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  1. Identification of risk and protective factors for elder financial exploitation

    Wood, Stacey
    [Rockville, Md.] : National Criminal Justice Reference Service, Office of Justice Programs, 2017.

    Online purl.fdlp.gov

  2. Identification of risk and protective factors for elder financial exploitation

    Wood, Stacey
    [United States] : [publisher not identified], 2017.

    Financial exploitation of older adults (FE) is a highly significant social problem that, to date, has not received much attention from the field of psychology. Data sources tracking FE report that FE has been increasing with losses of approximately $2.9 billion dollars per year. Psychological risk factors are well established and psychological outcomes have recently been demonstrated. FE can occur at any stage of the lifespan and the literature regarding prevalence amongst older adults has been mixed in terms of supporting a theory that older adults are more "susceptible" to fraud. However, there has been literature with documentation that older adults are targeted disproportionately, and are less likely to report FE.

    Online www.ncjrs.gov

  3. Identification of Risk and Preventive Factors for Elder Financial Exploitation, Los Angeles, 2014-2015 [electronic resource]

    2018-01-05 - Ann Arbor, Mich. Inter-university Consortium for Political and Social Research [distributor] 2018

    These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. Financial elder exploitation (FE) is an increasing problem for vulnerable elders exploited by opportunists and for the social service and criminal justice system designed to protect them. This study systematically investigated both objective and subjective measures of social support and isolation, along with common risk factors mentioned in FE theories, including dependency, physical health, depression, cognition, and demographic characteristics. Researchers collected data on individual difference variables with an emphasis on cognitive factors and data on contextual factors using an individually administered survey approach. The framework for this project was derived from known factors for FE, predicted protective factors for FE, and conceptual approaches from the child mistreatment literature on risk and resilience. The study includes 1 SPSS data file with 216 cases and 297 variables.

    Online ICPSR

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