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Seftor, Neil; Shannon, Lisa; Wilkerson, Stephanie; Klute, Mary – Regional Educational Laboratory Appalachia, 2021
Classification and Regression Tree (CART) analysis is a statistical modeling approach that uses quantitative data to predict future outcomes by generating decision trees. CART analysis can be useful for educators to inform their decision-making. For example, educators can use a decision tree from a CART analysis to identify students who are most…
Descriptors: Flow Charts, Decision Making, Statistical Analysis, Data Use
Humphrey, Stephen E., Ed.; LeBreton, James M., Ed. – APA Books, 2019
Organizational relationships are complex. Employees do their work as individuals, but also as members of larger teams. They exist within various social networks, both within and spanning organizations. Multilevel theory is at the core of the organizational sciences, and unpacking multilevel relationships is fundamental to the challenges faced…
Descriptors: Hierarchical Linear Modeling, Theories, Institutional Research, Social Networks
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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
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Cox, Bradley E.; Nachman, Brett Ranon – Journal of Postsecondary Education and Disability, 2020
This paper provides practical guidance for scholars and practitioners looking to develop more rigorous, comprehensive, and inclusive research that could guide proactive efforts to improve access, experiences, and outcomes for college students with disabilities. To do so, we (a) identify critical challenges affecting research and assessment related…
Descriptors: College Students, Students with Disabilities, Statistical Analysis, Student Evaluation
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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
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
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Lohr, Sharon; Schochet, Peter Z.; Sanders, Elizabeth – National Center for Education Research, 2014
Suppose an education researcher wants to test the impact of a high school drop-out prevention intervention in which at-risk students attend classes to receive intensive summer school instruction. The district will allow the researcher to randomly assign students to the treatment classes or to the control group. Half of the students (the treatment…
Descriptors: Educational Research, Research Design, Data Analysis, Intervention
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Burns, Shelley, Ed.; Wang, Xiaolei, Ed.; Henning, Alexandra, Ed. – National Center for Education Statistics, 2011
Since its inception, the National Center for Education Statistics (NCES) has been committed to the practice of documenting its statistical methods for its customers and of seeking to avoid misinterpretation of its published data. The reason for this policy is to assure customers that proper statistical standards and techniques have been observed,…
Descriptors: National Surveys, Data Processing, Statistical Data, Data Collection
Morehouse, Richard – Routledge, Taylor & Francis Group, 2011
"Beginning Interpretive Inquiry" importantly makes the distinction between the use of "inquiry" rather than interpretive research or interpretive evaluation. Richard Morehouse explores how inquiry is a far more inclusive concept that allows for a detailed understanding of both research and evaluation. The author draws on his personal experiences…
Descriptors: Research Methodology, Data Analysis, Educational Research, Data Collection
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What Works Clearinghouse, 2014
This "What Works Clearinghouse Procedures and Standards Handbook (Version 3.0)" provides a detailed description of the standards and procedures of the What Works Clearinghouse (WWC). The remaining chapters of this Handbook are organized to take the reader through the basic steps that the WWC uses to develop a review protocol, identify…
Descriptors: Educational Research, Guides, Intervention, Classification
Brese, Falk; Jung, Michael; Mirazchiyski, Plamen; Schulz, Wolfram; Zuehlke, Olaf – International Association for the Evaluation of Educational Achievement, 2011
The International Civic and Citizenship Education Study (ICCS) 2009 studied the ways in which countries prepare their young people to undertake their roles as citizens. ICCS 2009 was based on the premise that preparing students for citizenship roles involves helping them develop relevant knowledge and understanding and form positive attitudes…
Descriptors: Foreign Countries, Civics, Citizenship Education, Academic Achievement
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Boller, Kimberly; Kisker, Ellen Eliason – Regional Educational Laboratory, 2014
This guide is designed to help researchers make sure that their research reports include enough information about study measures so that readers can assess the quality of the study's methods and results. The guide also provides examples of write-ups about measures and suggests resources for learning more about these topics. The guide assumes…
Descriptors: Research Reports, Research Methodology, Educational Research, Check Lists
Academic Senate for California Community Colleges, 2010
The use of data for making educational decisions and to assess educational outcomes has been legislated by political bodies and codified by accreditation. Faculty have always used data to inform the grading process--data is gathered throughout the term to inform the letter grade assigned at the end. However, in today's educational environment,…
Descriptors: Community Colleges, College Faculty, Data, Decision Making
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What Works Clearinghouse, 2012
This document provides guidance about how to describe studies and report their findings in a way that is clear, complete, and transparent. This document does not include information about how studies are judged against What Works Clearinghouse evidence standards. For information about What Works Clearinghouse evidence standards, please refer to…
Descriptors: Intervention, Research Reports, Educational Research, Guides
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