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Richards, Kate; Davies, Neville – Teaching Statistics: An International Journal for Teachers, 2012
This article tackles the problem of what should be done with real textual data that are contaminated by errors of recording, particularly when the data contain words that are misspelt, unintentionally or otherwise. (Contains 5 tables and 2 figures.)
Descriptors: Error Analysis (Language), Error of Measurement, Research Problems, Statistics
Cai, Li; Monroe, Scott – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2014
We propose a new limited-information goodness of fit test statistic C[subscript 2] for ordinal IRT models. The construction of the new statistic lies formally between the M[subscript 2] statistic of Maydeu-Olivares and Joe (2006), which utilizes first and second order marginal probabilities, and the M*[subscript 2] statistic of Cai and Hansen…
Descriptors: Item Response Theory, Models, Goodness of Fit, Probability
Menil, Violeta C.; Ye, Ruili – MathAMATYC Educator, 2012
This study serves as a teaching aid for teachers of introductory statistics. The aim of this study was limited to determining various sample sizes when estimating population proportion. Tables on sample sizes were generated using a C[superscript ++] program, which depends on population size, degree of precision or error level, and confidence…
Descriptors: Sample Size, Probability, Statistics, Sampling
Peer reviewedStavig, Gordon R. – Perceptual and Motor Skills, 1982
Several robust absolute deviation statistics have been developed recently. Two such correlation coefficients are developed and discussed, one for ranked data and another for interval level data. The standard error and range of the coefficients are given. The algebraic relationship between the coefficients and three widely used correlation…
Descriptors: Correlation, Error of Measurement, Mathematical Formulas, Statistical Studies

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