99 research outputs found

    Cumulative False Positive Rates Given Multiple Performance Validity Tests: Commentary on Davis and Millis (2014) and Larrabee (2014)

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    Controversy has arisen over interpretation of performance validity tests (PVTs) when multiple PVTs are given. Some papers state that more stringent criteria are needed to judge overall performance as invalid, while others argue that concerns about the number of PVTs are overstated and that widely used criteria are appropriate. We examine theoretical models and assumptions, and analyze published data to determine the magnitude of effects implied by theory and observed in practice. Assertions advanced in the primary papers are examined for consistency with the empirical data. Existing theoretical models do not account well for the diverse empirical data, substantial empirical effects remain poorly understood, and the primary papers include assertions that are not empirically supported. The results indicate that: (a) neuropsychology lacks solid theoretical bases for estimating PVT failure rates given various combinations of PVTs, and thus needs to rely on empirical data; (b) existing empirical data fail to support the application of any uniform criteria across the broad range of scenarios involving multiple PVTs; and (c) practice should rely on empirical studies involving combinations of PVTs that have been studied together, in samples clearly appropriate to the individual case, using experimental designs germane to the questions under consideration

    Cumulative False Positive Rates Given Multiple Performance Validity Tests: Commentary on Davis and Millis (2014) and Larrabee (2014)

    No full text
    Controversy has arisen over interpretation of performance validity tests (PVTs) when multiple PVTs are given. Some papers state that more stringent criteria are needed to judge overall performance as invalid, while others argue that concerns about the number of PVTs are overstated and that widely used criteria are appropriate. We examine theoretical models and assumptions, and analyze published data to determine the magnitude of effects implied by theory and observed in practice. Assertions advanced in the primary papers are examined for consistency with the empirical data. Existing theoretical models do not account well for the diverse empirical data, substantial empirical effects remain poorly understood, and the primary papers include assertions that are not empirically supported. The results indicate that: (a) neuropsychology lacks solid theoretical bases for estimating PVT failure rates given various combinations of PVTs, and thus needs to rely on empirical data; (b) existing empirical data fail to support the application of any uniform criteria across the broad range of scenarios involving multiple PVTs; and (c) practice should rely on empirical studies involving combinations of PVTs that have been studied together, in samples clearly appropriate to the individual case, using experimental designs germane to the questions under consideration

    Do cognition and other person-level characteristics determine housing outcomes among homeless-experienced adults with serious mental illness?

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    Objective: Many persons with serious mental illness (SMI) who have experienced homelessness struggle to sustain stable and independent housing. We know little about determinants of this population's housing status. This study aimed to identify person-level determinants of housing status among homeless-experienced veterans with SMI, focused primarily on cognition. Method: We administered cross-sectional surveys and detailed cognitive assessments on a convenience sample of homeless-experienced veterans with SMI (n = 90); we also reviewed these participants' medical records. We captured person-level potential predictors of housing status (demographics, cognition, diagnoses, symptoms, and service utilization) and 2 years of retrospective housing history. Participants' housing status was conceptualized as the setting (stable housing, other sheltered settings, and streets) they lived in for >50% of the past 2 years. We used the chi-square test and analysis of variance to determine how potential predictors differed by housing status. We used recursive partitioning to identify the combination of potential predictors and corresponding scores that best-differentiated participants by housing status. Results: No between-groups differences (p < .05) in cognition, symptoms, or other person-level factors were found among participants grouped by housing status. Recursive partitioning did not yield a stable model to predict housing status from the potential predictor variables. Conclusions and Implications for Practice: These data suggest that clinical interventions addressing studied person-level factors (e.g., cognitive rehabilitation) may not affect housing status for homeless-experienced veterans. As housing is highly influenced by social determinants of health, policies, and practices that affect contextual factors (e.g., affordable housing supply) may be more likely to improve housing status. (PsycInfo Database Record (c) 2021 APA, all rights reserved)

    Factors Associated With Premature Exits From Supported Housing

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    OBJECTIVE: Many homeless consumers who enroll in supported housing programs—which offer subsidized housing and supportive services—disengage prematurely, before placement in permanent community-based housing. This study explored factors associated with exiting a supported housing program before achieving housing placement. METHODS: With the use of administrative data, a roster was obtained for consumers enrolled in the Veterans Affairs (VA) Greater Los Angeles supported housing program from 2011 to 2012. Fewer (4%) consumers exited this program before achieving housing (“exiters”) compared with consumers described in national VA figures (18%). Exiters with available demographic data (N=51) were matched 1:1 on age, gender, marital status, and race-ethnicity with consumers housed through this program (“stayers,” N=51). Medical records were reviewed to compare diagnoses, health care utilization, housing histories, vocational history, and criminal justice involvement of exiters versus stayers. Exiters' housing outcomes were identified. Recursive partitioning identified variables that best differentiated exiters from stayers. RESULTS: Several factors were associated with premature exits from this supported housing program: residing in temporary housing on hospital grounds during program enrollment, poor adherence to outpatient care, substance use disorders, hepatitis C, chronic pain, justice involvement, frequent emergency department utilization, and medical-surgical admissions. The first of these factors and poor adherence to outpatient medical-surgical care best differentiated exiters from stayers. Moreover, >50% of exiters became street homeless or incarcerated after leaving the program. CONCLUSIONS: In that diverse social factors, diagnoses, and health care utilization patterns were associated with premature disengagement from supported housing, future research is needed to implement and evaluate rehabilitative services that address these factors, adapted to the context of supported housing
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