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In'nami, Yo; Koizumi, Rie – International Journal of Testing, 2013
The importance of sample size, although widely discussed in the literature on structural equation modeling (SEM), has not been widely recognized among applied SEM researchers. To narrow this gap, we focus on second language testing and learning studies and examine the following: (a) Is the sample size sufficient in terms of precision and power of…
Descriptors: Structural Equation Models, Sample Size, Second Language Instruction, Monte Carlo Methods
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Vannest, Kimberly J.; Parker, Richard I. – Journal of Special Education, 2010
Instructional time use is an intervention without equal. The measure of such has clear and important implications for special education practice and research. Although exhortations to maximize instruction and thereby student engagement exist throughout the literature, few studies discuss how special education teachers use their time, and none…
Descriptors: School Schedules, Error of Measurement, Sampling, Special Education Teachers
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Tourangeau, Karen; Nord, Christine; Lê, Thanh; Wallner-Allen, Kathleen; Vaden-Kiernan, Nancy; Blaker, Lisa; Najarian, Michelle – National Center for Education Statistics, 2018
This manual provides guidance and documentation for users of the longitudinal kindergarten-fourth grade (K-4) public-use data file of the Early Childhood Longitudinal Study, Kindergarten Class of 2010-11 (ECLS-K:2011), which includes the first release of the public version of the third-grade data. This manual mainly provides information specific…
Descriptors: Longitudinal Studies, Children, Surveys, Kindergarten
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Birenbaum, Menucha – Studies in Educational Evaluation, 2007
High quality assessment practice is expected to yield valid and useful score-based interpretations about what the examinees know and are able to do with respect to a defined target domain. Given this assertion, the article presents a framework based on the "unified view of validity," advanced by Cronbach and Messick over two decades ago, to assist…
Descriptors: Quality Control, Student Evaluation, Validity, Evaluation Methods
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Shavelson, Richard J.; And Others – Journal of Educational Measurement, 1993
Evidence is presented on the generalizability and convergent validity of performance assessments using data from six studies of student achievement that sampled a wide range of measurement facets and methods. Results at individual and school levels indicate that task-sampling variability is the major source of measurement error. (SLD)
Descriptors: Academic Achievement, Educational Assessment, Error of Measurement, Generalizability Theory
Haertel, Edward H. – National Assessment Governing Board, 2003
The paper initially describes the sources of uncertainty in National Assessment of Educational Progress (NAEP) data and standard errors. As NAEP sample sizes have increased, greater precision has been attained by the program. For this reason, exclusion effects are increasingly important. Two scenarios of revised NAEP results are presented (for New…
Descriptors: Error of Measurement, Computation, Disabilities, Limited English Speaking
Shavelson, Richard J.; And Others – 1993
In this paper, performance assessments are cast within a sampling framework. A performance assessment score is viewed as a sample of student performance drawn from a complex universe defined by a combination of all possible tasks, occasions, raters, and measurement methods. Using generalizability theory, the authors present evidence bearing on the…
Descriptors: Academic Achievement, Educational Assessment, Error of Measurement, Evaluators