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Center for IDEA Early Childhood Data Systems (DaSy), 2019
The long-term goal of the State Systemic Improvement Plan (SSIP) and other federal and state early intervention and early childhood education initiatives is improved child and family outcomes. States play a critical role in supporting practitioners in the use of evidence-based practices to improve child and family outcomes. When practitioners…
Descriptors: Evidence Based Practice, Early Intervention, Early Childhood Education, Data Collection
McLaughlin, Jacqueline E.; McLaughlin, Gerald W.; McLaughlin, Josetta – Journal of Higher Education Policy and Management, 2015
The role and impact of diversity in higher education has permeated conversations about student access and achievement for many years. Language articulated by various courts suggests that higher education policies should reflect a broad conceptualisation of diversity beyond that of the magnitude and proportion of race and ethnicity, yet…
Descriptors: Student Diversity, Higher Education, Measurement Techniques, Court Litigation
Sanzo, Karen – International Journal of Education Policy and Leadership, 2016
This article presents a content analysis of the 2013 School Leadership Program (SLP) grants. SLP projects provide a unique opportunity for participants in the field to explore innovative leadership preparation and development and their impact on program participants, schools, school districts, and students. The article begins with an overview of…
Descriptors: Program Evaluation, Program Proposals, Leadership Training, Administrator Education
Rennie Center for Education Research & Policy, 2020
This year's Action Guide examines the need for new ways of measuring student success. Academic test scores are just one method of measuring student progress, offering an incomplete picture of student learning and growth. Educators and state leaders recognize that serving all students well requires focusing on their individual needs, including…
Descriptors: Academic Achievement, Educational Assessment, Measurement, Measurement Objectives
American Institutes for Research, 2014
This tool and its supporting resources are intended to help education leaders understand and assess equitable access data to support a root-cause analysis and, ultimately, draft a State Plan to Ensure Equitable Access to Excellent Educators. The activities in this tool introduce metrics, address staff capacity for analyzing equitable access data,…
Descriptors: Data, Access to Information, State Policy, Guidelines
Azevedo, Roger – Educational Psychologist, 2015
Engagement is one of the most widely misused and overgeneralized constructs found in the educational, learning, instructional, and psychological sciences. The articles in this special issue represent a wide range of traditions and highlight several key conceptual, theoretical, methodological, and analytical issues related to defining and measuring…
Descriptors: Definitions, Learner Engagement, Science Achievement, Concept Formation
Duan, Lian – ProQuest LLC, 2012
Finding the most interesting correlations among items is essential for problems in many commercial, medical, and scientific domains. For example, what kinds of items should be recommended with regard to what has been purchased by a customer? How to arrange the store shelf in order to increase sales? How to partition the whole social network into…
Descriptors: Correlation, Measurement, Measurement Techniques, Measurement Objectives
Adwere-Boamah, Joseph – Research in Higher Education Journal, 2013
Colleges and universities increasingly voice a concern for, and dedicate institutional attention to ethnic "diversity" within their student population, a trend that aligns with broader concerns about social (in-)equity in US Elementary and Secondary schools. Current operational definition of diversity focuses on demographic variety of…
Descriptors: Enrollment Trends, Student Diversity, Ethnic Diversity, Proximity
Boone, Harry N., Jr.; Boone, Deborah A. – Journal of Extension, 2012
This article provides information for Extension professionals on the correct analysis of Likert data. The analyses of Likert-type and Likert scale data require unique data analysis procedures, and as a result, misuses and/or mistakes often occur. This article discusses the differences between Likert-type and Likert scale data and provides…
Descriptors: Likert Scales, Data Analysis, Extension Agents, Extension Education
Cope, Bill; Kalantzis, Mary – Open Review of Educational Research, 2015
This article sets out to explore a shift in the sources of evidence-of-learning in the era of networked computing. One of the key features of recent developments has been popularly characterized as "big data". We begin by examining, in general terms, the frame of reference of contemporary debates on machine intelligence and the role of…
Descriptors: Data Analysis, Evidence, Computer Uses in Education, Artificial Intelligence
Monroe, Scott; Cai, Li – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2013
In Ramsay curve item response theory (RC-IRT, Woods & Thissen, 2006) modeling, the shape of the latent trait distribution is estimated simultaneously with the item parameters. In its original implementation, RC-IRT is estimated via Bock and Aitkin's (1981) EM algorithm, which yields maximum marginal likelihood estimates. This method, however,…
Descriptors: Item Response Theory, Maximum Likelihood Statistics, Statistical Inference, Models
Karrie A. Shogren; Mauricio Garnier Villarreal – Journal of Special Education, 2015
The purpose of this study was to use data from the National Longitudinal Transition Study-2 (NLTS2) to (a) conceptually identify and empirically establish student, family, and school constructs; (b) explore the degree to which the constructs can be measured equivalently across disability groups; and (c) examine latent differences (means,…
Descriptors: Longitudinal Studies, Construct Validity, Disabilities, Statistical Data
McCullough, B. D.; Radson, Darrell – Evaluation & Research in Education, 2011
Student Evaluations of Teaching (SETs) play a central role in modern academia. They are used for tenure, promotion, teaching improvement and other important decisions. One would think that the data collected from a SET would be analysed correctly, but such is typically not the case, as can be seen in this study later. Therefore we propose a…
Descriptors: Student Evaluation of Teacher Performance, Teaching Methods, Data Analysis, Evaluation Methods
McGrath, Helen; O'Toole, Thomas – European Journal of Training and Development, 2012
Purpose: The main aim of this paper is to develop guidelines on the critical issues to consider in research design in an action research (AR) environment for SME network capability development. Design/methodology/approach: The issues in research design for AR studies are developed from the authors' experience in running learning sets but, in…
Descriptors: Research Design, Action Research, Research Methodology, Data Analysis
Strizek, Gregory A.; Tourkin, Steve; Erberber, Ebru – National Center for Education Statistics, 2014
This technical report is designed to provide researchers with an overview of the design and implementation of the Teaching and Learning International Survey (TALIS) 2013. This information is meant to supplement that presented in OECD publications by describing those aspects of TALIS 2013 that are unique to the United States. Chapter 2 provides…
Descriptors: Learning, Instruction, Research Design, Program Implementation