Alex J. Bowers

SKIP3, a novel Drosophila tribbles ortholog, is overexpressed in human tumors and is regulated by hypoxia

Regions of hypoxia are a hallmark of solid tumors. Tumor cells modulate the regulation of specific genes allowing adaptation and survival in the harsh hypoxic environment. We have identified SKIP3, a novel human kinase-like gene, which is overexpressed in multiple human tumors and is regulated by hypoxia. SKIP3 is an ortholog of the Drosophila tribbles, rat NIPK, dog C5FW, and human C8FW genes. Drosophila tribbles is involved in slowing cell-cycle progression during Drosophila development, but little is known regarding the function or tissue distribution of the vertebrate orthologs. We show that the normal tissue expression of SKIP3 is confined to human liver, while multiple primary human lung, colon, and breast tumors express high levels of SKIP3 transcript. Endogenous SKIP3 protein accumulates within 48 h under hypoxic growth conditions in HT-29 and PC-3 cells, with upregulation of the SKIP3 mRNA transcript by 72 h. We identified activating transcription factor 4 (ATF4) as a SKIP3-binding partner using the yeast-two-hybrid assay. Coexpression of SKIP3 and ATF4 showed that SKIP3 is associated with the proteolysis of ATF4, which can be blocked using a proteosome inhibitor. These results indicate that SKIP3 may be an important participant in tumor cell growth.

Grades and Graduation: A Longitudinal Risk Perspective to Identify Student Dropouts.

ABSTRACT Studies of student risk of school dropout have shown that present predictors of at-risk status do not accurately identify a large percentage of students who eventually drop out. Through the analysis of the entire Grade 1–12 longitudinal cohort-based grading histories of the class of 2006 for two school districts in the United States, the author extends past longitudinal conceptions of dropout to a longitudinal risk perspective, using survival analysis, life tables, and discrete-time hazard modeling to appropriately account for student graduation, transfer, or dropout. The risk of dropout began in Grade 7, with the most hazardous years at Grades 8 and 11. A novel calculation of teacher-assigned grades, noncumulative GPA, is identified as a strong predictor of student dropout.

Do We Know Who Will Drop out? a Review of the Predictors of Dropping out of High School: Precision, Sensitivity, and Specificity

The purpose of this study is to review the literature on the most accurate indicators of students at risk of dropping out of high school. We used Relative Operating Characteristic (ROC) analysis to compare the sensitivity and specificity of 110 dropout flags across 36 studies. Our results indicate that 1) ROC analysis provides a means to compare the accuracy of different dropout indicators, 2) the majority of dropout flags to date have high precision yet lack accuracy, 3) longitudinal growth models provided the most accurate flags, while 4) the most accurate cross-sectional flags examine low or failing grades. We provide recommendations for future policy and practice.

What Are the Different Types of Principals Across the United States? A Latent Class Analysis of Principal Perception of Leadership

Purpose: Effective styles of principal leadership can help address multiple issues in struggling schools, such as low student achievement and high rates of teacher attrition. Although the literature has nominated certain “idealized” leadership styles as being more or less effective, such as transformational, instructional, and shared instructional leadership, we have little evidence about how principals may or may not choose to practice these styles across U.S. schools. Research Design: Latent class analysis was used to identify different types of principals across the United States. We analyzed the 1999-2000 Schools and Staffing Survey as it presents a unique opportunity to study the different types of U.S. principals since it contains leadership measures not found in other national surveys. A final sample of 7,650 public schools and principals was included in the analysis. Findings: Instead of idealized leadership styles signifying variations in practice, the differences between types of principals were defined by the degree of principal and teacher leadership. Further, the school and principal context, such as school size, urbanicity, accountability performance, and principal background, predicted the three significantly different principal types: controlling, frequent principal leadership; balkanizing, high degree of leadership shared with teachers; or integrating, frequent principal leadership as well as a high degree of leadership shared with teachers. Conclusions: These types suggest that principals simultaneously practice leadership behaviors associated with multiple leadership styles in accordance with their background and school context. These findings provide support for the use of more complex models to assess school leader effectiveness.

Examining the Multiple Trajectories Associated with Dropping Out of High School: A Growth Mixture Model Analysis

ABSTRACT Historically, students who fail to graduate from secondary school are considered as a single category of school dropouts. However, emerging literature indicates that there may be multiple subgroups of high school dropouts, termed a dropout typology. The authors’ purpose was to assess the extent to which a typology of dropouts was present in a large national dataset and to estimate the influence of the known covariates of dropping out on each of the subgroups. A growth mixture model was estimated using the Education Longitudinal Study 2002 (National Center for Education Statistics, n.d.) dataset and noncumulative grade point average during the first 3 semesters of high school. The model identified 2 main subgroups associated with dropping out, which accounted for 24.6% of the sample but contained 91.8% of the dropouts.

How Leaders Agree with Teachers in Schools on Measures of Leadership Practice: A Two-Level Latent Class Analysis of the Comprehensive Assessment of Leadership for Learning

Background: Across the recent research on school leadership, leadership for learning has emerged as a strong framework for integrating current theories, such as instructional, transformational, and distributed leadership as well as effective human resource practices, instructional evaluation, and resource allocation. Yet, questions remain as to how, and to what extent teachers and leaders practice the skills and tasks that are known to be associated with effective school leadership, and to what extent do teachers and leaders agree that these practices are taking place in their school. Purpose of the Study: We examine these issues through applying a congruency-typology model to the validation sample of the Comprehensive Assessment of Leadership for Learning (CALL), (117 schools across the US, including 3,367 teachers and their school leaders) to examine the extent to which there may be significantly different subgroups of teacher and leader responders to the survey, how these subgroups may cluster non-randomly in schools, and to what extent the subgroups of teachers and principals This document is a preprint of a manuscript published in the journal Teachers College Record. Citation: Bowers, A. J., Blitz, M., Modeste, M., Salisbury, J., & Halverson, R. (2017) How Leaders Agree with Teachers in Schools on Measures of Leadership Practice: A Two-Level Latent Class Analysis of the Comprehensive Assessment of Leadership for Learning. Teachers College Record, 119(4). http://www.tcrecord.org/Content.asp?ContentId=21677 The research reported in this paper was supported by the U.S. Department of Education Institute of Education Sciences (Award R305A090265) and by the Wisconsin Center for Education Research, School of Education, University of Wisconsin–Madison. Any opinions, findings, or conclusions expressed in this chapter are those of the authors and do not necessarily reflect the views of the funding agencies, WCER, or cooperating institutions. Note: A previous version of this manuscript was presented at the 2013 annual meeting of the University Council for Educational Administration (UCEA). Indianapolis, IN 3 Alex J. Bowers (bowers@tc.edu); Teachers College, Columbia University; Bowers@tc.edu; 525 W. 120 Street, New York, New York 10027. ORCID: 0000-0002-5140-6428 are aligned or not on their perception that the skills and practices of leadership for learning take place in their school. Research Design: We used multilevel latent class analysis (LCA) to identify significantly different types of teacher and leader responders to CALL, including a cross-level interaction to examine the extent to which there is a typology model of teacher responders across schools and the extent to which the teacher subgroup responses align with the leader of the school. Findings: We find that there are three statistically significant different subgroups of teacher responders to CALL, Low (31.4%), Moderate (43.3%), and High (25.4%). In addition, these subgroups cluster non-randomly across three different types of schools: schools with low leadership for learning (40.2%), moderate leadership for learning (47.0%), and the smallest subgroup, schools with high leadership for learning (12.8%). Conclusions: Our findings suggest that a congruencytypology model of leadership for learning is useful for understanding the context of practice, as schools may be on a continuum of practice in which there is strong alignment between teacher and leader responder types in the low and high schools – indicating problematic or beneficial contexts – but that leaders in the moderate type may be working to move their school towards instructional improvement through leadership for learning. As a quantitative phenomenology, this study provides a rich contextual analysis of the relationship between teachers and leaders on a multisource feedback survey of leadership for learning in schools.

What's in a grade? The multidimensional nature of what teacher-assigned grades assess in high school

Historically, teacher-assigned grades have been seen as unreliable subjective measures of academic knowledge, since grades and standardized tests have traditionally correlated at about the 0.5 to 0.6 level, and thus explain about 25–35% of each other. However, emerging literature indicates that grades may be a multidimensional assessment of both student academic knowledge and a students ability to negotiate the social processes of schooling, such as behavior, participation, and effort. This study analyzed the high school transcript component of the Education Longitudinal Study of 2002 (ELS:2002) using multidimensional scaling (MDS) to describe the relationships between core subject grades, non-core subject grades, and standardized test scores in mathematics and reading. The results indicate that when accounting for the academic knowledge component assessed through standardized tests, teacher-assigned grades may be a useful assessment of a students ability at the non-cognitive aspects of school. Implications for practice, research, and policy are discussed.

Reconsidering grades as data for decision making: more than just academic knowledge

Purpose – Much of the recent research on data‐driven decision making in US schools has focused on standardized test scores while other forms of data in schools have gone largely unexamined as useful data, such as teacher‐assigned grades. Based on the literature, the theory outlined in this paper is that grades, as data historically overlooked in schools, are a useful multidimensional assessment for decision making by educational leaders. This paper aims to address these issues.Design/methodology/approach – Using multidimensional scaling, grades, and standardized test scores are compared for 195 students in grades 9‐12 from two US school districts. The relationship between these assessments is visualized between grades in core subjects, such as Mathematics and English, non‐core subjects, such as Art and Physical Education, and standardized test scores, such as the ACT.Findings – Two significant dimensions appear to be embedded within grades; assessment of academic knowledge and an assessment of a students...

Why Tenth Graders Fail to Finish High School: A Dropout Typology Latent Class Analysis

A large percentage of the students who drop out of K–12 schools in the United States do so at the end of high school, at some point after grade 10. Yet little is known about the differences between types of students who drop out near the end of high school. The purpose of this study is to examine a typology of high school dropouts from a large nationally representative dataset (ELS:2002) using latent class analysis (LCA). We found three significantly different types of dropouts; Quiet, Jaded, and Involved. Based on this typology of three subgroups, we discuss implications for future dropout intervention research, policy, and practice.

Exploring What Leads High School Students to Enroll in Hispanic-Serving Institutions A Multilevel Analysis

This study examined the student and high school contextual factors associated with high school students’ enrollment in Hispanic-Serving Institutions (HSIs). The authors drew on a conceptual framework of college choice involving the concepts of multiple capitals and individual and organizational habitus to examine the postsecondary trajectories of high school graduates using the Educational Longitudinal Study 2002/06. Using hierarchical linear modeling, the authors analyzed two separate models. One model predicted enrollment in an HSI within the 2-year sector and one within the 4-year sector. Distinct predictors of HSI versus non-HSI enrollment were found, particularly for the 4-year sector. This study suggests that in both sectors, high school contexts had a significant effect of channeling students toward HSIs.