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Hamaker, E. L.; Grasman, R. P. P. P. – Psychometrika, 2012
Many psychological processes are characterized by recurrent shifts between distinct regimes or states. Examples that are considered in this paper are the switches between different states associated with premenstrual syndrome, hourly fluctuations in affect during a major depressive episode, and shifts between a "hot hand" and a…
Descriptors: Psychological Patterns, Statistical Inference, Data, Simulation
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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
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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
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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
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Culpepper, Steven Andrew – Psychometrika, 2012
The study of prediction bias is important and the last five decades include research studies that examined whether test scores differentially predict academic or employment performance. Previous studies used ordinary least squares (OLS) to assess whether groups differ in intercepts and slopes. This study shows that OLS yields inaccurate inferences…
Descriptors: Academic Achievement, Prediction, Measurement, Least Squares Statistics
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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
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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
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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
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Dayton, C. Mitchell; Macready, George B. – Psychometrika, 1980
Goodman contributed to the theory of scaling by including a category of intrinsically unscalable respondents in addition to the usual scale-type respondents. However, his formulation permits only error-free responses by respondents from the scale types. This paper presents new scaling models which have additional desirable properties. (Author/JKS)
Descriptors: Error of Measurement, Measurement Techniques, Models, Scaling
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Klauer, Karl Christoph; Batchelder, William H. – Psychometrika, 1996
A general approach to the analysis of nominal-scale ratings is discussed that is based on a simple measurement error model for a rater's judgments. The basic measurement error model gives rise to an agreement model for the agreement matrix of two or more raters. (SLD)
Descriptors: Classification, Data Analysis, Equations (Mathematics), Error of Measurement
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Rouder, Jeffrey N. – Psychometrika, 2005
Glickman, Gray, and Morales (this issue) propose a statistical model for measuring the unobserved latency of stimulus-controlled processes. The model accounts for both speed and accuracy and does so by assuming that participants set an internal deadline. If a stimulus-controlled response is not produced by the deadline, the participant then…
Descriptors: Models, Statistical Analysis, Stimuli, Response Style (Tests)