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Parkes, Jay – Educational Assessment, 2001
Synthesizes literature on performance assessment for individual-level, high-stakes tests and the error variance associated with a person x task interaction. Proposes a research agenda based on this literature. (SLD)
Descriptors: Error of Measurement, High Stakes Tests, Interaction, Performance Based Assessment
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)
Alcala-Quintana, Rocio; Garcia-Perez, Miguel A. – Psychological Methods, 2004
Variants of adaptive Bayesian procedures for estimating the 5% point on a psychometric function were studied by simulation. Bias and standard error were the criteria to evaluate performance. The results indicated a superiority of (a) uniform priors, (b) model likelihood functions that are odd symmetric about threshold and that have parameter…
Descriptors: Psychometrics, Computation, Error of Measurement, Bayesian Statistics
Doran, Harold C. – Educational and Psychological Measurement, 2005
The information function is an important statistic in item response theory (IRT) applications. Although the information function is often described as the IRT version of reliability, it differs from the classical notion of reliability from a critical perspective: replication. This article first explores the information function for the…
Descriptors: Item Response Theory, Error of Measurement, Evaluation Methods, Reliability
Sierra, Vicenta; Solanas, Antonio; Quera, Vicenc – Journal of Experimental Education, 2005
The authors used a Monte Carlo simulation to examine how the violation of the exchangeability assumption affects empirical Type I error rates of the LMH randomization test (J. R. Levin, L. A. Marascuilo, & L. J. Hubert, 1978). Simulation results showed that the LMH test is not always an appropriate technique for analyzing systematic designs when…
Descriptors: Monte Carlo Methods, Statistical Analysis, Item Response Theory, Error of Measurement
Dolan, Conor V.; Wicherts, Jelte M.; Molenaar, Peter C. M. – Structural Equation Modeling, 2004
We consider the question of how variation in the number and reliability of indicators affects the power to reject the hypothesis that the regression coefficients are zero in latent linear regression analysis. We show that power remains constant as long as the coefficient of determination remains unchanged. Any increase in the number of indicators…
Descriptors: Error of Measurement, Factor Analysis, Regression (Statistics), Evaluation Methods
Hox, Joop; Lensvelt-Mulders, Gerty – Structural Equation Modeling, 2004
This article describes a technique to analyze randomized response data using available structural equation modeling (SEM) software. The randomized response technique was developed to obtain estimates that are more valid when studying sensitive topics. The basic feature of all randomized response methods is that the data are deliberately…
Descriptors: Structural Equation Models, Item Response Theory, Evaluation Research, Evaluation Methods
Glaister, Elizabeth M.; Glaister, Paul – Teaching Statistics: An International Journal for Teachers, 2004
This article illustrates a method for fitting straight lines to data that is resistant to outliers and might therefore sometimes be preferred to the customary least squares procedure.
Descriptors: Maximum Likelihood Statistics, Least Squares Statistics, Statistical Analysis, Error of Measurement
von Davier, Alina A.; Kong, Nan – Journal of Educational and Behavioral Statistics, 2005
This article describes a new, unified framework for linear equating in a non-equivalent groups anchor test (NEAT) design. The authors focus on three methods for linear equating in the NEAT design--Tucker, Levine observed-score, and chain--and develop a common parameterization that shows that each particular equating method is a special case of the…
Descriptors: Equations (Mathematics), Sample Size, Statistical Distributions, Error of Measurement
Baldwin, Scott A.; Murray, David M.; Shadish, William R. – Journal of Consulting and Clinical Psychology, 2005
When treatments are administered in groups, clients interact in ways that lead to violations of a key assumption of most statistical analyses-the assumption of independence of observations. The resulting dependencies, when not properly accounted for, can increase Type I errors dramatically. Of the 33 studies of group-administered treatment on the…
Descriptors: Statistical Analysis, Error Patterns, Clinical Psychology, Group Therapy
Chan, Y. C.; Lam, Gladys L. T.; Chun, P. K. R.; So, Moon Tong Ernest – Child Abuse & Neglect: The International Journal, 2006
Objectives: To evaluate whether or not the original six-factor structure of the Child Abuse Potential (CAP) Inventory suggested by [Milner, J. S. (1986). "The Child Abuse Potential Inventory: Manual" (2nd ed.). DeKalb, IL: Psytec. Inc.] can be confirmed with data from a group of Chinese mothers in Hong Kong. Method: Eight hundred and…
Descriptors: Measures (Individuals), Factor Structure, Child Abuse, Mothers
Alhija, Fadia Nasser-Abu; Wisenbaker, Joseph – Structural Equation Modeling: A Multidisciplinary Journal, 2006
A simulation study was conducted to examine the effect of item parceling on confirmatory factor analysis parameter estimates and their standard errors at different levels of sample size, number of indicators per factor, size of factor structure/pattern coefficients, magnitude of interfactor correlations, and variations in item-level data…
Descriptors: Monte Carlo Methods, Computation, Factor Analysis, Sample Size
Jones, Mark; Onslow, Mark; Packman, Ann; Gebski, Val – Journal of Speech, Language, and Hearing Research, 2006
Purpose: The purpose of this study was to develop guidelines for the statistical analysis of percentage of syllables stuttered (%SS) data in stuttering research. Method; Data on %SS from various independent sources were used to develop a statistical model to describe this type of data. On the basis of this model, %SS data were simulated with…
Descriptors: Statistical Analysis, Guidelines, Sample Size, Stuttering
Wang, Ming-Te – School Psychology Quarterly, 2009
The present study used an ecological framework to examine the relationships among adolescents' perceptions of school climate, social competence, and behavioral and psychological adjustment in the middle school years. This study improved upon prior studies by using "structural equation modeling" to investigate the hypothesized mediating…
Descriptors: Middle School Students, Structural Equation Models, Early Adolescents, Error of Measurement
Froman, Terry – Research Services, Miami-Dade County Public Schools, 2007
Because 3rd Grade Florida Comprehensive Assessment Test (FCAT) scores have a direct impact on promotion, the results for that grade level are released early by the State. When the FCAT results for 3rd Grade were released in May 2007, many people were troubled. Over 80% of the elementary schools in the Miami-Dade School District showed a decrease…
Descriptors: Reading Achievement, Scoring, Grade 3, Academic Achievement