scholarly journals Teacher Quality and Teacher Mobility

2017 ◽  
Vol 12 (3) ◽  
pp. 396-418 ◽  
Author(s):  
Li Feng ◽  
Tim R. Sass

There is growing concern among policy makers over the quality of the teacher workforce in general, and the distribution of effective teachers across schools. The impact of teacher attrition on overall teacher quality will depend on the effectiveness of teachers who leave the profession. Likewise, teacher turnover may alleviate or worsen inequities in the distribution of teachers, depending on which teachers change schools or leave teaching and who replaces them. Using matched student–teacher panel data from the state of Florida, we examine teacher mobility across the distribution of effectiveness (as measured by teacher value added). We find that top-quartile and bottom-quartile teachers exit at a higher rate than do average-quality teachers. Additionally, as the share of peer teachers with more experience, advanced degrees, or professional certification increases, the likelihood of moving within-district decreases. We also find some evidence of assortative matching among teachers—more productive reading/language arts teachers are more likely to stay in teaching if they have more productive peer teachers.

2017 ◽  
Vol 32 (7) ◽  
pp. 969-992
Author(s):  
James V. Shuls

State policy makers are constantly looking for ways to improve teacher quality. An oft tried method is to increase the rigor of licensure exams. This study utilizes state administrative data from Arkansas to determine whether raising the cut-scores on licensure exams would improve the quality of the teacher workforce. In addition, the study explores the trade-offs of such a policy decision. It is concluded that raising the required passing score on the Praxis II would increase the quality of the teacher workforce, as measured by value-added student achievement. This change, however, would be accompanied with an important trade-off as it would reduce the number of minority teachers and potentially lead to negative outcomes in disadvantaged schools.


2017 ◽  
Vol 119 (4) ◽  
pp. 1-32
Author(s):  
Daniel H. Bowen ◽  
Jonathan N. Mills

Background/Context With a growing body of evidence to support the assertion that teacher quality is vital to producing better student outcomes, policymakers continue to seek solutions to attract and retain the best educators. Performance-based pay is a reform that has become popular in K–12 education over the last decade. This strategy potentially produces positive impacts on student achievement in two ways: better alignment of financial incentives with desired outcomes and improved the composition of the teacher workforce. While evaluations have primarily focused on the former result, there is little research on whether the longer-term implementation of these polices can attract more effective teachers. Purpose In this study we aim to provide evidence for potential long-term impacts that performance-based pay can have on the composition of the teacher workforce by addressing two questions: Does performance-based pay attract fundamentally different individuals, as measured by their risk preferences, to the teaching profession? Are stated preferences for a particular pay format correlated to measures of teacher quality? Research Design We apply methods from experimental economics and conduct surveys with 120 teachers from two school districts who have experienced performance pay. We compare the risk preferences of teachers hired under the two pay formats to test the hypothesis that performance-based pay attracts individuals with different characteristics to the profession. We also analyze teachers’ survey responses on their preferences for performance-based pay to determine their relationships to two measures of teacher quality: student test-score gains and principal evaluations. Conclusions/Recommendations We find mixed results regarding the ability of performance-based pay to alter the composition of the teacher workforce. Teachers hired with performance-based pay in place are no different from their colleagues. However, teachers claiming to seek employment in districts with performance-based pay in place appear significantly less risk averse. Surprisingly, additional analyses indicate that teachers’ value-added scores and performance evaluations do not predict a positive disposition towards merit pay. Thus, while these results indicate the possibility for performance-based pay to attract different individuals to teaching, they do not provide evidence that such change would necessarily improve the composition of the workforce. Policymakers should take this potential tradeoff into consideration when considering the expansion of performance pay policies.


2020 ◽  
pp. 0013189X2095517
Author(s):  
Ijun Lai ◽  
W. Jesse Wood ◽  
Scott A. Imberman ◽  
Nathan D. Jones ◽  
Katharine O. Strunk

Although most students with disabilities (SWDs) receive instruction from general education teachers, little empirical work has investigated whether these students have suitable access to high-quality teachers. We explore the differences in teacher quality experienced by SWDs and students without disabilities (non-SWDs) in the Los Angeles Unified School District, examining how access varies within schools as well as across school-level disadvantage rates. We leverage several different indicators of teacher effectiveness for general education teachers who instruct both SWDs and non-SWDs. We find that SWDs are significantly more likely to have teachers with lower math value-added (–0.024 standard deviations) than their non-SWD peers, and we find emerging gaps in teacher evaluation scores and exposure to novice teachers. In general, these gaps do not vary by school-level disadvantage.


2015 ◽  
Vol 117 (5) ◽  
pp. 1-24
Author(s):  
Chandra L. Alston ◽  
Michelle T. Brown

Background Writing is an essential literacy skill; however, public school students often receive inadequate writing instruction, particularly as they move into middle and high school. However, research has shown that the nature of writing tasks assigned can impact writing development and student achievement measured by standardized assessments. With the need to assess teacher efficacy, districts are increasingly using some form of value-added modeling, although researchers warn of relying solely on value-added scores to distinguish between more and less effective teachers. Purpose This study investigated the intellectual challenge of typical writing tasks and the intellectual quality of student work in classrooms of higher and lower value-added middle school English language arts teachers to understand what value-added modeling might capture in terms of writing instruction. In particular, this article investigates how higher and lower value-added teachers differ in terms of (1) the intellectual challenge of typical tasks assigned, (2) the quality of supports surrounding the tasks, and (3) the quality of student work produced. Research Design Data for this study were collected as part of a larger study that identified pairs of middle school ELA teachers within the same school who were in their third through fifth years of teaching. Within each school, we identified at least one teacher in the fourth (top) quartile and one in the second (lower) quartile based on their measures of value-added to student achievement. We analyzed the typical and challenging writing tasks and corresponding student work for the intellectual quality, looking within and across the two groups of teachers to document patterns of instructional practices. Conclusions We found differences in the consistency of challenge and scaffolds between the two groups, with higher value-added teachers more consistently providing challenging and supportive tasks. Teachers whose typical writing tasks maintain a high degree of challenge are associated with higher student performance, as defined by a measure of teacher value-added. This implies the importance of educating teachers regarding the importance and nature of challenging assignments.


2018 ◽  
Vol 40 (3) ◽  
pp. 359-381 ◽  
Author(s):  
Se Woong Lee

This study examines the relationship between two dominant measures of teacher quality, teacher qualification and teacher effectiveness (measured by value-added modeling), in terms of their influence on students’ short-term academic growth and long-term educational success (measured by bachelor’s degree attainment). As students are exposed to teachers of varying quality over the course of their schooling, this study computes cumulative teacher quality indices that are able to more precisely estimate the impact of teacher quality. Notably, this study found that students who had been taught by a succession of high-performing and qualified teachers tend to have a positive relationship with students’ short- and long-term educational success.


2019 ◽  
Vol 80 (2) ◽  
pp. 365-388
Author(s):  
Joshua Marland ◽  
Matthew Harrick ◽  
Stephen G. Sireci

Student assessment nonparticipation (or opt out) has increased substantially in K-12 schools in states across the country. This increase in opt out has the potential to impact achievement and growth (or value-added) measures used for educator and institutional accountability. In this simulation study, we investigated the extent to which value-added measures of teacher quality are affected as a result of varying degrees of opt out, as well as a result of various types of nonrandom opt out. Results show that the magnitude of opt out and choice of classification scheme has a greater impact on value-added estimates than the type of opt-out patterns simulated in this study. Specifically, root mean square differences in value-added estimates increased as magnitude of opt out increased. In addition, teacher effectiveness classification agreement decreased as opt out magnitude increased. One type of opt out, where the highest achieving students in the highest achieving classrooms opted out, had the largest impact on stability than the other types of opt outs.


2014 ◽  
Vol 116 (1) ◽  
pp. 1-32 ◽  
Author(s):  
Clarin Collins ◽  
Audrey Amrein-Beardsley

Background Within the last few years, the focus on educational accountability has shifted from holding students responsible for their own performance to holding those shown to impact student performance responsible—students’ teachers. Encouraged and financially incentivized by federal programs, states are becoming ever more reliant on statistical models used to measure students’ growth or value added and are attributing such growth (or decline) to students’ teachers of record. As states continue to join the growth and value-added model movement, it is difficult to find inclusive resources documenting the types of models used and plans for each state. Objective To capture state initiatives in this area, researchers collected data from all 50 states and the District of Columbia to provide others with an inclusive national growth and value-added model overview. Data yielded include information about the types of growth or value-added models used in each state, the legislature behind each state's reform efforts, the standardized tests used for growth or value-added calculations, and the strengths and weaknesses of each state's models as described by state personnel. Method This article synthesizes qualitative and quantitative themes as identified from data collected via multiple phone interviews and emails with state department of education personnel in charge of their own state's initiatives in this area, as well as state websites. These data provide the most inclusive and up-to-date resource on national growth and value-added data usage, noting however that this is changing rapidly across the nation, given adjustments in policies, pieces of legislation, and the like. Conclusions Findings from this study provide a one-stop resource on what each state has in place or in development regarding growth or value-added model use as a key component of its state-based teacher evaluation systems. Despite widespread use, however, not one state has yet articulated a plan for formative data use by teachers. Federal and state leaders seem to assume that implementing growth and value-added models leads to simultaneous data use by teachers. In addition, state representatives expressed concern that the current emphasis on growth and value-added models could be applied to only math and English/language arts teachers with state standardized assessments (approximately 30% of all teachers). While some believe the implementation of the Common Core State Standards and its associated tests will help to alleviate such issues with fairness, more research is needed surrounding (the lack of) fairness and formative use associated with growth and value-added models.


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