A multi-method approach to the detection of fabricated symptoms

Research output: ThesisDoctoral ThesisMixed; collaboration

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Abstract

The focus of this research was to investigate different methods for detecting fabricated symptoms. Intentional fabrication of symptoms for an external benefit (e.g., compensation) is defined as malingering. Malingering leads to serious financial, social and legal consequences, therefore, investigating and creating new methods for its detection is of high importance. In this dissertation, different indications of fabricated symptoms were examined, such as the quality of symptom statements, response pattern on reaction time tasks, and on the self-report questionnaires. Throughout the eight studies, each method was closely assessed and the findings support a multi-method approach to the detection of fabricated symptoms.
Original languageEnglish
Awarding Institution
  • Maastricht University
  • University of Portsmouth
Supervisors/Advisors
  • Merckelbach, Harald, Supervisor
  • Jelicic, Marko, Supervisor
  • Hope, Lorraine, Supervisor, External person
  • Ost, J., Advisor, External person
Award date29 Jan 2019
Place of PublicationMaastricht
Publisher
DOIs
Publication statusPublished - 2019

Keywords

  • Malingering
  • symptoms
  • detection
  • Fabrication

Cite this

Boskovic, Irena. / A multi-method approach to the detection of fabricated symptoms. Maastricht : Maastricht University, 2019. 197 p.
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title = "A multi-method approach to the detection of fabricated symptoms",
abstract = "The focus of this research was to investigate different methods for detecting fabricated symptoms. Intentional fabrication of symptoms for an external benefit (e.g., compensation) is defined as malingering. Malingering leads to serious financial, social and legal consequences, therefore, investigating and creating new methods for its detection is of high importance. In this dissertation, different indications of fabricated symptoms were examined, such as the quality of symptom statements, response pattern on reaction time tasks, and on the self-report questionnaires. Throughout the eight studies, each method was closely assessed and the findings support a multi-method approach to the detection of fabricated symptoms.",
keywords = "Malingering, symptoms, detection, Fabrication",
author = "Irena Boskovic",
note = "Double doctorate Maastricht University-University of Portsmouth",
year = "2019",
doi = "10.26481/dis.20190129ib",
language = "English",
publisher = "Maastricht University",
school = "Maastricht University, University of Portsmouth",

}

A multi-method approach to the detection of fabricated symptoms. / Boskovic, Irena.

Maastricht : Maastricht University, 2019. 197 p.

Research output: ThesisDoctoral ThesisMixed; collaboration

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N1 - Double doctorate Maastricht University-University of Portsmouth

PY - 2019

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N2 - The focus of this research was to investigate different methods for detecting fabricated symptoms. Intentional fabrication of symptoms for an external benefit (e.g., compensation) is defined as malingering. Malingering leads to serious financial, social and legal consequences, therefore, investigating and creating new methods for its detection is of high importance. In this dissertation, different indications of fabricated symptoms were examined, such as the quality of symptom statements, response pattern on reaction time tasks, and on the self-report questionnaires. Throughout the eight studies, each method was closely assessed and the findings support a multi-method approach to the detection of fabricated symptoms.

AB - The focus of this research was to investigate different methods for detecting fabricated symptoms. Intentional fabrication of symptoms for an external benefit (e.g., compensation) is defined as malingering. Malingering leads to serious financial, social and legal consequences, therefore, investigating and creating new methods for its detection is of high importance. In this dissertation, different indications of fabricated symptoms were examined, such as the quality of symptom statements, response pattern on reaction time tasks, and on the self-report questionnaires. Throughout the eight studies, each method was closely assessed and the findings support a multi-method approach to the detection of fabricated symptoms.

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DO - 10.26481/dis.20190129ib

M3 - Doctoral Thesis

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