Literature DB >> 7993185

The everyday experience of an institutionalized sex offender: an idiographic application of the experience sampling method.

M Hillbrand1, B M Waite.   

Abstract

The Experience Sampling Method (ESM) is a novel assessment strategy that allows random sampling of thoughts, affects, and behaviors. In ESM studies subjects wear beepers that signal at randomly generated, preprogrammed times at which subjects fill out a questionnaire containing items related to current activity, location, thought content, mood states, etc. The ESM was used to examine the relationship between mood states and thought content in a hospitalized sex offender. The patient exhibited a very high frequency of thoughts with sexual content, as well as thoughts indicative of anger against women, personal inadequacy, and distress. He appeared to be a poor judge of his state of optimal well-being. Whereas he considered support from others to be related to optimal well-being, it was actually sexual thoughts about a woman that were associated with his optimal well-being. The present case study illustrates the value of the ESM in the study of complex thought-affect-behavior relationships.

Entities:  

Mesh:

Year:  1994        PMID: 7993185     DOI: 10.1007/BF01541409

Source DB:  PubMed          Journal:  Arch Sex Behav        ISSN: 0004-0002


  7 in total

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Authors:  R T Hurlburt; S M Melancon
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Journal:  J Nerv Ment Dis       Date:  1987-09       Impact factor: 2.254

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Journal:  Arch Sex Behav       Date:  1990-02

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Authors:  R W Larson; M Raffaelli; M H Richards; M Ham; L Jewell
Journal:  J Abnorm Psychol       Date:  1990-02
  7 in total
  3 in total

1.  Computerized experience sampling method (ESMc): assessing feasibility and validity among individuals with schizophrenia.

Authors:  David Kimhy; Philippe Delespaul; Cheryl Corcoran; Hongshik Ahn; Scott Yale; Dolores Malaspina
Journal:  J Psychiatr Res       Date:  2005-11-21       Impact factor: 4.791

2.  The Study of Progression of Adult Nearsightedness (SPAN): design and baseline characteristics.

Authors:  Mark A Bullimore; Kathleen S Reuter; Lisa A Jones; G Lynn Mitchell; Jessica Zoz; Marjorie J Rah
Journal:  Optom Vis Sci       Date:  2006-08       Impact factor: 1.973

Review 3.  A Practical Guide to Analyzing Time-Varying Associations between Physical Activity and Affect Using Multilevel Modeling.

Authors:  Jinhyuk Kim; David Marcusson-Clavertz; Fumiharu Togo; Hyuntae Park
Journal:  Comput Math Methods Med       Date:  2018-07-09       Impact factor: 2.238

  3 in total

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