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Download full textCai, 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
Direct linkGorard, Stephen – British Journal of Educational Studies, 2005
This paper discusses the reliance of numerical analysis on the concept of the standard deviation, and its close relative the variance. It suggests that the original reasons why the standard deviation concept has permeated traditional statistics are no longer clearly valid, if they ever were. The absolute mean deviation, it is argued here, has many…
Descriptors: Statistics, Statistical Analysis, Evaluation Methods, Statistical Distributions
Peer reviewedScheaffer, Richard L. – Mathematics Teacher, 1990
Outlines differences between classical statistics and exploratory data analysis. Provides examples in the use of the exploratory techniques. (YP)
Descriptors: Data Analysis, Evaluation Methods, Graphs, Mathematical Models
McClure, Charles R.; Lankes, R. David; Gross, Melissa; Choltco-Devlin, Beverly – 2002
This manual is a first effort to begin to identify, describe, and develop procedures for assessing various aspects of digital reference service. Its overall purpose is to improve the quality of digital reference services and assist librarians to design and implement better digital reference services. More specifically, its aim is to: assist…
Descriptors: Electronic Libraries, Evaluation Criteria, Evaluation Methods, Guidelines
