Digital Commons Network^™

A Holistic Evaluation Of Buddhism Literature: A Bibliometric Analysis Of Global Publications Related To Buddhism Between 1975 And 2017, Ghouse Modin Nabeesab Mamdapur, Engin Senel

Library Philosophy and Practice (e-journal)

Although Buddhism is the fourth largest religion of the world with almost 500 million followers, to the best of our knowledge, academic literature lacks a bibliometric study investigating Buddhism documents. We used four databases provided by Web of Science; Thomson Reuters to extract the academic documents related to Buddhism and included all items published between 1975 and 2017. We generated info-maps and info-graphics showing distribution of world countries’ publication productivity and connections in bibliometric networks. A total of 25,267 articles were included and the most common document types were original articles, reviews and meeting reports (76.11, 19,38 and 3.84, respectively). …

Growth Of Herpes Research In The 21st Century: A Scientometric Analysis, Sivankalai S

Library Philosophy and Practice (e-journal)

The virus coined in chimpanzees, flying interested in humans a few million years back. Around two-thirds of the human people are diseased through on minimum single herpes simplex virus. Now this research, we aimed to make a complete scientometric analysis of herpes collected works. We collected data by using four databases provided by Web of Science using the keywords “Herpes”. The study is informative in categorizing and sympathetic trends, including core study areas, author, type of documents, journals, institutions, and countries, and just how these are related, within the existing body of collected works on herpes. A total of 8012 …

Chapter 21: Modeling Interviewer Effects In The National Health Interview Survey. Appendix 21, James Dahlhamer, Aaron Maitland, Benjamin Zablotsky, Carla Zelaya

Interviewer Workshop, 2019: Interviewers and Their Effects from a Total Survey Error Perspective

Supplemental Table A21.1 Questions, Question Characteristics, and Intra-Interviewer Correlations (IIC)

Table A21.2 Descriptive Statistics for Respondent and Case Characteristics Included in Multi-Level Models

Table A21.3 Descriptive Statistics for County Measures Included in Multi-Level Models

Table A21.4 Descriptive Statistics for Interviewer Characteristics Included in Multi-Level Models

Table A21.5 Mock Dataset Structure Depicting Questions, Interviewer Groups, and IICs