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Showing all 13 results Save | Export
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Lam, Kar Yin; Koning, Alex J.; Franses, Philip Hans – Multivariate Behavioral Research, 2011
We consider the estimation of probabilistic ranking models in the context of conjoint experiments. By using approximate rather than exact ranking probabilities, we avoided the computation of high-dimensional integrals. We extended the approximation technique proposed by Henery (1981) in the context of the Thurstone-Mosteller-Daniels model to any…
Descriptors: Probability, Evaluation Research, Computation, Experiments
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Bloom, Howard S.; Porter, Kristin E.; Weiss, Michael J.; Raudenbush, Stephen – Society for Research on Educational Effectiveness, 2013
To date, evaluation research and policy analysis have focused mainly on average program impacts and paid little systematic attention to their variation. Recently, the growing number of multi-site randomized trials that are being planned and conducted make it increasingly feasible to study "cross-site" variation in impacts. Important…
Descriptors: Research Methodology, Policy, Evaluation Research, Randomized Controlled Trials
Zhu, Pei; Jacob, Robin; Bloom, Howard; Xu, Zeyu – MDRC, 2011
This paper provides practical guidance for researchers who are designing and analyzing studies that randomize schools--which comprise three levels of clustering (students in classrooms in schools)--to measure intervention effects on student academic outcomes when information on the middle level (classrooms) is missing. This situation arises…
Descriptors: Intervention, Academic Achievement, Research Methodology, Research Design
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Moses, Tim; Zhang, Wenmin – Journal of Educational and Behavioral Statistics, 2011
The purpose of this article was to extend the use of standard errors for equated score differences (SEEDs) to traditional equating functions. The SEEDs are described in terms of their original proposal for kernel equating functions and extended so that SEEDs for traditional linear and traditional equipercentile equating functions can be computed.…
Descriptors: Equated Scores, Error Patterns, Evaluation Research, Statistical Analysis
Foley, Brett Patrick – ProQuest LLC, 2010
The 3PL model is a flexible and widely used tool in assessment. However, it suffers from limitations due to its need for large sample sizes. This study introduces and evaluates the efficacy of a new sample size augmentation technique called Duplicate, Erase, and Replace (DupER) Augmentation through a simulation study. Data are augmented using…
Descriptors: Test Length, Sample Size, Simulation, Item Response Theory
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Rhemtulla, Mijke; Brosseau-Liard, Patricia E.; Savalei, Victoria – Psychological Methods, 2012
A simulation study compared the performance of robust normal theory maximum likelihood (ML) and robust categorical least squares (cat-LS) methodology for estimating confirmatory factor analysis models with ordinal variables. Data were generated from 2 models with 2-7 categories, 4 sample sizes, 2 latent distributions, and 5 patterns of category…
Descriptors: Factor Analysis, Computation, Simulation, Sample Size
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Spybrook, Jessaca; Raudenbush, Stephen W. – Educational Evaluation and Policy Analysis, 2009
This article examines the power analyses for the first wave of group-randomized trials funded by the Institute of Education Sciences. Specifically, it assesses the precision and technical accuracy of the studies. The authors identified the appropriate experimental design and estimated the minimum detectable standardized effect size (MDES) for each…
Descriptors: Research Design, Research Methodology, Effect Size, Correlation
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Athy, Jeremy; Friedrich, Jeff; Delany, Eileen – Science & Education, 2008
Egon Brunswik (1903-1955) first made an interesting distinction between perception and explicit reasoning, arguing that perception included quick estimates of an object's size, nearly always resulting in good approximations in uncertain environments, whereas explicit reasoning, while better at achieving exact estimates, could often fail by wide…
Descriptors: Psychology, Logical Thinking, Perception, Psychological Studies
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Hahs-Vaughn, Debbie L.; Lomax, Richard G. – Journal of Experimental Education, 2006
Complex survey designs often employ multistage cluster sampling designs and oversample particular units to ensure more accurate population parameter estimates. These issues must be accommodated in the analysis to ensure accurate parameter estimation. Incorporation of sample weights in some statistical procedures has been studied. However, research…
Descriptors: Structural Equation Models, Computation, Evaluation Research, Surveys
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Blitstein, Jonathan L.; Hannan, Peter J.; Murray, David M.; Shadish, William R. – Evaluation Review, 2005
This study describes a method for incorporating external estimates of intraclass correlation to improve the precision for the analysis of an existing group-randomized trial. The authors use a random-effects meta-analytic approach to pool the information across studies, which takes into account any interstudy heterogeneity that may exist. This…
Descriptors: Freedom, Computation, Correlation, Evaluation Research
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Stuart, Elizabeth A. – Educational Researcher, 2007
Education researchers, practitioners, and policymakers alike are committed to identifying interventions that teach students more effectively. Increased emphasis on evaluation and accountability has increased desire for sound evaluations of these interventions; and at the same time, school-level data have become increasingly available. This article…
Descriptors: Research Methodology, Computation, Causal Models, Intervention
Stenner, A. Jackson – 1996
This paper shows how the concept of general objectivity can be used to improve behavioral science measurement, particularly as it applies to the Lexile Framework, a tool for objectively measuring reading comprehension. It begins with a dialogue between a physicist and a psychometrician that details some of the differences between physical science…
Descriptors: Behavioral Sciences, Computation, Evaluation Research, Higher Education
Keeves, John P.; Lietz, Petra; Gregory, Kelvin; Darmawan, I Gusti Ngurah – International Education Journal, 2006
In this lead article three emergent problems in the analysis of cross-national survey data are raised in a context of 40 years of research and development in a field where persistent problems have arisen and where scholars across the world have sought solutions. Anomalous results have been found from secondary data analyses that would appear to…
Descriptors: Research and Development, Academic Achievement, Computation, National Surveys