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Beasley, William Howard; DeShea, Lise; Toothaker, Larry E.; Mendoza, Jorge L.; Bard, David E.; Rodgers, Joseph Lee – Psychological Methods, 2007
This article proposes 2 new approaches to test a nonzero population correlation ([rho]): the hypothesis-imposed univariate sampling bootstrap (HI) and the observed-imposed univariate sampling bootstrap (OI). The authors simulated correlated populations with various combinations of normal and skewed variates. With [alpha[subscript "set"]]=0.05, N…
Descriptors: Correlation, Sampling, Sample Size, Research Methodology
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Sowter, Ben – Higher Education in Europe, 2008
This paper presents key new developments in the THES - QS World University Rankings in 2007, related to enhancements to the "Peer Review", "Data Collection" and "Statistical Aggregation" utilised in this ranking as well as discussing the decision to utilise Full-Time Equivalent (FTE) figures for personnel statistics. Indicator correlation is also…
Descriptors: Higher Education, Institutional Characteristics, International Education, Classification
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Pendar, Nick; Chapelle, Carol A. – CALICO Journal, 2008
Researchers working with learner corpora promise quantitative results that would be of greater practical value in areas such as CALL than those from small-scale and qualitative studies. However, learner corpus research has not yet had an impact on practices in teaching and assessment. Significant methodological issues need to be examined if…
Descriptors: Computational Linguistics, Statistical Analysis, Language Acquisition, Statistical Studies
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Cools, Wilfried; De Fraine, Bieke; Van den Noortgate, Wim; Onghena, Patrick – School Effectiveness and School Improvement, 2009
In educational effectiveness research, multilevel data analyses are often used because research units (most frequently, pupils or teachers) are studied that are nested in groups (schools and classes). This hierarchical data structure complicates designing the study because the structure has to be taken into account when approximating the accuracy…
Descriptors: Effective Schools Research, Program Effectiveness, School Effectiveness, Simulation
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Walser, Tamara M. – AASA Journal of Scholarship & Practice, 2009
No Child Left Behind has increased data collection and reporting, the development of data systems, and interest in using data for decision-making in schools and classrooms. Ends-driven decision making has become common educational practice, where the ends justify the means at all costs, and short-term results trump longer-term outcomes and the…
Descriptors: Federal Legislation, Academic Achievement, Systems Approach, Educational Practices
Aleksic-Maslac, Karmela; Magzan, Masha – Online Submission, 2011
The critical organizational form in the information age is networking. This new organizational principle is manifested through the processes of internationalization and global academic cooperation which have become inevitable strategies for every higher education institution in order to be competitive in a global education market. The effective…
Descriptors: Electronic Learning, Higher Education, Global Education, Distance Education
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Cheng, Jacqueline H. S.; Marsh, Herbert W. – Oxford Review of Education, 2010
The National Student Survey (NSS) of course experience satisfaction is sent to final year students of all higher education institutions in England, Northern Ireland, Scotland and Wales (N = 171,290 and 157,342 students in 2005 and 2006) and results are made publicly available. The present investigation assesses the reliability and appropriate use…
Descriptors: Higher Education, Student Surveys, Foreign Countries, National Surveys
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Slavin, Robert; Smith, Dewi – Educational Evaluation and Policy Analysis, 2009
Research in fields other than education has found that studies with small sample sizes tend to have larger effect sizes than those with large samples. This article examines the relationship between sample size and effect size in education. It analyzes data from 185 studies of elementary and secondary mathematics programs that met the standards of…
Descriptors: Sample Size, Effect Size, Correlation, Educational Experiments
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King, Douglas – Journal of Electronic Resources Librarianship, 2009
In answering the question "What is the next trend in usage statistics in libraries?" an eclectic group of respondents has presented an assortment of possibilities, suggestions, complaints and, of course, questions of their own. Undoubtedly, usage statistics collection, interpretation, and application are areas of growth and increasing complexity…
Descriptors: Trend Analysis, Library Research, Use Studies, Library Services
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Hsieh, Chueh-An; Maier, Kimberly S. – International Journal of Research & Method in Education, 2009
The capacity of Bayesian methods in estimating complex statistical models is undeniable. Bayesian data analysis is seen as having a range of advantages, such as an intuitive probabilistic interpretation of the parameters of interest, the efficient incorporation of prior information to empirical data analysis, model averaging and model selection.…
Descriptors: Equal Education, Bayesian Statistics, Data Analysis, Comparative Analysis
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Goldstein, Harvey – Teaching Statistics: An International Journal for Teachers, 2007
A basic understanding of statistical ideas, and especially the idea of statistical modelling involving exposure to statistical data analysis, is as fundamental to an understanding of modern society and its artefacts as is language literacy. Thus, statistics should become a central feature of the mathematics curriculum. This implies, among other…
Descriptors: Statistics, Statistical Studies, Mathematics Curriculum, Problem Based Learning
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Pohl, Steffi; Steiner, Peter M.; Eisermann, Jens; Soellner, Renate; Cook, Thomas D. – Educational Evaluation and Policy Analysis, 2009
Adjustment methods such as propensity scores and analysis of covariance are often used for estimating treatment effects in nonexperimental data. Shadish, Clark, and Steiner used a within-study comparison to test how well these adjustments work in practice. They randomly assigned participating students to a randomized or nonrandomized experiment.…
Descriptors: Statistical Analysis, Social Science Research, Statistical Bias, Statistical Inference
Carey, Kevin – Education Canada, 2009
Almost nobody, it seems, disputes the importance of effective teachers--including teachers themselves. However, principals actually do none of the things they do when they value something as highly as most people say they value good teachers. By looking at scores on year-end standardized tests by teachers, principals think they have a pretty good…
Descriptors: Teacher Effectiveness, Standardized Tests, Teacher Surveys, Educational Change
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Lamprianou, Iasonas – Oxford Review of Education, 2009
Heated discussions about the comparability of standards between examination subjects have kept Qualification Authorities, Testing Services, independent researchers and academics around the world busy for many years. As a result, many countries have adopted statistical techniques which aspire to make aggregated scores based on different subjects…
Descriptors: Qualifications, Testing, International Studies, Academic Standards
Florida Board of Governors, State University System, 2009
In the past three years, Board of Governors' (BOG) staff, working in cooperation with university representatives, have continued to improve the data collection and reporting capabilities for the State University System. Simultaneously, Board staff have worked to lessen the reporting burden on the universities by reducing the number of data…
Descriptors: Data Collection, Knowledge Management, Management Information Systems, Statistical Studies
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