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Thompson, Greg; Rutkowski, Leslie; Rutkowski, David – Phi Delta Kappan, 2023
Those asked to make valid decisions with data don't have the technical knowledge to understand nuance around data quality, assessment aims, and statistical limitations that influence how they should interpret the data. This reality is what Greg Thompson, Leslie Rutkowski, and David Rutkowski call the validity paradox. Educators can surmount this…
Descriptors: Validity, Decision Making, Data Use, Educational Assessment
Hamilton, Valerie; Onder, Yasemin; Andzik, Natalie R.; Reeves, Todd D. – Journal of Psychoeducational Assessment, 2022
Teacher data-driven decision making (DDDM) is a professional practice of great prominence in the current K-12 education system. Moreover, teacher self-efficacy and anxiety around DDDM represent important measurement targets in both research and practice. This study consequently examined the validity, reliability, and invariance of data collected…
Descriptors: Data Use, Decision Making, Anxiety, Self Efficacy
Christopher H. Tienken; Jennifer Timmer; Li Kang; Sean Cronin; Tara Thomas; Ryan Gorman; Elizabeth Nunez – AASA, The School Superintendent's Association, 2025
The 2024-2025 AASA Superintendent Salary & Benefits Study marks the thirteenth consecutive edition of this report. The national survey tracked the demographics, salary, benefits, and other elements of the employment agreements of school superintendents throughout the country. This year's study results are based on 2,077 complete responses. The…
Descriptors: Superintendents, National Surveys, Fringe Benefits, Administrator Surveys
Egan, Cate A.; Merica, Christopher B.; Paul, David R.; Bond, Laura; Rose, Seth; Martin, Andrew; Vella, Chantal – Health Education Journal, 2023
Objectives: In the USA, 18% of school-aged young people are classified as obese, and rural populations appear to be particularly at risk. Achieving high levels of fitness reduces the risk of obesity and underlying health conditions. To better understand youth obesity trends and fitness levels, annual fitness testing ([FT], that is, surveillance)…
Descriptors: Physical Fitness, Health Behavior, Teacher Attitudes, Distance Education
Polikoff, Morgan S.; Gasparian, Hovanes; Korn, Shira; Gamboa, Martin; Porter, Andrew C.; Smith, Toni; Garet, Michael S. – Educational Measurement: Issues and Practice, 2020
As the standards movement continues into its third decade, there remains a need for alignment methodologies that can be broadly applied to study instruction and policy. This article reports on a series of development efforts meant to revise the Surveys of Enacted Curriculum (SEC) surveys and methods to study the implementation of new college- and…
Descriptors: Alignment (Education), Surveys, College Readiness, Career Readiness
Smith, Peter K.; Lopez-Castro, Leticia – International Journal of Developmental Science, 2017
Until recently, there were four sources of large-scale self-report survey data on victim rates, cross-nationally: EU Kids Online, Global School Health Survey, Trends in International Mathematics and Science Study, and Health Behaviour of School-aged Children. Smith, Robinson, and Marchi (2016) examined the internal validity and external validity…
Descriptors: Bullying, Victims, Data, Foreign Countries
Polikoff, Morgan S.; Gasparian, Hovanes; Korn, Shira; Gamboa, Martin; Porter, Andrew C.; Smith, Toni; Garet, Michael S. – Grantee Submission, 2019
As the standards movement continues into its third decade, there remains a need for alignment methodologies that can be broadly applied to study instruction and policy. This article reports on a series of development efforts meant to revise the Surveys of Enacted Curriculum (SEC) surveys and methods to study the implementation of new college- and…
Descriptors: Alignment (Education), Surveys, College Readiness, Career Readiness
Reform Support Network, 2013
The purpose of this document is to serve as a reference guide for States involved in the P-20 effort to map data elements to the Common Education Data Standards (CEDS). It describes how one State used Align to assist in development of its P-20 system and describes in detail how this project could be replicated. The CEDS provide a shared vocabulary…
Descriptors: Data, Standards, College School Cooperation, Alignment (Education)
Smith, Peter K.; Robinson, Susanne; Marchi, Barbara – International Journal of Developmental Science, 2016
There are four sources of large-scale self-report survey data on victim rates, cross-nationally. These are EU Kids Online, Global School Health Survey, Trends in International Mathematics and Science Study, and Health Behaviour of School-aged Children. There are some differences in methodology between these surveys, but all use pupil self-report…
Descriptors: Victims, Bullying, Achievement Tests, Elementary Secondary Education
Regional Educational Laboratory Mid-Atlantic, 2014
Root cause analysis is a powerful method schools use to analyze data to solve problems; it aims to identify and correct the root causes of problems or events, rather than simply addressing their symptoms. In this webinar, veteran practitioner, Roni Silverstein, talked about the value of this process and practical ways to use it in your school or…
Descriptors: Data Analysis, Problem Solving, Academic Achievement, Validity
Porter, Kristin E.; Balu, Rekha – MDRC, 2016
Education systems are increasingly creating rich, longitudinal data sets with frequent, and even real-time, data updates of many student measures, including daily attendance, homework submissions, and exam scores. These data sets provide an opportunity for district and school staff members to move beyond an indicators-based approach and instead…
Descriptors: Models, Prediction, Statistical Analysis, Elementary Secondary Education
Welsch, David M.; Zimmer, David M. – Education Finance and Policy, 2015
This paper draws attention to a subtle, but concerning, empirical challenge common in panel data models that seek to estimate the relationship between student transfers and district academic performance. Specifically, if such models have a dynamic element, and if the estimator controls for unobserved traits by including district-level effects,…
Descriptors: Transfer Students, Academic Achievement, Feedback (Response), School Districts
Bill & Melinda Gates Foundation, 2013
Teachers want to succeed, but they typically lack the conditions for success. Teachers generally work in isolation. They're on their own to adjust practice to better serve students. What guidance they get often is plagued by vague teaching standards, overly numerous and often trivial learning objectives, and testing systems that measure only some…
Descriptors: Teacher Effectiveness, Feedback (Response), Teacher Evaluation, Measures (Individuals)
Ross, Christine; Herrmann, Mariesa; Angus, Megan Hague – Regional Educational Laboratory Mid-Atlantic, 2015
The purpose of this study was to describe the measures used to evaluate principals in New Jersey in the first (pilot) year of the new principal evaluation system and examine three of the statistical properties of the measures: their variation among principals, their year-to-year stability, and the associations between these measures and the…
Descriptors: Principals, Administrator Effectiveness, Performance Based Assessment, Administrator Evaluation
Hamilton, Laura S.; Steiner, Elizabeth D.; Holtzman, Deborah; Fulbeck, Eleanor S.; Robyn, Abby; Poirier, Jeffrey; O'Neil, Caitlin – RAND Corporation, 2014
This report describes the implementation of professional development (PD) reforms and efforts to use teacher effectiveness (TE) data to inform PD through the third year of the initiative for all seven sites: Hillsborough County Public Schools (HCPS), Shelby County Schools (SCS, formerly Memphis City Schools), Pittsburgh Public Schools (PPS), and…
Descriptors: Teacher Evaluation, Data, Faculty Development, Teacher Effectiveness

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