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The core of this book is the concept of huodegan ( ), which refers to a sense of gain that includes perceived individual wellbeing and social development. Given that measuring sense of gain has become critical in the new era of socialism with Chinese characteristics and along with the social indicators movement in the last decade, building an index for evaluating sense of gain becomes critical. Apart from reviewing the existing index systems for social development and policy and the previous studies exploring the sense of gain, this book highlights the importance of combining Chinese socio-cultural features, established theories, and index systems

Purpose: The present study applied the Dynamic Systems Model of Role Identity to construct an index of social work professional identity. Methods: The data were obtained from a longitudinal study of social work in China in 2019. Exploratory structural equation modeling and multigroup confirmatory factor analysis were used to confirm the factor structure. Independent samples t test was adopted to test the difference among different groups. Results: The four-factor (i.e., social, role, target, and action perceptions) index of social work professional identity showed acceptable reliability and good validity. Measurement invariance was observed across different groups (i.e., gender, education background, professional certification, job position, and work seniority). Differences were observed on professional identity among different genders, educational backgrounds, and professional certification groups. Conclusions: The index of social work professional identity can contribute to policymaking, educational curriculum design, and evidence-based interventions aimed at promoting professional identity.

IntroductionPrivacy enhanced technologies (PET) are those that measure and protect privacy by preventing unnecessary use of personal data without loss of the functionality of the information system. In practice, implementing such a system requires fine-grained access control so that access can be granted in smaller chunks of data.
Objectives and ApproachIn record linkage, PET to date has mostly meant separation of identifiers and sensitive information to allow access to only the necessary part. Moving beyond this current norm, we have designed a privacy enhanced interface to support linkage that discloses only the needed information at the sub variable level, when needed to make good decisions, to reduce exposure of personally identifiable information (PII). The system allows for access to PII both at (1) cell level (e.g., only names of needed people are released) or (2) sub-cell level (e.g., only part of a name, suffix or characters, is released).
ResultsIn a user study (N=104) where participants tried to link complicated situations (e.g. twins, Sr/Jr, change of last name) using the interface, we found that users given fully masked data, 0% of information disclosed, were still able to get 75% accuracy using supplemental visual markup. The markups depict data discrepancies such as swapped first and last names, transposed characters, different characters and missing data. More importantly, with this effective interface, we found that there were no statistical difference in accuracy of linkage (84%) or time taken between users with access to all data and those with access to only 30% of the data. We have released a tutorial where users can experience balancing between information disclosure and accuracy of results on sample data.
Conclusion/ImplicationsPrivacy is a major public concern when PII is legitimately accessed to link data. Our study demonstrates that a well-designed privacy enhanced interface can significantly reduce exposure of PII to people when resolving ambiguous linkages without compromising linkage quality. This research points to a new direction for PET in record linkage beyond encryption.