ouyang ◽  
Xiaolu Wei

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.


2018 ◽  
Vol 68 (1) ◽  
pp. 31-50 ◽  
Author(s):  
Barbara Danska-Borsiak

This article attempts to estimate the total factor productivity (TFP) for 35 NUTS-2 regions of the Visegrad Group countries and to identify its determinants. The TFP values are estimated on the basis of the Cobb-Douglas production function, with the assumption of regional differences in productivity. The parameters of the productivity function were analysed with panel data, using a fixed effects model. There are many economic variables that influence the TFP level. Some of them are highly correlated, and therefore the factor analysis was applied to extract the common factors – the latent variables that capture the common variance among those observed variables that have similar patterns of responses. This statistical procedure uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. Each component is interpreted using the contributions of variables to the respective component. I estimated a dynamic panel data model describing TFP formation by regions. An attempt was made to incorporate the common factors among the model’s explanatory variables. One of them, representing the effects of research activity, proved to be significant.


Author(s):  
Bruce E. Wampold ◽  
Pål G. Ulvenes

This chapter presents the theoretical framework and research evidence of the contextual model, which integrates common factors and specific ingredients in psychotherapy. In working with clients, the specific ingredients and common factors of various therapy approaches are not mutually exclusive but work together to make psychotherapy effective. The benefits of psychotherapy accrue through three pathways: the real relationship, expectations created through explanation for distress and a cogent treatment plan, and the specific actions enacted in treatment. It is suggested that the outcome of psychotherapy can be improved by the deliberate practice of particular skills that characterize effective therapists. The chapter concludes with case examples, diversity considerations, and future directions.


Author(s):  
Stephen Jones

This chapter discusses the common and understandable belief that poverty can be a significant factor underlying offending. It considers first the research evidence connecting crime with poverty and unemployment, and then takes a wider view of the ways in which the structuring of society can create pressures on individuals to break the law. From the earliest times, people have sought to equate crime with poverty. If this belief is correct, there should be more crime in areas where more poor people live and at times when overall levels of poverty are higher. It was not until the development of national crime statistics in the nineteenth century that any evaluation could be made of this widely held view.


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