scholarly journals Why are Psychopaths Difficult to Treat? Testing the Two-Component Model for the Treatment of PCL Psychopaths

2021 ◽  
Author(s):  
◽  
Tadhg E. Daly

<p>Psychopathic personality disorder as conceptualised by the family of scales referred to as the Psychopathy Checklist (PCL), is often cited as a specific responsivity characteristic that will interfere with an otherwise effective treatment programme. However, most research on the treatment of prisoners high on PCL psychopathy asks whether or not they are treatable as opposed to why they are difficult to treat. The Two-Component model (2-C; Wong & Olver, 2015) for the treatment of PCL psychopaths proposes that treatment difficulties observed for those high on PCL psychopathy are primarily caused by the interpersonal and affective personality features of psychopathy represented by PCL Factor 1 (F1). Thus the 2-C model suggests that therapists work around the emotional deficits and disruptive behaviours associated with PCL F1 to focus on changing risk-relevant behaviours that are associated with PCL Factor 2 (F2). In this thesis, we test the assumptions of the 2-C model with a group of high-risk violent men who attended an intensive violence treatment programme and were assessed with a PCL instrument. Specifically, we examined whether the personality features of PCL psychopathy led to more treatment difficulties than the behavioural features by exploring relationships between the factors/facets of the PCL and treatment completion, reconviction, change on dynamic risk, the therapeutic alliance and behaviour during treatment.  In support of the 2-C model we found that PCL:SV Part 1 and its underlying facets were significantly associated with higher rates of removal from treatment, a poorer therapeutic alliance, and lower levels of emotional and performance based behaviours during treatment. Mediation analyses also revealed that the relationships between PCL:SV Part 1 variables and removal were partly explained by lower levels of emotional and performance based behaviours. Also in support of the 2-C model, we found that PCL:SV Part 2 and its underlying facets demonstrated stronger, significant associations with pre-treatment dynamic risk and post-treatment reconvictions when compared with PCL:SV Part 1 variables. Furthermore, poorer performance based behaviours during treatment mediated relationships between PCL:SV Part 2 variables and reconviction outcomes. Several of our findings however, also failed to support or contradicted assumptions of the 2-C model. All these findings are discussed in relation to their implications for the 2-C model, psychopathy treatment research, specific responsivity, the structure of PCL psychopathy, and the utility of the PCL in forensic and legal settings.</p>

2021 ◽  
Author(s):  
◽  
Tadhg E. Daly

<p>Psychopathic personality disorder as conceptualised by the family of scales referred to as the Psychopathy Checklist (PCL), is often cited as a specific responsivity characteristic that will interfere with an otherwise effective treatment programme. However, most research on the treatment of prisoners high on PCL psychopathy asks whether or not they are treatable as opposed to why they are difficult to treat. The Two-Component model (2-C; Wong & Olver, 2015) for the treatment of PCL psychopaths proposes that treatment difficulties observed for those high on PCL psychopathy are primarily caused by the interpersonal and affective personality features of psychopathy represented by PCL Factor 1 (F1). Thus the 2-C model suggests that therapists work around the emotional deficits and disruptive behaviours associated with PCL F1 to focus on changing risk-relevant behaviours that are associated with PCL Factor 2 (F2). In this thesis, we test the assumptions of the 2-C model with a group of high-risk violent men who attended an intensive violence treatment programme and were assessed with a PCL instrument. Specifically, we examined whether the personality features of PCL psychopathy led to more treatment difficulties than the behavioural features by exploring relationships between the factors/facets of the PCL and treatment completion, reconviction, change on dynamic risk, the therapeutic alliance and behaviour during treatment.  In support of the 2-C model we found that PCL:SV Part 1 and its underlying facets were significantly associated with higher rates of removal from treatment, a poorer therapeutic alliance, and lower levels of emotional and performance based behaviours during treatment. Mediation analyses also revealed that the relationships between PCL:SV Part 1 variables and removal were partly explained by lower levels of emotional and performance based behaviours. Also in support of the 2-C model, we found that PCL:SV Part 2 and its underlying facets demonstrated stronger, significant associations with pre-treatment dynamic risk and post-treatment reconvictions when compared with PCL:SV Part 1 variables. Furthermore, poorer performance based behaviours during treatment mediated relationships between PCL:SV Part 2 variables and reconviction outcomes. Several of our findings however, also failed to support or contradicted assumptions of the 2-C model. All these findings are discussed in relation to their implications for the 2-C model, psychopathy treatment research, specific responsivity, the structure of PCL psychopathy, and the utility of the PCL in forensic and legal settings.</p>


1982 ◽  
Vol 28 (98) ◽  
pp. 91-105 ◽  
Author(s):  
V. N. Nijampurkar ◽  
N. Bhandari ◽  
C. P. Vohra ◽  
V. Krishnan

AbstractSurface and core samples of Neh–nar Glacier in the Kashmir Valley have been analysed for the radionuclides 32Si. 210Pb, 40K, and 137Cs. The lateral and vertical profiles (at an altitude of about 4 140 m) reveal:(1)32Si activity decreasing slowly from the accumulation zone to 4 050 m altitude and then abruptly towards the snout.(2)Five zones of alternating high and low 210Pb activity in the surface samples.(3)An horizon at between 2 and 3 m depth containing 210Pb activity above natural levels. This horizon is also associated with 137Cs and a maximum in total ß activity.The ice samples have been dated on the basis of a simplified two–component model, the “fresh“contribution determined by 2l0Pb and the old component by 32Si. The following conclusions can be drawn from these observations:(1)The model age of the snout ice is c. 850 years.(2)The average rate of ice movement in the lower glacier is about 2 m/year, which compares well with the annual movement rate of 2.65 m/year observed since 1974.


1996 ◽  
Vol 169 ◽  
pp. 713-714
Author(s):  
S. A. Kutuzov

The interval method of estimating model parameters (MPs) for the Galaxy was suggested earlier (Kutuzov 1988). Intervals are proposed to be used both for observational estimates of galactic parameters (GPs) and for the values of MPs. In this work we consider a model as a tool for studying mutual interaction of GPs. Two-component model is considered (Kutuzov, Ossipkov 1989). We have to estimate the array P of eight MPs.


2003 ◽  
Vol 593 (2) ◽  
pp. 931-940 ◽  
Author(s):  
Keiichi Maeda ◽  
Paolo A. Mazzali ◽  
Jingsong Deng ◽  
Ken’ichi Nomoto ◽  
Yuzuru Yoshii ◽  
...  

2002 ◽  
Vol 33 (3) ◽  
pp. 332-345 ◽  
Author(s):  
Sang-Chin Choi ◽  
Suk-Jae Lee

Astrophysics ◽  
1997 ◽  
Vol 40 (3) ◽  
pp. 260-266 ◽  
Author(s):  
D. M. Sedrakian

1974 ◽  
Vol 6 (3) ◽  
pp. 321-338 ◽  
Author(s):  
A Rose

A two-component model is presented for the analysis of the economic impact of pollution abatement. The primary component is a dynamic input-output system in which the structure of the economy is related to the level of environmental control as well as to time. A submodel, which consists of the various abatement activities within each industry, is used to explore the underlying nature of structural changes which take place as a result of changes in environmental regulations. The usefulness of the overall model for policy and planning purposes is illustrated by an example in which the submodel is transformed into a linear-programming format.


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