Search

Supplemental material, sj-docx-1-ema-10.1177_17411432231177835 for Interplay between leadership and school-level conditions: A review of literature on the Teaching and Learning International Survey (TALIS) by Joonkil Ahn, Yinying Wang and Yujin Lee in Educational Management Administration & Leadership

Supplemental material, sj-docx-1-ema-10.1177_17411432231177835 for Interplay between leadership and school-level conditions: A review of literature on the Teaching and Learning International Survey (TALIS) by Joonkil Ahn, Yinying Wang and Yujin Lee in Educational Management Administration & Leadership

Supplemental material, sj-docx-1-ema-10.1177_17411432231155730 for The more the merrier? A network analysis of construct content validity in school leadership literature by Yinying Wang and Joonkil Ahn in Educational Management Administration & Leadership

Supplemental material, sj-docx-1-ema-10.1177_17411432231155730 for The more the merrier? A network analysis of construct content validity in school leadership literature by Yinying Wang and Joonkil Ahn in Educational Management Administration & Leadership

This study aims to conduct a discourse network analysis of 2020 Democratic presidential candidates’ education policy proposals. Given the far-reaching influence of presidential election on education policy, this study applies discourses network analysis to uncover education policy coalitions of the 2020 presidential candidates. The results suggest Joe Biden had the highest degree centrality, meaning his education policies were the same with or similar to many other candidates. Moreover, the Democratic candidates’ proposed policies centered around school safety, universal pre-kindergarten programs, increased investment in school infrastructure, increased Title 1 funding, and free tuition and fees at 2- and 4-year public colleges. The findings provide timely insights into education policies over the 2020 presidential campaign.

Purpose: The purpose of this study is to describe the underlying topics and the topic evolution in the 50-year history of educational leadership research literature. Method: We used automated text data mining with probabilistic latent topic models to examine the full text of the entire publication history of all 1,539 articles published in Educational Administration Quarterly (EAQ) from 1965 to 2014. Given the computationally intensive data analysis required by probabilistic topic models, relying on high-performance computing, we used a 10-fold cross-validation to estimate the model in which we categorized each article in each year into one of 19 latent topics and illustrated the rise and fall of topics over the EAQ’s 50-year history. Findings: Our model identified a total of 19 topics from the 1965 to 2014 EAQ corpus. Among them, five topics—inequity and social justice, female leadership, school leadership preparation and development, trust, and teaching and instructional leadership—gained research attention over the 50-year time period, whereas the research interest appears to have declined for the topic of epistemology of educational leadership since the 2000s. Other topics waxed and waned over the past five decades. Implications: This study maps the temporal terrain of topics in the educational leadership field over the past 50 years and sheds new light on the development and current status of the central topics in educational leadership research literature. More important, the panoramic view of topical landscape provides a unique backdrop as scholars contemplate the future of educational leadership research.

This paper compares income tax evasion in the US and China with regard to several aspects, including income tax evasion laws and cases, problems both countries face and their possible solutions. It provides a general picture of income tax evasion in the US and China from both theoretical and practical perspectives. In the last part of the paper, errors in translation on some websites are present to remind readers to be wary of such errors.