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Designing Multisite Mediation Studies to Track Teacher Development Processes in Mathematics

Designing Multisite Mediation Studies to Track Teacher Development Processes in Mathematics
设计多站点中介研究来跟踪教师数学发展过程
批准号:
1760884
负责人:
Benjamin Kelcey
金额:
$50.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-01 至 2024-08-31

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中文摘要
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英文摘要
There is widespread recognition that research on malleable teacher attributes represents a critical component of the foundational knowledge necessary to improve and advance STEM education. A method of research to understand how teachers affect students is mediation analyses. Mediation analyses decode how and why attributes are connected to student improvement by probing the intermediate developmental processes and behaviors of teachers that operationalize these relationships. Multi-school or multisite mediation studies can build a multilayered body of evidence regarding if, how, and why specific attributes help improve student outcomes. They can delineate how interventions (e.g., through professional development programs) might improve both teacher and student outcomes. They can concurrently map out teacher development processes, create opportunities to discover, unpack and learn about variation in these processes, and accommodate naturally occurring variation within schools. Unfortunately, there are scant literature and tools available on methods and strategies to intentionally design effective and efficient multi-school mediation studies in the context of teacher development and effectiveness. In this project, this line of inquiry will be enhanced by developing a theoretical and empirical framework for multi-school mediation studies. The proposed work aims to derive useful tools, that is new statistical estimators, principles, and strategies for multisite designs that are widely applicable across STEM areas. It also intends to develop empirically-based strategies and software for studies of teacher development in mathematics. These tools integrate four key components: (a) the development of statistical estimators to direct the design of observational and experimental multisite studies of mediation, (b) the development of an empirical basis from which to operationalize these strategies for a rich array of teacher development processes, (c) the development of free and accessible software to implement these results, and (d) the development of training materials to improve the capacity of the field.This project aims to develop a framework to direct the effective and efficient design of multisite mediation studies of teacher development in mathematics. A suite of tools--statistical, empirical, software, and training--will be developed to prospectively design and implement multisite mediation teacher development studies so that they are positioned to produce effective, efficient, and comprehensive evidence. The work partitions into three components. The first component aims to develop the statistical theory underlying the effective and efficient design of multisite mediation studies and has four objectives: (a) derive statistical power estimators for multisite mediation in observational and experimental designs, (b) extend these formulas to accommodate moderators of the mediation processes (under heterogeneous teacher development processes), (c) extend these formulas to include covariates, and (d) derive formulas to identify the optimal (most powerful) sampling plans given constraints. The second component will apply the resulting statistical theory to the study of teacher development in mathematics. The project intends to develop empirical estimates of the parameters needed to design teacher development studies by conducting a meta-analysis on a rich array of teacher attributes and mediators in mathematics education. Specifically, the project plans to develop (a) empirical estimates of the necessary parameters for numerous teacher and student variables and (b) empirically-based guidelines and strategies for improving the efficacy of multisite teacher development studies. The final component is the development of software to carry out the above formulas and calculations using free and user-friendly software and workshops to train a broad range of researchers. Ultimately, this project seeks to improve the scope and quality of evidence produced by mediation studies of teacher development. The core platform is intended to be transferable to other STEM education areas and STEM disciplines. Moreover, the software and workshops developed in this project are intended to be used to distribute the results in an accessible manner to broad and diverse sets of research and practitioner groups across STEM education areas and STEM disciplines. Thus, this project has the potential to substantially expand the scope and quality of evidence generated through mathematics teacher development studies and, more generally, multisite mediation studies throughout STEM areas. This potential exists as this work increases researchers' capacity to design effective, efficient, and comprehensive studies. This project is supported by the Division of Undergraduate Education's Improving Undergraduate STEM Education program as a Development and Implementation project.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(30)
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会议论文
Croon’s Bias Corrected Estimation for Multilevel Structural Equation Models with Non-Normal Indicators and Model Misspecifications.
Croon 偏差修正了具有非正态指标和模型错误指定的多级结构方程模型的估计。
DOI: --
发表时间: 2023
期刊: Educational and psychological measurement
影响因子: 2.7
作者: [Cox, K. &]
通讯作者: Cox, K. &
Statistical Power For Linear Multilevel Models
线性多级模型的统计功效
DOI: --
发表时间: 2022
期刊: Information age
影响因子: --
作者: [Spybrook, Kelcey]
通讯作者: Spybrook, Kelcey
Optimal sample allocation under unequal costs in cluster-randomized trials
整群随机试验中不等成本下的最优样本分配
DOI: 10.3102/1076998620912418
发表时间: 2020
期刊: Journal of educational and behavioral statistics
影响因子: 2.4
作者: [Shen, Z. &]
通讯作者: Shen, Z. &
Teacher Mathematical Knowledge, Instructional Quality, and Student Outcomes: A Multilevel Mediation Analysis.
教师数学知识、教学质量和学生成绩:多层次中介分析。
DOI: 10.1080/09243453.2019.1570944
发表时间: 2019
期刊: School effectiveness and school improvement
影响因子: 3
作者: [Kelcey, B., Hill, H., Chin, M.]
通讯作者: Chin, M.
27
    An Explanatory Machine Learning Framework for Teacher Effectiveness in STEM Education
    • 批准号:
      2321191
    • 项目类别:
      Standard Grant
    • 资助金额:
      $35.0万
    • 财政年份:
      2024
    • 负责人:
      Benjamin Kelcey
    • 依托单位:
    CAREER: Multilevel Mediation Models to Study the Impact of Teacher Development on Student Achievement in Mathematics
    • 批准号:
      1552535
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $67.91万
    • 财政年份:
      2016
    • 负责人:
      Benjamin Kelcey
    • 依托单位:
    Collaborative Research: Power Analyses for Moderator and Mediator Effects in Cluster Randomized Trials
    • 批准号:
      1437679
    • 项目类别:
      Standard Grant
    • 资助金额:
      $28.99万
    • 财政年份:
      2014
    • 负责人:
      Benjamin Kelcey
    • 依托单位:
    Empirical Benchmarks of Design Parameters for Group Randomized Trials in Teacher Professional Development Intervention Studies
    • 批准号:
      1405601
    • 项目类别:
      Standard Grant
    • 资助金额:
      $47.6万
    • 财政年份:
      2013
    • 负责人:
      Benjamin Kelcey
    • 依托单位:
    海外基金