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DeMars, Christine E. – Educational and Psychological Measurement, 2005
Type I error rates for PARSCALE's fit statistic were examined. Data were generated to fit the partial credit or graded response model, with test lengths of 10 or 20 items. The ability distribution was simulated to be either normal or uniform. Type I error rates were inflated for the shorter test length and, for the graded-response model, also for…
Descriptors: Test Length, Item Response Theory, Psychometrics, Error of Measurement
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Enders, Craig K.; Peugh, James L. – Structural Equation Modeling, 2004
Two methods, direct maximum likelihood (ML) and the expectation maximization (EM) algorithm, can be used to obtain ML parameter estimates for structural equation models with missing data (MD). Although the 2 methods frequently produce identical parameter estimates, it may be easier to satisfy missing at random assumptions using EM. However, no…
Descriptors: Inferences, Structural Equation Models, Factor Analysis, Error of Measurement
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Lei, Pui-Wa; Dunbar, Stephen B. – Structural Equation Modeling, 2004
The primary purpose of this study was to examine relative performance of 2 power estimation methods in structural equation modeling. Sample size, alpha level, type of manifest variable, type of specification errors, and size of correlation between constructs were manipulated. Type 1 error rate of the model chi-square test, empirical critical…
Descriptors: Measures (Individuals), Structural Equation Models, Computation, Scores
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Rindskopf, David; Strauss, Shiela – Structural Equation Modeling, 2004
We demonstrate a model for categorical data that parallels the MIMIC model for continuous data. The model is equivalent to a latent class model with observed covariates; further, it includes simple handling of missing data. The model is used on data from a large-scale study of HIV that had both biological measures of infection and self-report…
Descriptors: Sexually Transmitted Diseases, Communicable Diseases, Predictor Variables, Error of Measurement
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Onwuegbuzie, Anthony J.; Roberts, J. Kyle; Daniel, Larry G. – Measurement and Evaluation in Counseling and Development, 2005
In this article, the authors (a) illustrate how displaying disattenuated correlation coefficients alongside their unadjusted counterparts will allow researchers to assess the impact of unreliability on bivariate relationships and (b) demonstrate how a proposed new "what if reliability" analysis can complement null hypothesis significance…
Descriptors: Correlation, Statistical Significance, Reliability, Error of Measurement
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Marcus, Gary F. – Journal of Cognition and Development, 2004
"Little by little, the child develops," wrote an undergraduate in a friend's cognitive development class, and so, for the most part, it is. But what explains the U's of cognitive development? Namy, Campbell, and Tomasello and Cashon and Cohen take a standard approach to understanding U-shaped curves: as the product of a mix of different cognitive…
Descriptors: Measurement Techniques, Error of Measurement, Cognitive Processes, Cognitive Development
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Yuan, Ke-Hai; Maxwell, Scott – Journal of Educational and Behavioral Statistics, 2005
Retrospective or post hoc power analysis is recommended by reviewers and editors of many journals. Little literature has been found that gave a serious study of the post hoc power. When the sample size is large, the observed effect size is a good estimator of the true power. This article studies whether such a power estimator provides valuable…
Descriptors: Effect Size, Computation, Monte Carlo Methods, Bias
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Charles, Eric P. – Psychological Methods, 2005
The correction for attenuation due to measurement error (CAME) has received many historical criticisms, most of which can be traced to the limited ability to use CAME inferentially. Past attempts to determine confidence intervals for CAME are summarized and their limitations discussed. The author suggests that inference requires confidence sets…
Descriptors: Error of Measurement, Error Correction, Intervals, Inferences
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Adams, Raymond J. – Studies in Educational Evaluation, 2005
Test reliability is a concept central to classical test theory and it is commonly stated as a requirement that a test attain a certain level of reliability before it be considered of sufficient quality for practical use. This article discusses the role of reliability in item response theory, and in particular the role of reliability in contexts…
Descriptors: Test Reliability, Error of Measurement, Item Sampling, Item Response Theory
Froman, Terry; Brown, Shelly; Luzon-Canasi, Angela – Research Services, Miami-Dade County Public Schools, 2008
This study duplicated the procedures used by Greene and Winters (2006) on data from the Miami-Dade school system with the advantage of an additional two year's worth of information. The results indicated that the effects of the retention policy are far from clear and arguably negative. There is considerable evidence to suggest that the apparent…
Descriptors: Grade Repetition, School Holding Power, Evidence, Educational Policy
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Lam, Tony C. M.; Kolic, Mary – Applied Psychological Measurement, 2008
Semantic incompatibility, an error in constructing measuring instruments for rating oneself, others, or objects, refers to the extent to which item wordings are incongruent with, and hence inappropriate for, scale labels and vice versa. This study examines the effects of semantic incompatibility on rating responses. Using a 2 x 2 factorial design…
Descriptors: Semantics, Rating Scales, Statistical Analysis, Academic Ability
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Kim, Hanna – Science Activities: Classroom Projects and Curriculum Ideas, 2008
Testing the pH of various liquids is one of the most popular activities in 5th- through 8th-grade classrooms. The author presents an extensive pH-testing lesson based on a 5E (engagement, exploration, explanation, extension, and evaluation) teaching model. The activity provides students with the opportunity to learn about pH and how it relates to…
Descriptors: Scientific Research, Teaching Models, Error of Measurement, Science Instruction
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Liu, Jinghua; Low, Albert C. – ETS Research Report Series, 2007
This study applied kernel equating (KE) in two scenarios: equating to a very similar population and equating to a very different population, referred to as a distant population, using SAT® data. The KE results were compared to the results obtained from analogous classical equating methods in both scenarios. The results indicate that KE results are…
Descriptors: College Entrance Examinations, Equated Scores, Comparative Analysis, Evaluation Methods
Livingston, Samuel A.; Lewis, Charles – 1993
This paper presents a method for estimating the accuracy and consistency of classifications based on test scores. The scores can be produced by any scoring method, including the formation of a weighted composite. The estimates use data from a single form. The reliability of the score is used to estimate its effective test length in terms of…
Descriptors: Classification, Error of Measurement, Estimation (Mathematics), Reliability
Sheehan, Kathleen M.; Mislevy, Robert J. – 1988
In many practical applications of item response theory, the parameters of overlapping subsets of test items are estimated from different samples of examinees. A linking procedure is then employed to place the resulting item parameter estimates onto a common scale. It is standard practice to ignore the uncertainty associated with the linking step…
Descriptors: Error of Measurement, Estimation (Mathematics), Item Response Theory, Measurement Techniques
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