7 148 CHAPTER 7 in risk assessment instruments developed for adult men with a history of sexual offenses can be investigated. Chapter 3 provide an estimation of the network structure of dynamic risk factors of adult males with a history of sexual offenses as assessed by the STABLE-2007 (Fernandez et al., 2014). Data from the dynamic supervision project (DSP; Hanson et al., 2007) were used, which included 805 adult men starting a period of community supervision (probation or parole) for a sexual offense. The study examined how and to what degree dynamic risk factors are interrelated, and which of these factors would play a more central role within dynamic risk factor networks. Results of this study showed that networks of dynamic risk factors contained distinct communities of risk factors related to sexual self-regulation, emotionally intimate relationships, antisocial traits, and self-management. Dynamic risk factors with a relatively strong influence within the network might be considered candidates for connecting the distinct communities. These dynamic risk factors concerned social rejection/loneliness, cognitive problemsolving skills, impulsive behavior, and callousness. The study outlined in Chapter 4 successfully replicated these findings in a larger, independent sample of adult men incarcerated in the provincial corrections system of British Columbia for the commission of a sexual offense (N = 4,511), implying that risk management and treatment strategies to reduce recidivism would benefit from a stronger focus on dynamic risk factors with a relatively strong influence on the network. 7.2.3 THE ADDED VALUE OF PERSONALIZED NETWORK OF DYNAMIC RISK FACTORS Inferences on interrelationships of dynamic risk factors and their relation to sexual reoffending derived from group-level data, however, cannot blindly be generalized to the intra-individual (person) level (Fisher et al., 2018). Therefore, a series of six case studies was conducted to investigate to what extent personalized information, on patterns in the dynamic course of interrelated risk-relevant features obtained using experience sampling method (ESM), can be deployed to inform forensic case formulations of adult men with a history of sexual offenses. Chapter 5 described how time-series data obtained from prolonged ESM monitoring can be used to reveal these patterns in forensic patients through bar graphs, time series plots, and network graphs estimated using network analysis. The following research questions were formulated to assess the added value of personalized information to forensic case formulation as well as the process of collecting this information: 1) What do participants consider the possible value for forensic case formulation of ESM measurement of risk-relevant features?; 2) How do participants experience the use of the graphs, in terms of ease of understanding and interpretation, in the feedback reports (bar graphs, time series plots, and network graphs)?; 3) To what degree do participants experience effects of ESM assessments on their emotions, sexual feelings, and sexual behavior?; 4) How burdensome do participants perceive ESM assessment regarding the content of items,
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