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What Works Clearinghouse Rating
What Works Clearinghouse, 2018
Underlying all What Works Clearinghouse (WWC) products are WWC Study Review Guides, which are intended for use by WWC certified reviewers to assess studies against the WWC evidence standards. As part of an ongoing effort to increase transparency, promote collaboration, and encourage widespread use of the WWC standards, the Institute of Education…
Descriptors: Guides, Research Design, Research Methodology, Program Evaluation
Culbertson, Michael J.; Billig, Shelley H. – Regional Educational Laboratory Central, 2016
Rural districts have long faced challenges in closing achievement gaps between subgroups of students. This brief report describes key decision points and considerations for decision-makers interested in identifying rural districts that have closed academic achievement gaps. Examining practices in these districts may suggest activities associated…
Descriptors: Rural Schools, School Districts, Academic Achievement, Achievement Gap
Thissen, David – Measurement: Interdisciplinary Research and Perspectives, 2015
In "Using Learning Progressions to Design Vertical Scales that Support Coherent Inferences about Student Growth" (hereafter ULR), Briggs and Peck suggest that learning progressions could be used as the basis of vertical scales with naturally benchmarked descriptions of student proficiency. They propose and provide a single example of a…
Descriptors: Academic Achievement, Achievement Gains, Achievement Rating, Psychometrics
Arzumanyan, George; Halcoussis, Dennis; Phillips, G. Michael – American Journal of Business Education, 2015
This paper presents the Agresti & Coull "Adjusted Wald" method for computing confidence intervals and margins of error for common proportion estimates. The presented method is easily implementable by business students and practitioners and provides more accurate estimates of proportions particularly in extreme samples and small…
Descriptors: Business Administration Education, Error of Measurement, Error Patterns, Intervals
Teo, Timothy – Music Education Research, 2010
Structural equation modelling (SEM) is a method for analysis of multivariate data from both non-experimental and experimental research. The method combines a structural model linking latent variables and a measurement model linking observed variables with latent variables. Its use in social science and educational research has grown since the…
Descriptors: Music Education, Educational Research, Structural Equation Models, Research Methodology
Classification Consistency and Accuracy for Complex Assessments under the Compound Multinomial Model
Lee, Won-Chan; Brennan, Robert L.; Wan, Lei – Applied Psychological Measurement, 2009
For a test that consists of dichotomously scored items, several approaches have been reported in the literature for estimating classification consistency and accuracy indices based on a single administration of a test. Classification consistency and accuracy have not been studied much, however, for "complex" assessments--for example,…
Descriptors: Classification, Reliability, Test Items, Scoring
Bill & Melinda Gates Foundation, 2012
No one has a bigger stake in teaching effectiveness than students. Nor are there any better experts on how teaching is experienced by its intended beneficiaries. Only recently have many policymakers and practitioners come to recognize that--when asked the right questions, in the right ways--students can be an important source of information on the…
Descriptors: Student Surveys, Student Attitudes, Feedback (Response), Test Validity
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
Wagoner, Richard L.; Besikof, Rudolph J. – Community College Journal of Research and Practice, 2011
This article describes the Voluntary Support for Education (VSE) Survey, an instrument created by the Council for Aid to Education. Our objective is to explain VSE's potential value as a tool to inform both institutional and academic research regarding fund-raising activities at community colleges. Of particular interest is how the data available…
Descriptors: Fund Raising, Community Colleges, College Presidents, School Surveys
Hutchison, Dougal – Oxford Review of Education, 2008
There is a degree of instability in any measurement, so that if it is repeated, it is possible that a different result may be obtained. Such instability, generally described as "measurement error", may affect the conclusions drawn from an investigation, and methods exist for allowing it. It is less widely known that different disciplines, and…
Descriptors: Measurement Techniques, Data Analysis, Error of Measurement, Test Reliability
Tourangeau, Karen; Nord, Christine; Le, Thanh; Sorongon, Alberto G.; Najarian, Michelle – National Center for Education Statistics, 2009
This manual provides guidance and documentation for users of the eighth-grade data of the Early Childhood Longitudinal Study, Kindergarten Class of 1998-99 (ECLS-K). It begins with an overview of the ECLS-K study. Subsequent chapters provide details on the instruments and measures used, the sample design, weighting procedures, response rates, data…
Descriptors: Early Childhood Education, Kindergarten, Longitudinal Studies, Grade 8
Moerbeek, Mirjam – Journal of Educational and Behavioral Statistics, 2008
Three issues need to be decided in the design stage of a longitudinal intervention study: the number of persons, the number of repeated measurements per person, and the duration of the study. The degree to which polynomial effects vary across persons and the drop-out pattern also influence the statistical power to detect intervention effects. This…
Descriptors: Intervention, Sample Size, Research Methodology, Longitudinal Studies
Wu, Margaret – Educational Measurement: Issues and Practice, 2010
In large-scale assessments, such as state-wide testing programs, national sample-based assessments, and international comparative studies, there are many steps involved in the measurement and reporting of student achievement. There are always sources of inaccuracies in each of the steps. It is of interest to identify the source and magnitude of…
Descriptors: Testing Programs, Educational Assessment, Measures (Individuals), Program Effectiveness
Wayne, Andrew J.; Yoon, Kwang Suk; Zhu, Pei; Cronen, Stephanie; Garet, Michael S. – Educational Researcher, 2008
A strong base of research is needed to guide investments in teacher professional development (PD). This article considers the status of research on PD and articulates a particular direction for future work. Little is known about whether PD can have a positive impact on achievement when a program is delivered across a range of typical settings and…
Descriptors: Research Needs, Faculty Development, Program Effectiveness, Program Evaluation
Zou, Guang Yong – Psychological Methods, 2007
Confidence intervals are widely accepted as a preferred way to present study results. They encompass significance tests and provide an estimate of the magnitude of the effect. However, comparisons of correlations still rely heavily on significance testing. The persistence of this practice is caused primarily by the lack of simple yet accurate…
Descriptors: Intervals, Effect Size, Research Methodology, Correlation