Nunes Kevin L, Hawthorn Danielle M L, Bateman Emily R, Griffith Amy L, Fraser Julia M
Department of Psychology, Carleton University, Ottawa, Canada.
Missouri Sexual Offense Services, Centurion, Jefferson City, MO, USA.
Sex Offending. 2023 Dec 20;18:e11895. doi: 10.5964/sotrap.11895. eCollection 2023 Dec.
It is unclear whether existing measures of attitudes and cognitive distortions regarding sexual offending against children (SOC) reflect evaluative attitudes toward SOC (i.e., how negatively or positively one views SOC). The purpose of the current study was to take the first steps toward creating a self-report measure of evaluative attitudes toward SOC. We created 30 items and asked 157 incarcerated people in a sexual offense treatment program to complete them. We retained the 13 items that were the least positively skewed (i.e., lowest endorsement of the most negative response option) and non-redundant (i.e., not too highly correlated with other items) for inclusion in the new measure, which we called the Evaluative Attitudes Toward Sexual Offending Against Children (EASOC) Scale. As an initial test of the relevance of the EASOC Scale, we examined its association with SOC. Participants with SOC (n = 58) reported more positive evaluative attitudes on the EASOC Scale than did those without SOC (n = 22). This expected association is a necessary (but not sufficient) indication that the EASOC Scale may be relevant for predicting and explaining SOC. Future research using more rigorous methodology should build on our modest first steps to revisit item selection and test the validity and relevance of the EASOC Scale.
目前尚不清楚现有的关于针对儿童性犯罪(SOC)的态度和认知扭曲的测量方法是否反映了对SOC的评价性态度(即一个人对SOC的负面或正面看法程度)。本研究的目的是朝着创建一种针对SOC评价性态度的自我报告测量方法迈出第一步。我们编制了30个项目,并让157名参加性犯罪治疗项目的在押人员完成这些项目。我们保留了13个正向偏态最小(即最负面反应选项的认可度最低)且非冗余(即与其他项目的相关性不太高)的项目,将其纳入新的测量方法中,我们将其称为“针对儿童性犯罪的评价性态度量表(EASOC)”。作为对EASOC量表相关性的初步测试,我们研究了它与SOC的关联。有SOC的参与者(n = 58)在EASOC量表上报告的评价性态度比没有SOC的参与者(n = 22)更积极。这种预期的关联是一个必要(但不充分)的迹象,表明EASOC量表可能与预测和解释SOC相关。未来使用更严格方法的研究应该在我们初步的小步骤基础上,重新审视项目选择,并测试EASOC量表的有效性和相关性。