Measuring Suicidality Using the Personality Assessment Inventory

Patry, Marc W.; Magaletta, Philip R.

doi:10.1177/1073191114539381

Cited by 30 publications

(17 citation statements)

References 58 publications

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“…The tripartite model postulates that an attitude (e.g., toward suicide or death) is comprised of three correlated but distinct components: affect, behavior, and cognition [ 9 ]. The ABC model encompasses common suicidality factors, which might be useful for assessing suicide risk [ 10 ]. Kral and Sakinofsky [ 11 ] proposed a two-tier clinical assessment model that includes sociodemographic factors to understand the client’s general risk level, and subjective factors (thoughts, emotions, suicidal history) to identify individual risk, but has been inadequately tested.…”

Section: Introductionmentioning

confidence: 99%

The ABC’s of Suicide Risk Assessment: Applying a Tripartite Approach to Individual Evaluations

et al. 2015

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There is considerable need for accurate suicide risk assessment for clinical, screening, and research purposes. This study applied the tripartite affect-behavior-cognition theory, the suicidal barometer model, classical test theory, and item response theory (IRT), to develop a brief self-report measure of suicide risk that is theoretically-grounded, reliable and valid. An initial survey (n = 359) employed an iterative process to an item pool, resulting in the six-item Suicidal Affect-Behavior-Cognition Scale (SABCS). Three additional studies tested the SABCS and a highly endorsed comparison measure. Studies included two online surveys (Ns = 1007, and 713), and one prospective clinical survey (n = 72; Time 2, n = 54). Factor analyses demonstrated SABCS construct validity through unidimensionality. Internal reliability was high (α = .86-.93, split-half = .90-.94)). The scale was predictive of future suicidal behaviors and suicidality (r = .68, .73, respectively), showed convergent validity, and the SABCS-4 demonstrated clinically relevant sensitivity to change. IRT analyses revealed the SABCS captured more information than the comparison measure, and better defined participants at low, moderate, and high risk. The SABCS is the first suicide risk measure to demonstrate no differential item functioning by sex, age, or ethnicity. In all comparisons, the SABCS showed incremental improvements over a highly endorsed scale through stronger predictive ability, reliability, and other properties. The SABCS is in the public domain, with this publication, and is suitable for clinical evaluations, public screening, and research.

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Section: Introductionmentioning

confidence: 99%

The ABC’s of Suicide Risk Assessment: Applying a Tripartite Approach to Individual Evaluations

et al. 2015

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“…This measure produces 22 non-overlapping scales that assess clinical symptoms, treatment consideration factors, administration validity and response style, and interpersonal styles. The PAI has demonstrated reliable and valid psychometric properties in numerous groups, including forensic populations (Patry & Magaletta, 2015), Veterans (Thomas, Hopwood, Orlando, Weathers, & McDevitt-Murphy, 2011), deployed military personnel (Morey et al, 2011), clinical samples (Slavin-Mulford et al, 2012), and college students (Ansell, Kurtz, DeMoor, & Markey, 2011) (see Blais, Baity, & Hopwood (2010) for an edited volume regarding clinical applications of the PAI). In the present report, analyses focused on three specific subscales most conceptually linked to affective instability and interpersonal flexibility: Borderline Features (BOR-A), Dominance (DOM) and Warmth (WRM).…”

Section: Methodsmentioning

confidence: 99%

A double-edged sword? Sub-types of psychological flexibility are associated with distinct psychiatric disorders

Denckla

Consedine

Chung

et al. 2018

Journal of Research in Personality

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Introduction: Psychological flexibility is associated with both better and worse health outcomes. The objective of this study was to differentiate two types of psychological flexibility - affective instability and interpersonal flexibility – and to estimate associations with psychiatric disorders. Method: Study participants were drawn from a large outpatient psychiatric sample that completed standard assessment batteries at an academic hospital (N = 1,358, 55.5% males, mean age=43.87, SD=16.57). Results: Less interpersonal flexibility was associated with depressive diagnoses. Greater affective instability was associated with bipolar disorder and was negatively associated with psychotic disorders, but showed no association with depressive disorders. Conclusion: Differing degrees of flexibility and instability in emotional and interpersonal domains may be uniquely associated with specific classes of psychological disorders.

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“…A comprehensive assessment of the suicide risk is one of the most important tasks if the field of suicide prevention. The clinical methods of suicide risk assessment are difficult in mass monitoring (Patry & Magaletta, 2015;Tempier, 2016;Miklin, Mueller, Abrutyn, & Ordonez, 2019;McCusker, 2019).…”

Section: Resultsmentioning

confidence: 99%

The Statistic Model Of Suicide Risk Among Russian Students

Borisenko¹

2019

The European Proceedings of Social and Behavioural Sciences

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In this paper we analyze the modern world tendencies in theoretical and empirical studies of the risk factors for suicidal behavior among adolescents and youth. Developing a model of suicide risk among adolescents considering the inner and external factors determinating suicidal risk, we conducted an empirical research. 276 pupils (151 male и 125 female) were assessed on a number of measures such as The hopelessness scale for children, Beck Depression Inventory (BDI), The Reasons for Living Inventory», Zung Self-Rating Depression Scale) Nemchin's Questionnaire, Kulikov's Questionnaire, Amirkchan's Questionnaire, Orel's Questionnaire to obtain inner risks and our specially developed measure: Hopeless Situation Inventory to find situational external risks. In our model we consider inner determinants of suicidal risk to be hierarchic and on the first level to be united into three components: Emotional and regulative component, Cognitive and evaluation component and Behavioral component. Our fussy model of suicide risk also considers external determinants to be the triggers of suicide attempt when inner risk is high. Using our model we could predict the risk of suicidal behaviour among our adolescents' sample.

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Measuring Suicidality Using the Personality Assessment Inventory

Cited by 30 publications

References 58 publications

The ABC’s of Suicide Risk Assessment: Applying a Tripartite Approach to Individual Evaluations

The ABC’s of Suicide Risk Assessment: Applying a Tripartite Approach to Individual Evaluations

A double-edged sword? Sub-types of psychological flexibility are associated with distinct psychiatric disorders

The Statistic Model Of Suicide Risk Among Russian Students

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