Blame Attributions Among Child Sexual Abuse Survivors and Disclosure of the Abuse

Child sexual abuse (CSA) disclosure is critical for survivor´s psychosocial adjustment later in life. The aim of the present study was to analyze the relationship between attributions of blame for child sexual abuse by the victim and the disclosure of the abuse to parents or caregivers while controlling for characteristics of the abuse. Female college students between 17 and 24 years of age (M = 19.44, SD = 1.64) from a southern Spanish University were surveyed. Of 1547 respondents, 153 (9.90%) reported having suffered some form of CSA before the age of 15. Information about the characteristics of abuse (age of onset, type of abuse suffered, continuity of abuse, and relationship with and age of the perpetrator) and the existence of abuse disclosure by the survivor was obtained from a self-reported questionnaire developed for the present study. The Attributions of Responsibility and Blame Scale (McMillen & Zuravin, 1997) was used to assess attributions made about CSA (self-blame, perpetrator blame and family blame). The results of a logistic regression model was statistically significant, χ² (9) = 43.856, p < .001. The model explained 41% (Nagelkerke R²) of the variance of abuse disclosure and correctly classified 85.6% of cases. Survivor disclosure was 5.50 times more likely to occur when the perpetrator was not a family member (Wald = 8.14, p < .01) and 3.95 times more likely to occur when there was not physical contact with the perpetrator (Wald = 4.30, p < .05). The occurrence of disclosure was also related to increased perpetrator age (Wald = 4.83, p < .05). With regard to the attributions of blame, the occurrence of disclosure was related to lower scores on self-blame (Wald = 6.78, p < .01) and higher scores on family blame (Wald = 9.67, p < .001). However, no relationship was found between perpetrator blame and disclosure of abuse. The results confirm the idea that not only self-blame attributions, but also family blame attributions are critical to the decision of a CSA victim to disclose abuse. The possibility that children who do not disclose abuse have a greater need to deny the occurrence of abuse, or have more confusion about being abused is discussed. Attributions of blame should be taken into serious consideration when evaluating children for possible sexual abuse.

Explaining tourists´ support for environmental protection

Any movement towards sustainable tourism is dependent not only upon the industry and other key stakeholders but also the demand side, namely the tourists. Yet, there is a limited literature from the demand point of view. In this area, contributions to an understanding of tourists’ support to sustainable development are necessary. This paper analyzes the main determinants in tourist behavior regarding the environmental considerations when they are making decisions about their holiday plans. General literature on this issue highlights the need to consider socio-economic variables of the individual as well as the attributes related of their style of living. If the econometric model takes into account all these variables simultaneously, then the linkage between contextual changes and tourists´ behaviour is enriched and it may be estimated more accurately. In this sense, a multilevel approach using a random-intercept logistic models is proposed, since tourists belong to a country are affected by the same contextual variables. The analysis comprises a joint dataset composed by microdata belong to the survey Attitudes of Europeans Towards Tourism, which corresponds to Flash Eurobarometer 281, macrodata from Eurostat (GDP in pps and GDP growth) and additional variables profiles from the 2005 Environmental Sustainability Index. Country-specific effects are calculated across the EU-27 countries, which corroborated that attitudes to the sustainable tourism are heterogeneous geo-graphically. The higher the level of GDP, the lower the level of tourists´ support. These results could be explained because tourists of richer countries already have to pay more tax for envi-ronmental protection. Age, gender and educational attainment are relevant. Motivations for travelling, size of the community, type of the destination, and environmental sustainability indi-cators of the place of residence are also important factors.