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Hatch, Trish; Hartline, Julie – Corwin, 2021
In this new edition of a bestseller, school counseling scholar and advocate Trish Hatch and National School Counselor of the Year Julie Hartline provide school counselors with new ways for moving from reactive to proactive and from random to intentional counseling. By using data to determine what all students deserve to receive and when some…
Descriptors: School Counseling, School Counselors, Counseling Techniques, Data Use
Brion-Meisels, Gretchen; O'Neil, Eliza; Bishop, Sarah – Equity Assistance Center Region II, Intercultural Development Research Association, 2022
Before developing a school- and community-wide work plan around preventing bullying and harassment, school administrators should employ data collection tools to determine their specific areas of focus. Successful bullying prevention efforts must be driven by local data and rooted in research on effective practices. These policies must undergo…
Descriptors: Bullying, Prevention, Antisocial Behavior, Educational Practices
M. Stoehr; M. Diehl; M. Morningstar; D. Rowe; B. K. Simmons; C. Fowler; D. Lattin; J. Vicchio; E. Wall – National Technical Assistance Center on Transition: The Collaborative, 2024
The National Technical Assistance Center on Transition: the Collaborative (NTACT:C) Collaborative Assessment Guide for Transition Planning (CAG) is intended to help students, family members, educators, vocational rehabilitation counselors, human services and health agency staff, and other partners develop a coordinated assessment approach for…
Descriptors: Transitional Programs, Equal Education, Educational Legislation, Students with Disabilities
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Deke, John; Finucane, Mariel; Thal, Daniel – National Center for Education Evaluation and Regional Assistance, 2022
BASIE is a framework for interpreting impact estimates from evaluations. It is an alternative to null hypothesis significance testing. This guide walks researchers through the key steps of applying BASIE, including selecting prior evidence, reporting impact estimates, interpreting impact estimates, and conducting sensitivity analyses. The guide…
Descriptors: Bayesian Statistics, Educational Research, Data Interpretation, Hypothesis Testing
Advance CTE: State Leaders Connecting Learning to Work, 2021
With the recent reauthorization of the Strengthening Career and Technical Education for the 21st Century Act (Perkins V), unprecedented philanthropic investment in career pathways, and the urgent economic needs of the COVID-19 (coronavirus) pandemic, the career readiness field is at a critical moment in time. To meet this moment, states,…
Descriptors: Career Readiness, Career Development, Educational Legislation, Federal Legislation
Carlisle, Deborah L. – Association of Public and Land-grant Universities, 2022
This publication provides a guide for STEM Education Centers (SECs) and Centers for Teaching and Learning (CTLs) to carry out a self-assessment process focusing on their role(s) in undergraduate science, technology, engineering, mathematics (STEM) education. These resources were developed to assist centers in framing their contributions to…
Descriptors: STEM Education, Undergraduate Study, Educational Resources, Role
Kimkoff, Tamara; Fiore, Tom; Edwards, Jessica – IDEA Data Center, 2020
This guide describes key steps for developing a well-thought-out plan for evaluating a State Systemic Improvement Plan (SSIP). The guide provides considerations for how to incorporate each step into an evaluation plan, as well as a series of worksheets that correspond to each step and can be used to facilitate the planning process. The guide,…
Descriptors: Program Evaluation, Educational Improvement, State Standards, Educational Legislation
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Swank, Jacqueline M.; Mullen, Patrick R. – Measurement and Evaluation in Counseling and Development, 2017
The article serves as a guide for researchers in developing evidence of validity using bivariate correlations, specifically construct validity. The authors outline the steps for calculating and interpreting bivariate correlations. Additionally, they provide an illustrative example and discuss the implications.
Descriptors: Correlation, Construct Validity, Guidelines, Data Interpretation
Creswell, John W. – Pearson Education, Inc., 2015
"Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research" offers a truly balanced, inclusive, and integrated overview of the processes involved in educational research. This text first examines the general steps in the research process and then details the procedures for conducting specific types…
Descriptors: Educational Research, Qualitative Research, Statistical Analysis, Research Methodology
Ward, C.; Metz, A.; Louison, L.; Loper, A.; Cusumano, D. – National Implementation Research Network, 2019
The purpose of the "Drivers Best Practices Assessment" ("DBPA") is to assist organizations in assessing their current supports and resources for quality use of selected programs or practices. Specifically, organizations can use it to: (1) Identify strengths and opportunities for improvement in their current supports and…
Descriptors: Best Practices, Organizational Effectiveness, Program Effectiveness, Program Evaluation
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Malone, Nolan; Narayan, Krishna; Mark, Lauren; Miller, Kirsten; Kekahio, Wendy – Regional Educational Laboratory Pacific, 2014
As educators are increasingly called on to use data to inform improvement initiatives (and are being held accountable for doing so), there is a corresponding need for program leaders to monitor progress. Program monitoring--the systematic and continual observation and recording of key program aspects--can provide leaders with realistic assessments…
Descriptors: Program Evaluation, Leadership Role, Planning, Program Development
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Shaffer, David Williamson; Collier, Wesley; Ruis, A. R. – Journal of Learning Analytics, 2016
This paper provides a tutorial on epistemic network analysis (ENA), a novel method for identifying and quantifying connections among elements in coded data and representing them in dynamic network models. Such models illustrate the structure of connections and measure the strength of association among elements in a network, and they quantify…
Descriptors: Epistemology, Network Analysis, Data Analysis, Coding
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Akers, Lauren; Resch, Alexandra; Berk, Jillian – National Center for Education Evaluation and Regional Assistance, 2014
This guide for district and school leaders shows how to recognize opportunities to embed randomized controlled trials (RCTs) into planned policies or programs. Opportunistic RCTs can generate strong evidence for informing education decisions--with minimal added cost and disruption. The guide also outlines the key steps to conduct RCTs and responds…
Descriptors: School Districts, Educational Research, Guides, Program Evaluation
Peace Corps, 2014
Data-driven decision making is part of our everyday lives. For example, we examine our children's immunization charts in order to indicate what vaccinations they have received, as well as what vaccinations are missing and expired. We use information, like a chart, to make decisions about what to do and what not to do. Data-driven decision making…
Descriptors: Data, Decision Making, Volunteers, Training
Greer, Maureen; Kilpatrick, Jamie; Nelson, Robin; Reid, Kellen – Center for IDEA Early Childhood Data Systems (DaSy), 2014
This document provides an overview of the critical role of fiscal data in state Part C systems. This information is intended to help state Part C lead agency staff better understand strategic fiscal policy questions, the fiscal data elements needed to address those questions, and the benefits of using these data. Fiscal data provide powerful…
Descriptors: Federal Legislation, Educational Legislation, Disabilities, Equal Education
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