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This study extends research on one of the most frequently cited school leadership frameworks by examining the psychometric properties of the instrument designed to assess many of the practices included in that framework.

Using data collected from 1,401 teachers the study examined the instrument’s measurement invariance, score reliabilities, as well as construct and predictive validities. Polytomous latent trait models (Many-Facet Rasch model), scale and principal component analysis using second-order Confirmatory Factor Analysis, and Structural Equation Modeling (SEM)-Path modelling were used for these purposes.

Findings report levels of score reliability and valid score inferences. Results concerning the predictive validity of the instrument indicate a complex set of relations among the domains of leadership practices measured by the instrument, variables selected as mediators of leaders’ influence, and their direct and indirect effects on student learning.

This study provides researchers with a reliable and valid instrument for use in their future research. Data for the study were provided by elementary teachers in one US state. The extent to which results of the instrument are valid across different cultural and organizational settings remains to be determined.

Leadership developers may find the instrument useful for assessing the strengths and weaknesses of those participating in their programs while leaders themselves many find the instrument useful for self-diagnosis.

This study contributes to the development of school leadership measures by including Rasch modeling among the methods used for examining the instrument’s psychometric properties.

The purpose of this paper is to test the effects of nine district characteristics on student achievement, explored the conditions that mediated the effects of such characteristics and contributed to understandings about the role school-level leaders play in district efforts to improve achievement.

Data for the study were provided by the responses of 2,324 school and district leaders in 45 school districts to two surveys. Student achievement evidence was provided by multi-grade provincial measures of math and language achievement. The analysis of these data included calculation of descriptive statistics, confirmatory factor analysis and regression mediation analysis.

Seven of nine district characteristics contributed significantly to student achievement and three conditions served as especially powerful mediators of such district effects. The same three conditions, as well as others, acted as significant mediators of school-level leader effects on achievement, as well.

District characteristics tested in the study provide a powerful framework for guiding the district improvement work of senior educational leaders. The organizational improvement efforts of both district and school leaders would be substantially enhanced by a better understanding of how to diagnose and improve the status of those conditions acting as significant mediators of the effects of both district and school leadership on student achievement.

This is one of a very few large-scale quantitative studies examining the extent to which characteristics frequently identified by district effectiveness research explain variation in student learning. It is also one of the very few studies identifying classroom, school and family variables that mediate district effects on such learning. The study also adds to a growing body of evidence about variables which mediate school leaders’ effects on such learning.

This study is a quantitative exploration of a new construct the authors label as “academic culture (AC).” Treating it as generalized latent variable composed of academic press (AP), disciplinary climate (DC), and teachers’ use of instructional time, the purpose of this paper is to explore the potential of this construct to be a key mediator of school leaders’ influence on student learning. The study is guided by three hypotheses.

Responses by 856 elementary teachers from 70 schools to an online survey measured the three components of AC along with school leadership (SL). Provincial tests of writing, reading, and math were used as measures of student achievement (SA). Social economic status (SES) was used as control variable for the study. Data were summarized using descriptive statistics and correlations were calculated among all variables. Analyses included intra-class correlation analysis, regression equations, confirmatory factor analysis, and structural equation modeling.

Evidence confirmed the study’s three hypotheses: first, AP, DC, and instructional time formed a general latent construct, AC; second, AC explained a significant proportion of the variance in SA, controlling for student SES; and third, AC was a significant mediator of SL’s influence on SA. Concepts and measures of academic optimism (AO) and AC are compared in the paper and implications for practice and future research are outlined.

This first study of AC explored the relationship between AC and SA. Although at least two AO studies have included measures of distributed leadership, minimal attention has been devoted to actually testing the claim that AO is amenable to the influence of explicit leadership practices (as distinct from enabling school structures) and is a powerful mediator of SL effects on student learning. Addressing this limitation of AO research to date, the present study included a well-developed measure of leadership practices and assessed the value of AC as a mediator of such practices.

The purpose of this paper is to propose a critical path through which school leadership travels to students by highlighting the importance of teacher commitment.

Using both meta-analytic and narrative review methods, this paper systematically reviews the evidence in the past 20 years about the conceptualizations and measurements of teacher commitment and its relationships with principal leadership and student learning.

This paper presents: first, the four dimensions of teacher commitment and the ten constituents involved in the conceptualization of teacher commitment; and second, the five measures used in empirical studies for measuring teacher commitment. It concludes that: teacher commitment is significantly related to student learning; the extent to which school leadership influences teacher commitment is large and is aligned with the value systems of both leaders and teachers; and teacher commitment mediates leadership impacts on student learning in three ways: at the personal level, at the dyad level and at the collective level.

This study conceptualizes a critical path through which school leadership improves student learning, mediated by teacher commitment. A framework of such critical paths will provide educational leaders and policy makers at both local and state levels with much needed guidance for improving student learning.

This study adds to the understanding of the indirect influence of school leadership on student learning by illustrating how and to what extent principal leadership influences teacher commitment, which in turn influences student learning.

This chapter examines the similarities and differences between the concepts of transformational leadership as developed within North America and the Confucian idea of transformation. It argues that Confucian tradition encompasses the essential elements embedded in the concept of transformational leadership. The former differentiates from the latter in its deeper degree of transformation, emphasis on morality and culture, and its focus on transformation from the inside outwards. The two greatest educators in Chinese history, Confucius and Cai Yuanpei, are evaluated in terms of their transformational leadership qualities in the Western sense. By looking at Confucius and Cai Yuanpei as successful transformational leaders, the chapter identifies four important factors from Chinese cases that may contribute to the success of this type of leadership. Implications of this comparison are discussed as they may inform the knowledge, research and practices of transformational leadership.

There is a growing literature in nonparametric econometrics in the recent two decades. Given the space limitation, it is impossible to survey all the important recent developments in nonparametric econometrics. Therefore, we choose to limit our focus on the following areas. In Section 2, we review the recent developments of nonparametric estimation and testing of regression functions with mixed discrete and continuous covariates. We discuss nonparametric estimation and testing of econometric models for nonstationary data in Section 3. Section 4 is devoted to surveying the literature of nonparametric instrumental variable (IV) models. We review nonparametric estimation of quantile regression models in Section 5. In Sections 2–5, we also point out some open research problems, which might be useful for graduate students to review the important research papers in this field and to search for their own research interests, particularly dissertation topics for doctoral students. Finally, in Section 6 we highlight some important research areas that are not covered in this paper due to space limitation. We plan to write a separate survey paper to discuss some of the omitted topics.

The objective of this study is to explore the impact of a government-supported initiative for operational security, specifically the establishment of the national security emergency industry demonstration base, on the profitability of local publicly traded companies. Additionally, the study investigates the significance of firms' blockchain strategies and technologies within this framework.

Using the differences-in-differences (DID) approach, this study evaluates the impact of China's national security emergency industry demonstration bases (2015–2022) on the profitability of local firms. Data from the China Research Data Service (CNRDS) platform and investor Q&As informed our analysis of firms' blockchain strategy and technology, underpinned by detailed data collection and a robust DID model.

Emergency industry demonstration bases have notably boosted enterprise profitability in both return on assets (ROA) and return on equity (ROE). Companies adopting blockchain strategies and operational technology see a clear rise in profitability over non-blockchain peers. Additionally, the technical operation of blockchain presents a more pronounced advantage than at the strategic level.

We introduced a new perspective, emphasizing the enhancement of corporate operational safety and financial performance through the pathway of emergency industry policies, driven by the collaboration between government and businesses. Furthermore, we delved into the potential application value of blockchain strategies and technologies in enhancing operational security and the emergency industry.