Yinying Wang
Biographic Data
| ID | 3914242 |
|---|---|
| NAME | Yinying Wang |
| GIVEN NAMES | Yinying |
| FAMILY NAME | Wang |
| SIGNATURE | WANG Y |
| AFFILIATIONS | Georgia State University |
| ORCID | 0000-0002-9005-9641 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 15 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Interplay between leadership and school-level conditions
We combined network analysis and meta-analysis to systematically review the literature on the Teaching and Learning International Survey, focusing on the interplay between leadership practices and school-level conditions. Our initial network analysis utilized 83 nodes (variables in the reviewed studies) and 214 ties (variable associations), whereas our subsequent meta-analysis employed 21 selected variable associations. Results suggested that lea…
Decoding Sentiment Signals
Two major sets of U.S. content standards have changed since 2010: the Common Core State Standards (CCSS) and Next Generation Science Standards (NGSS). Whereas the CCSS received widespread pushback, the NGSS were broadly uncontentious. Why? Drawing from policy learning and networked publics theories, we used mixed-effects modeling to estimate how tweet authors, hashtags, and time explain sentiment in almost 2 million tweets related to both reforms…
The more the merrier? A network analysis of construct content validity in school leadership literature
School leadership research literature has a large number of widely used constructs. Could fewer constructs bring more clarity? This study evaluates construct content validity, defined as the extent to which a measure's items reflect a theoretical content domain, in school leadership literature. To do so, we reviewed 29 articles that used Teaching and Learning International Survey (TALIS) as data sources to study school leadership, and developed a…
Where Does the Future of an Intellectual Structure of the EAQ Corpus Lie? A Response to Hallinger et al.'s Empirical Reflection
Purpose: This response cautions against narrowly interpreting Hallinger's bibliometric findings on the intellectual structure and impact of Educational Administration Quarterly (EAQ). It highlights two main issues when using citations to measure influence. Response Argument: First, citations reflect a variety of motivations beyond acknowledging intellectual contribution, such as persuasion, allegiance-signaling, and preferential attachment. The s…
A convenient rhetoric or substantial change of teacher racial diversity? A text mining analysis of federal, state, and district documents
Teacher racial diversity has been widely considered important in education. However, it remains unclear to what extent and how teacher racial diversity has been addressed at the federal, state, and district levels. In this study, we employed text mining to collect and analyze over three million documents at the federal, state, and district levels. We found that while students of color had disproportionately less access to racially diverse teacher…
Examining the Actor Coalitions and Discourse Coalitions of the Opt-Out Movement in New York
Background/Context Since 2013, opting out of state standardized tests has become a movement—the grassroots, organized efforts to refuse to take high-stakes state standardized tests. In particular, opt-out rates in the state of New York have been consistently fluctuating around 20%. Purpose/Objective This study aims to examine the actor coalitions and discourse coalitions that have propelled the opt-out movement in the state of New York—the moveme…
What Is the Role of Emotions in Educational Leaders’ Decision Making? Proposing an Organizing Framework
Purpose: Emotions have a pervasive, predictable, sometimes deleterious but other times instrumental effect on decision making. Yet the influence of emotions on educational leaders’ decision making has been largely underexplored. To optimize educational leaders’ decision making, this article builds on the prevailing data-driven decision-making approach, and proposes an organizing framework of educational leaders’ emotions in decision making by dra…
When artificial intelligence meets educational leaders’ data-informed decision-making
Understanding congressional coalitions
The purpose of this study is to investigate policy coalitions of the Every Student Succeeds Act (ESSA) at U.S. congressional hearings. This study is grounded in the advocacy coalition framework, which argues that advocacy coalitions are forged by policy actors who have similar policy preferences. To identify the coalitions, according to the policy claims articulated by policy actors, discourse network analysis was performed to examine 30 testimon…
Who are online learning leaders? Piloting a leader identification method (LIM)
How students emerge as learning leaders in small group online discussions
In this study, we examined the role of leadership styles and multi‐dimensional learner engagement in how students emerge as learning leaders in asynchronous online discussions. Grounded in the conceptual framework of two dominant leadership styles of transformational and transactional leadership, this study applies the two leadership styles—transformational leadership and transactional leadership—to the Leader Identification Method (LIM) which de…
U.S. State Education Agencies’ Use of Twitter
This study examined how Twitter was used by all U.S. state education agencies (SEAs) for public engagement in education. Drawing on the ecological model of communication, this study analyzed the latest 71,913 tweets from 40 SEAs that had official Twitter accounts. The results of correlation analysis indicate no significant relationship between the SEAs’ presence on Twitter and the SEAs’ targeted Twitter users, denoting that the SEAs’ well-intenti…
Big Opportunities and Big Concerns of Big Data in Education
Can virtual schools thrive in the real world
Income tax evasion in the United States and China
Income tax evasion in the United States and China
Can virtual schools thrive in the real world
U.S. State Education Agencies’ Use of Twitter
This study examined how Twitter was used by all U.S. state education agencies (SEAs) for public engagement in education. Drawing on the ecological model of communication, this study analyzed the latest 71,913 tweets from 40 SEAs that had official Twitter accounts. The results of correlation analysis indicate no significant relationship between the SEAs’ presence on Twitter and the SEAs’ targeted Twitter users, denoting that the SEAs’ well-intenti…
Big Opportunities and Big Concerns of Big Data in Education
Understanding congressional coalitions
The purpose of this study is to investigate policy coalitions of the Every Student Succeeds Act (ESSA) at U.S. congressional hearings. This study is grounded in the advocacy coalition framework, which argues that advocacy coalitions are forged by policy actors who have similar policy preferences. To identify the coalitions, according to the policy claims articulated by policy actors, discourse network analysis was performed to examine 30 testimon…
Who are online learning leaders? Piloting a leader identification method (LIM)
How students emerge as learning leaders in small group online discussions
In this study, we examined the role of leadership styles and multi‐dimensional learner engagement in how students emerge as learning leaders in asynchronous online discussions. Grounded in the conceptual framework of two dominant leadership styles of transformational and transactional leadership, this study applies the two leadership styles—transformational leadership and transactional leadership—to the Leader Identification Method (LIM) which de…
Examining the Actor Coalitions and Discourse Coalitions of the Opt-Out Movement in New York
Background/Context Since 2013, opting out of state standardized tests has become a movement—the grassroots, organized efforts to refuse to take high-stakes state standardized tests. In particular, opt-out rates in the state of New York have been consistently fluctuating around 20%. Purpose/Objective This study aims to examine the actor coalitions and discourse coalitions that have propelled the opt-out movement in the state of New York—the moveme…
What Is the Role of Emotions in Educational Leaders’ Decision Making? Proposing an Organizing Framework
Purpose: Emotions have a pervasive, predictable, sometimes deleterious but other times instrumental effect on decision making. Yet the influence of emotions on educational leaders’ decision making has been largely underexplored. To optimize educational leaders’ decision making, this article builds on the prevailing data-driven decision-making approach, and proposes an organizing framework of educational leaders’ emotions in decision making by dra…
When artificial intelligence meets educational leaders’ data-informed decision-making
A convenient rhetoric or substantial change of teacher racial diversity? A text mining analysis of federal, state, and district documents
Teacher racial diversity has been widely considered important in education. However, it remains unclear to what extent and how teacher racial diversity has been addressed at the federal, state, and district levels. In this study, we employed text mining to collect and analyze over three million documents at the federal, state, and district levels. We found that while students of color had disproportionately less access to racially diverse teacher…
Where Does the Future of an Intellectual Structure of the EAQ Corpus Lie? A Response to Hallinger et al.'s Empirical Reflection
Purpose: This response cautions against narrowly interpreting Hallinger's bibliometric findings on the intellectual structure and impact of Educational Administration Quarterly (EAQ). It highlights two main issues when using citations to measure influence. Response Argument: First, citations reflect a variety of motivations beyond acknowledging intellectual contribution, such as persuasion, allegiance-signaling, and preferential attachment. The s…
Interplay between leadership and school-level conditions
We combined network analysis and meta-analysis to systematically review the literature on the Teaching and Learning International Survey, focusing on the interplay between leadership practices and school-level conditions. Our initial network analysis utilized 83 nodes (variables in the reviewed studies) and 214 ties (variable associations), whereas our subsequent meta-analysis employed 21 selected variable associations. Results suggested that lea…
Decoding Sentiment Signals
Two major sets of U.S. content standards have changed since 2010: the Common Core State Standards (CCSS) and Next Generation Science Standards (NGSS). Whereas the CCSS received widespread pushback, the NGSS were broadly uncontentious. Why? Drawing from policy learning and networked publics theories, we used mixed-effects modeling to estimate how tweet authors, hashtags, and time explain sentiment in almost 2 million tweets related to both reforms…
The more the merrier? A network analysis of construct content validity in school leadership literature
School leadership research literature has a large number of widely used constructs. Could fewer constructs bring more clarity? This study evaluates construct content validity, defined as the extent to which a measure's items reflect a theoretical content domain, in school leadership literature. To do so, we reviewed 29 articles that used Teaching and Learning International Survey (TALIS) as data sources to study school leadership, and developed a…
Political science (9 works) · Psychology (9 works) · Sociology (8 works) · Computer Science (7 works) · Law (7 works) · Social Psychology (7 works) · Pedagogy (5 works) · Public relations (5 works) · Evaluation and Performance Assessment (3 works) · Online and Blended Learning (3 works)