Disclosure risk assessment in statistical microdata protection via advanced record linkage

The performance of Statistical Disclosure Control (SDC) methods for microdata (also called masking methods) is measured in terms of the utility and the disclosure risk associated to the protected microdata set. Empirical disclosure risk assessment based on record linkage stands out as a realistic and practical disclosure risk assessment methodology which is applicable to every conceivable masking method. The intruder is assumed to know an external data set, whose records are to be linked to those in the protected data set; the percent of correctly linked record pairs is a measure of disclosure risk. This paper reviews conventional record linkage, which assumes shared variables between the external and the protected data sets, and then shows that record linkage—and thus disclosure—is still possible without shared variables.     

A Data-Driven Approach to Construct Survey-Based Indicators by Means of Evolutionary Algorithms

Despite growing understanding of resilience as a process associated with both individual capacities and physical and relational resources located in social ecologies, most instruments designed to measure resilience overemphasize individual characteristics without adequately addressing the contextual resources that support resilience processes. Additionally, most resilience studies have focused on children and youth, without significant attention to social ecological factors that promote post-risk adaptation for adults and how this is measured. Consequently, a key issue in the continued study of adult resilience is measurement instrument development. This article details adaptation of the Child and Youth Resilience Measure for use with an adult population. The article draws on data from a mixed methods study exploring the resilience processes of Irish survivors of clerical institutional abuse. The sample included 105 adult survivors (aged 50–99) who completed the RRC-ARM and the Warwick–Edinburgh Mental Well-being Scale (WEMWBS) during the first phase of the study. Exploratory factor analysis, Cronbach Alpha and MANOVA were conducted on the data. EFA identified five factors; social/community inclusion, family attachment and supports, spirituality, national and cultural identity, and personal competencies. The RRC-ARM shows good internal reliability and convergent validity with the WEMWBS, with significant differences on scale scores for men and women, as well as place of residence. This exploratory adaptation supports the potential of the RRC-ARM as a measure of social ecological resilience resources for adult populations and may have particular applications with vulnerable communities. Further validation is required in other contexts and specifically with larger samples.