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Plonsky, Luke; Egbert, Jesse; Laflair, Geoffrey T. – Applied Linguistics, 2015
Parametric analyses such as t tests and ANOVAs are the norm--if not the default--statistical tests found in quantitative applied linguistics research (Gass 2009). Applied statisticians and one applied linguist (Larson-Hall 2010, 2012; Larson-Hall and Herrington 2010), however, have argued that this approach may not be appropriate for small samples…
Descriptors: Applied Linguistics, Statistical Analysis, Second Language Learning, Language Research
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Mercer, Sterett H.; Lyons, Alina F.; Johnston, Lauren E.; Millhoff, Courtney L. – Assessment for Effective Intervention, 2015
Although ordinary least-squares (OLS) regression has been identified as a preferred method to calculate rates of improvement for individual students during curriculum-based measurement (CBM) progress monitoring, OLS slope estimates are sensitive to the presence of extreme values. Robust estimators have been developed that are less biased by…
Descriptors: Curriculum Based Assessment, Progress Monitoring, Regression (Statistics), Computation
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Spatar, Ciprian; Penna, Nigel; Mills, Henny; Kutija, Vedrana; Cooke, Martin – Assessment & Evaluation in Higher Education, 2015
Group work can form a substantial component of degree programme assessments. To satisfy institutional and student expectations, students must often be assigned individual marks for their contributions to the group project, typically by mapping a single holistic group mark to individual marks using peer assessment scores. Since the early 1990s,…
Descriptors: Peer Evaluation, Group Activities, Grades (Scholastic), Methods
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Ying, Qianwei; Fan, Yongmao; Luo, Danglun; Christensen, Tom – Oxford Review of Education, 2017
Scholars are aware that the higher education sector in China is highly affected by its administrative system, but the questions of how and to what extent the Chinese administrative system impacts academic resources allocation have yet to be answered. By examining the empirical data from 2003 to 2010 of China's National Excellent Doctoral…
Descriptors: Resource Allocation, Universities, Administrative Organization, College Administration
Yuan, Ke-Hai; Zhang, Zhiyong; Zhao, Yanyun – Grantee Submission, 2017
The normal-distribution-based likelihood ratio statistic T[subscript ml] = nF[subscript ml] is widely used for power analysis in structural Equation modeling (SEM). In such an analysis, power and sample size are computed by assuming that T[subscript ml] follows a central chi-square distribution under H[subscript 0] and a noncentral chi-square…
Descriptors: Statistical Analysis, Evaluation Methods, Structural Equation Models, Reliability
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Wozny, Nathan; Balser, Cary; Ives, Drew – Journal of Economic Education, 2018
Despite recent interest in flipped classrooms, rigorous research evaluating their effectiveness is sparse. In this study, the authors implement a randomized controlled trial to evaluate the effect of a flipped classroom technique relative to a traditional lecture in an introductory undergraduate econometrics course. Random assignment enables the…
Descriptors: Blended Learning, Teaching Methods, Instructional Effectiveness, Conventional Instruction
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Cooper, Barry; Glaesser, Judith – International Journal of Social Research Methodology, 2016
Ragin's Qualitative Comparative Analysis (QCA) is often used with small to medium samples where the researcher has good case knowledge. Employing it to analyse large survey datasets, without in-depth case knowledge, raises new challenges. We present ways of addressing these challenges. We first report a single QCA result from a configurational…
Descriptors: Social Science Research, Robustness (Statistics), Educational Sociology, Comparative Analysis
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Tanner-Smith, Emily E.; Tipton, Elizabeth – Research Synthesis Methods, 2014
Methodologists have recently proposed robust variance estimation as one way to handle dependent effect sizes in meta-analysis. Software macros for robust variance estimation in meta-analysis are currently available for Stata (StataCorp LP, College Station, TX, USA) and SPSS (IBM, Armonk, NY, USA), yet there is little guidance for authors regarding…
Descriptors: Robustness (Statistics), Effect Size, Computer Software, Tutorial Programs
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Castellano, Katherine E.; Ho, Andrew D. – Journal of Educational and Behavioral Statistics, 2015
Aggregate-level conditional status metrics (ACSMs) describe the status of a group by referencing current performance to expectations given past scores. This article provides a framework for these metrics, classifying them by aggregation function (mean or median), regression approach (linear mean and nonlinear quantile), and the scale that supports…
Descriptors: Expectation, Scores, Academic Achievement, Achievement Gains
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Kang, Yoonjeong; Harring, Jeffrey R.; Li, Ming – Journal of Experimental Education, 2015
The authors performed a Monte Carlo simulation to empirically investigate the robustness and power of 4 methods in testing mean differences for 2 independent groups under conditions in which 2 populations may not demonstrate the same pattern of nonnormality. The approaches considered were the t test, Wilcoxon rank-sum test, Welch-James test with…
Descriptors: Comparative Analysis, Monte Carlo Methods, Statistical Analysis, Robustness (Statistics)
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Wang, Shiyu; Lin, Haiyan; Chang, Hua-Hua; Douglas, Jeff – Journal of Educational Measurement, 2016
Computerized adaptive testing (CAT) and multistage testing (MST) have become two of the most popular modes in large-scale computer-based sequential testing. Though most designs of CAT and MST exhibit strength and weakness in recent large-scale implementations, there is no simple answer to the question of which design is better because different…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Format, Sequential Approach
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Peng, Chao-Ying Joanne; Chen, Li-Ting – Journal of Experimental Education, 2014
Given the long history of discussion of issues surrounding statistical testing and effect size indices and various attempts by the American Psychological Association and by the American Educational Research Association to encourage the reporting of effect size, most journals in education and psychology have witnessed an increase in effect size…
Descriptors: Effect Size, Statistical Analysis, Computation, Classification
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Mittelstaedt, H. Fred; Morris, Michael H. – Journal of Education for Business, 2017
This study shows that graduates from nonprofit educational institutions outperform graduates from for-profit institutions on the four sections of the certified public accountant (CPA) exam. Specifically, it (1) documents univariate differences in CPA exam scores, score distributions, pass rates, and time to complete the CPA exam; (2) investigates…
Descriptors: College Graduates, Academic Achievement, Private Colleges, Public Colleges
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Lye, Jenny; Hirschberg, Joe – Education Economics, 2017
The recent growth in privately administered secondary education in many developed countries has been a widely observed phenomenon. The Australian private secondary school sector has grown faster than those in any other "OECD" nation, even though the average tuition fees charged by these schools have increased at double the nation's…
Descriptors: Fees, Private Schools, Tuition, High Schools
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Cattaneo, Maria A.; Oggenfuss, Chantal; Wolter, Stefan C. – Education Economics, 2017
Building on earlier work that explored within-student variation in hours of instruction across school subjects, we investigate the impact of instruction time on student test scores in Switzerland, as measured by the PISA 2009 test. Our results confirm the results of previous studies of a positive effect of instruction time on student performance.…
Descriptors: Performance Based Assessment, Time Factors (Learning), Time on Task, Scores
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