Quality & Quantity最新文献

This study identifies differences in the content of open public data managed by the central government, local governments, public institutions, and the office of education in Korea through keyword network analysis. Pathfinder network analysis was performed by extracting keywords assigned to 1,200 data cases, open to the Korean Public Data Portals. Subject clusters were derived for each type of government and their utility was compared using download statistics. Eleven clusters were formed for public institutions with specialized information on national issues such as Health care and Real estate, while 15 clusters were formed for the central government with national administrative information, including Crime and Safety policing. Local governments and offices of education were assigned 16 and 11 topic clusters respectively, with data focusing on regional life such as Local factories and manufacturing, Resident registration, and Lifelong education. Usability was higher in public and central governments that deal with national-level specialized information than for regional-level information. It was also confirmed that subject clusters such as Health care, Real estate, and Crime showed high usability. Furthermore, there was a large gap in data utilization because of the existence of popular data that showed extremely high usage.

Supplementary information: The online version contains supplementary material available at 10.1007/s11135-023-01630-x.

This study aimed to investigate the phenomenon of self-injury among female adolescents. The research was qualitative, and the sampling method was purposive non-random; the sample size was 20 Iranian girl adolescents aged 13-15 years who had experienced non-suicidal self-injury. Data were collected through semi-structured interviews. The data analysis process was performed during three coding steps (open, axial, selective), through which the basic codes and categories were identified. Study results indicate that the main factors in adolescents' self-injury were individual or psychological (thoughts, emotions, and behaviors) and social (peers, family, communication with different gender, communication with others, media/cyberspace, school, and economic). In the former, the role of emotions was remarkable, while in the latter, the family played a key role. Further, results revealed that communication within the family was an important motivating and sustentative factor in adolescents' self-injury. The results can help counselors in working with adolescents who self-injure; results can also be used in the development and implementation of treatment plans.

The COVID-19 pandemic manifested around the World since February 2020, leading to disruptive effects on many aspects of people social life. The suspension of face-to-face teaching activities in schools and universities was the first containment measure adopted by the Governments to deal with the spread of the virus. Remote teaching has been the emergency solution implemented by schools and universities to limit the damages of schools and universities closure to students' learning. In this contribution we intend to suggest to policy makers and researchers how to assess the impact of emergency policies on remote learning in academia by analysing students' careers. In particular, we exploit the quasi-experimental setting arising from the sudden implementation of remote teaching in the second semester of academic year 2019/2020: we compare the performance of the cohort 2019/2020, which represents the treatment group, with the performance of the cohort 2018/2019, which represents the control group. We distinguish the impact of remote teaching at two levels: degree program and single courses within a degree program. We suggest to use Difference-In-Differences approach in the former case and multilevel modeling in the latter one. The proposal is illustrated analysing administrative data referred to freshmen of cohorts 2018/2019 and 2019/2020 for a sample of degree programs of the University of Florence (Italy).