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Stouffer, Joe – Reading Teacher, 2021
Responding to recent challenges to Clay's Running Records (2019) and their analysis using a three-cueing system, the author examines this reading assessment from an additive perspective of both bottom-up and top-down orientations of reading instruction. Endorsing their inclusion among classroom reading assessments, the author navigates the tension…
Descriptors: Reading Instruction, Evaluation Methods, Student Evaluation, Reading Fluency
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Barone, Jennifer; Khairallah, Pamela; Gabriel, Rachael – Reading Teacher, 2020
Running records can be the assessments that teachers are looking for when searching for an efficient way to plan meaningful literacy instruction. Running records can give teachers immediate insights to guide on-the-fly prompting and teaching decisions to build reader independence. The authors use classroom examples to illustrate how taking and…
Descriptors: Literacy Education, Reading Instruction, Progress Monitoring, Error Patterns
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Yang, Shitao; Black, Ken – Teaching Statistics: An International Journal for Teachers, 2019
Summary Employing a Wald confidence interval to test hypotheses about population proportions could lead to an increase in Type I or Type II errors unless the hypothesized value, p0, is used in computing its standard error rather than the sample proportion. Whereas the Wald confidence interval to estimate a population proportion uses the sample…
Descriptors: Error Patterns, Evaluation Methods, Error of Measurement, Measurement Techniques
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Chakraborty, Udit Kr.; Konar, Debanjan; Roy, Samir; Choudhury, Sankhayan – Education and Information Technologies, 2016
Evaluating Learners' Response in an e-Learning environment has been the topic of current research in areas of Human Computer Interaction, e-Learning, Education Technology and even Natural Language Processing. The current paper presents a twofold strategy to evaluate single word response of a learner in an e-Learning environment. The response of…
Descriptors: Spelling, Electronic Learning, Student Reaction, Error Patterns
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Yell, Mitchell L.; Katsiyannis, Antonis; Ennis, Robin Parks; Losinski, Mickey; Christle, Christine A. – TEACHING Exceptional Children, 2016
The purpose of this article is to discuss major substantive errors that school personnel may make when developing students' Individualized Education Programs (IEPs). School IEP team members need to understand the importance of the procedural and substantive requirements of the IEP, have an awareness of the five serious substantive errors that IEP…
Descriptors: Individualized Education Programs, Program Development, Teamwork, Participative Decision Making
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Tay, Louis; Drasgow, Fritz – Educational and Psychological Measurement, 2012
Two Monte Carlo simulation studies investigated the effectiveness of the mean adjusted X[superscript 2]/df statistic proposed by Drasgow and colleagues and, because of problems with the method, a new approach for assessing the goodness of fit of an item response theory model was developed. It has been previously recommended that mean adjusted…
Descriptors: Test Length, Monte Carlo Methods, Goodness of Fit, Item Response Theory
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Lian, Lim Hooi; Yew, Wun Thiam – International Education Studies, 2012
Algebraic solving ability had been discussed by many educators and researchers. There exists no definite definition for algebraic solving ability as it can be viewed from different perspectives. In this paper, the nature of algebraic solving ability in terms of algebraic processes that demonstrate the ability in solving algebraic problem is…
Descriptors: Algebra, Mathematics Skills, Problem Solving, Evaluation Methods
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Gardenier, George H.; Gui, Feng; Demas, James N. – Journal of Chemical Education, 2011
Complex error propagation is reduced to formula and data entry into a Mathcad worksheet or an Excel spreadsheet. The Mathcad routine uses both symbolic calculus analysis and Monte Carlo methods to propagate errors in a formula of up to four variables. Graphical output is used to clarify the contributions to the final error of each of the…
Descriptors: Monte Carlo Methods, Computer Software, Calculus, Mathematics Education
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Haardorfer, Regine; Gagne, Phill – Focus on Autism and Other Developmental Disabilities, 2010
Some researchers have argued for the use of or have attempted to make use of randomization tests in single-subject research. To address this tide of interest, the authors of this article describe randomization tests, discuss the theoretical rationale for applying them to single-subject research, and provide an overview of the methodological…
Descriptors: Research Design, Researchers, Evaluation Methods, Research Methodology
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Lee, Cheng-Yuan; Cherner, Todd Sloan – Journal of Information Technology Education: Research, 2015
There is a pressing need for an evaluation rubric that examines all aspects of educational apps designed for instructional purposes. In past decades, many rubrics have been developed for evaluating educational computer-based programs; however, rubrics designed for evaluating the instructional implications of educational apps are scarce. When an…
Descriptors: Instructional Material Evaluation, Educational Technology, Scoring Rubrics, Evaluation Methods
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Chesbro, Robert – Science Scope, 2010
Too many multiple-choice tests are administered without an evaluative component. Teachers often return student assessments or Scantron cards--computerized bubble forms--without review, assuming that the printing of the correct answer will suffice. However, a more constructivist approach to follow up multiple-choice tests can make for more…
Descriptors: Constructivism (Learning), Multiple Choice Tests, Educational Strategies, Evaluation Methods
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Eisenkraft, Arthur; Eisenkraft, Noah – Journal of College Science Teaching, 2011
To find out whether the education community shares a collective understanding about how students should be evaluated, we surveyed 202 educators (from all grade levels) and scientists attending assessment workshops (Pennsylvania, California, and Massachusetts) or judging a national student competition (Washington, DC). The educators and scientists…
Descriptors: Student Evaluation, Scientists, Grades (Scholastic), Grading
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Choi, Jaehwa; Fan, Weihua; Hancock, Gregory R. – Multivariate Behavioral Research, 2009
This note suggests delta method implementations for deriving confidence intervals for a latent mean effect size measure for the case of 2 independent populations. A hypothetical kindergarten reading example using these implementations is provided, as is supporting LISREL syntax. (Contains 1 table.)
Descriptors: Intervals, Syntax, Effect Size, Evaluation Methods
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Andrew, Lane – PRIMUS, 2009
The fact that students have difficulties in constructing proofs is well documented. However, some of these difficulties may be lessened if instructors and students have access to a common evaluation framework. Operating in the theoretical tradition of heuristic inquiry, a proof error evaluation tool (PEET) is constructed that may be used by…
Descriptors: Feedback (Response), Evaluation Methods, Validity, Mathematical Logic
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Cai, Li; Hayes, Andrew F. – Journal of Educational and Behavioral Statistics, 2008
When the errors in an ordinary least squares (OLS) regression model are heteroscedastic, hypothesis tests involving the regression coefficients can have Type I error rates that are far from the nominal significance level. Asymptotically, this problem can be rectified with the use of a heteroscedasticity-consistent covariance matrix (HCCM)…
Descriptors: Least Squares Statistics, Error Patterns, Error Correction, Computation
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