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Tijmstra, Jesper; Hessen, David J.; van der Heijden, Peter G. M.; Sijtsma, Klaas – Psychometrika, 2013
Most dichotomous item response models share the assumption of latent monotonicity, which states that the probability of a positive response to an item is a nondecreasing function of a latent variable intended to be measured. Latent monotonicity cannot be evaluated directly, but it implies manifest monotonicity across a variety of observed scores,…
Descriptors: Item Response Theory, Statistical Inference, Probability, Psychometrics
Molenaar, Dylan; Dolan, Conor V.; de Boeck, Paul – Psychometrika, 2012
The Graded Response Model (GRM; Samejima, "Estimation of ability using a response pattern of graded scores," Psychometric Monograph No. 17, Richmond, VA: The Psychometric Society, 1969) can be derived by assuming a linear regression of a continuous variable, Z, on the trait, [theta], to underlie the ordinal item scores (Takane & de Leeuw in…
Descriptors: Simulation, Regression (Statistics), Psychometrics, Item Response Theory
Yuan, Ke-Hai; Zhang, Zhiyong – Psychometrika, 2012
The paper develops a two-stage robust procedure for structural equation modeling (SEM) and an R package "rsem" to facilitate the use of the procedure by applied researchers. In the first stage, M-estimates of the saturated mean vector and covariance matrix of all variables are obtained. Those corresponding to the substantive variables…
Descriptors: Structural Equation Models, Tests, Federal Aid, Psychometrics
Yuan, Ke-Hai; Cheng, Ying; Zhang, Wei – Psychometrika, 2010
This paper studies changes of standard errors (SE) of the normal-distribution-based maximum likelihood estimates (MLE) for confirmatory factor models as model parameters vary. Using logical analysis, simplified formulas and numerical verification, monotonic relationships between SEs and factor loadings as well as unique variances are found.…
Descriptors: Factor Analysis, Statistical Analysis, Error of Measurement, Models
Draxler, Clemens – Psychometrika, 2010
This paper is concerned with supplementing statistical tests for the Rasch model so that additionally to the probability of the error of the first kind (Type I probability) the probability of the error of the second kind (Type II probability) can be controlled at a predetermined level by basing the test on the appropriate number of observations.…
Descriptors: Statistical Analysis, Probability, Sample Size, Error of Measurement
Guo, Hongwen – Psychometrika, 2010
After many equatings have been conducted in a testing program, equating errors can accumulate to a degree that is not negligible compared to the standard error of measurement. In this paper, the author investigates the asymptotic accumulative standard error of equating (ASEE) for linear equating methods, including chained linear, Tucker, and…
Descriptors: Testing Programs, Testing, Error of Measurement, Equated Scores
Yang, Manshu; Chow, Sy-Miin – Psychometrika, 2010
Facial electromyography (EMG) is a useful physiological measure for detecting subtle affective changes in real time. A time series of EMG data contains bursts of electrical activity that increase in magnitude when the pertinent facial muscles are activated. Whereas previous methods for detecting EMG activation are often based on deterministic or…
Descriptors: Test Bias, Error of Measurement, Human Body, Diagnostic Tests
Warrens, Matthijs J. – Psychometrika, 2008
We discuss properties that association coefficients may have in general, e.g., zero value under statistical independence, and we examine coefficients for 2x2 tables with respect to these properties. Furthermore, we study a family of coefficients that are linear transformations of the observed proportion of agreement given the marginal…
Descriptors: Probability, Error of Measurement, Psychometrics, Measurement Techniques
Laenen, Annouschka; Alonso, Ariel; Molenberghs, Geert; Vangeneugden, Tony – Psychometrika, 2009
Reliability captures the influence of error on a measurement and, in the classical setting, is defined as one minus the ratio of the error variance to the total variance. Laenen, Alonso, and Molenberghs ("Psychometrika" 73:443-448, 2007) proposed an axiomatic definition of reliability and introduced the R[subscript T] coefficient, a measure of…
Descriptors: Error of Measurement, Case Studies, Simulation, Reliability
del Pino, Guido; San Martin, Ernesto; Gonzalez, Jorge; De Boeck, Paul – Psychometrika, 2008
This paper analyzes the sum score based (SSB) formulation of the Rasch model, where items and sum scores of persons are considered as factors in a logit model. After reviewing the evolution leading to the equality between their maximum likelihood estimates, the SSB model is then discussed from the point of view of pseudo-likelihood and of…
Descriptors: Computation, Models, Scores, Evaluation Methods
Steinley, Douglas – Psychometrika, 2007
Given that a minor condition holds (e.g., the number of variables is greater than the number of clusters), a nontrivial lower bound for the sum-of-squares error criterion in K-means clustering is derived. By calculating the lower bound for several different situations, a method is developed to determine the adequacy of cluster solution based on…
Descriptors: Multivariate Analysis, Least Squares Statistics, Error of Measurement, Psychometrics
Glas, C. A. W.; Dagohoy, Anna Villa T. – Psychometrika, 2007
A person fit test based on the Lagrange multiplier test is presented for three item response theory models for polytomous items: the generalized partial credit model, the sequential model, and the graded response model. The test can also be used in the framework of multidimensional ability parameters. It is shown that the Lagrange multiplier…
Descriptors: Item Response Theory, Goodness of Fit, Psychometrics, Models

White, Richard T.; Clark, R. Malcolm – Psychometrika, 1973
A test which allows for errors of measurement is derived for the hypothesis that all the members of a population who possess a certain skill are a sub-set of the members who possess another skill. (Author)
Descriptors: Error of Measurement, Mathematical Applications, Psychometrics, Statistical Analysis
Busing, Frank M. T. A.; Groenen, Patrick J. K.; Heiser, Willem J. – Psychometrika, 2005
Multidimensional unfolding methods suffer from the degeneracy problem in almost all circumstances. Most degeneracies are easily recognized: the solutions are perfect but trivial, characterized by approximately equal distances between points from different sets. A definition of an absolutely degenerate solution is proposed, which makes clear that…
Descriptors: Simulation, Item Response Theory, Psychometrics, Statistical Analysis

Thissen, David; Wainer, Howard – Psychometrika, 1982
The mathematics required to calculate the asymptotic standard errors of the parameters of three commonly used logistic item response models is described and used to generate values for common situations. Difficulties in using maximum likelihood estimation with the three parameter model are discussed. (Author/JKS)
Descriptors: Error of Measurement, Item Analysis, Latent Trait Theory, Maximum Likelihood Statistics
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