5 116 CHAPTER 5 Table 5.1: Sample characteristics Range / % (n/N) Demographic Variables Age 27 - 51 Never cohabitated > 2 yrs 50.0% (3/6) Risk Scores STATIC-99R total score 0 - 6 STABLE-2007 total score 4 - 19 Risk category II 16.7% (1/6) Risk category III 16.7% (1/6) Risk category IVa 16.7% (1/6) Risk category IVb 50.0% (3/6) Prior Criminal History Prior sentence dates 50.0% (3/6) Prior non-sexual violence 0.0% (0/6) Prior sex conviction 33.3% (2/6) Sexual Index Characteristics Non-sexual violence 0.0% (0/6) Contact sexual offense 66,7% (4/6) Non-contact sexual offense 8,3% (5/6) Male victim 33.3% (2/6) Stranger victim 50.0% (3/6) Unrelated victim 66.7% (4/6) Note. The STATIC-99R and STABLE-2007 are actuarial risk scales designed to predict sexual recidivism among adult male with a history of these offenses focusing on respectively static and stable dynamic risk factors (STATIC-99R: Phenix et al., 2016/2017; STABLE-2007: Fernandez et al., 2012/2014; Dutch authorized translation by van den Berg et al., 2014). 5.3.1.2 Increased understanding of interrelationship and association with future sexual offenses TWEETS and the semi-structured interview evaluated participants perceived added value for the case formulation of both the ESM measurement, as well as the resulting feedback report. Figure 5.2 displays composite bar graphs of the TWEETS for the three timepoints. Participants were neutral or agreed on the statement that scoring their risk-relevant features on their smartphone made it easier to gain insight in their interrelationships (t1 and t3; agree, n = 2, neutral, n = 3; t2, agree, n = 1, neural, n = 3, missing, n = 1). After the first ESM measurement (t1), three participants expected that the ESM measurement would help them gain more insight in risk-relevant features, while two participants scored neutral on this statement. After the last ESM measurement (t3), two participants agreed with this
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