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Henson, Robin K. – Measurement and Evaluation in Counseling and Development, 2001
Although often ignored, reliability is critical when interpreting study effects and test results. Accordingly, this article focuses on the most commonly used estimate of reliability, internal consistency coefficients, with emphasis on coefficient alpha. An interpretive framework is provided for applied researchers and others seeking a conceptual…
Descriptors: Error of Measurement, Item Analysis, Reliability, Research Methodology
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Tsai, Tsung-Hsun; Hanson, Bradley A.; Kolen, Michael J.; Forsyth, Robert A. – Applied Measurement in Education, 2001
Compared bootstrap standard errors of five item response theory (IRT) equating methods for the common-item nonequivalent groups design using test results for 1,493 and 1,793 examinees taking a professional certification test. Results suggest that standard errors of equating less than 0.1 standard deviation units could be obtained with any of the…
Descriptors: Equated Scores, Error of Measurement, Item Response Theory, Licensing Examinations (Professions)
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Kupermintz, Haggai – Journal of Educational Measurement, 2004
A decision-theoretic approach to the question of reliability in categorically scored examinations is explored. The concepts of true scores and errors are discussed as they deviate from conventional psychometric definitions and measurement error in categorical scores is cast in terms of misclassifications. A reliability measure based on…
Descriptors: Test Reliability, Error of Measurement, Psychometrics, Test Theory
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Raykov, Tenko – Structural Equation Modeling, 2004
A widely and readily applicable covariance structure modeling approach is outlined that allows point and interval estimation of scale reliability with fixed components. The procedure employs only linear constraints introduced in a congeneric model, which after reparameterization permit expression of composite reliability as a function of…
Descriptors: Measures (Individuals), Intervals, Error of Measurement, Structural Equation Models
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Fay, Temple H. – International Journal of Mathematical Education in Science and Technology, 2003
The phenomenon of nonlinear resonance (sometimes called the "jump phenomenon") is examined and second-order van der Pol plane analysis is employed to indicate that this phenomenon is not a feature of the equation, but rather the result of accumulated round-off error, truncation error and algorithm error that distorts the true bounded solution onto…
Descriptors: Equations (Mathematics), Calculus, Error of Measurement, Problem Solving
Reardon, Sean F. – Education and the Public Interest Center, 2009
"How New York City's Charter Schools Affect Achievement" estimates the effects on student achievement of attending a New York City charter school rather than a traditional public school and investigates the characteristics of charter schools associated with the most positive effects on achievement. Because the report relies on an…
Descriptors: Charter Schools, Academic Achievement, Achievement Gains, Achievement Rating
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Ketterlin-Geller, Leanne R. – Remedial and Special Education, 2007
When accurately assigned and administered appropriately, testing accommodations help ameliorate the effects of personal characteristics that limit access to critical information and prevent a person from demonstrating his or her true abilities in the tested domain. Inaccurate assignment or misuse of accommodations may counteract the benefits of…
Descriptors: Testing Accommodations, Individualized Instruction, Individualized Education Programs, Error of Measurement
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Wang, Zhongmiao; Thompson, Bruce – Journal of Experimental Education, 2007
In this study the authors investigated the use of 5 (i.e., Claudy, Ezekiel, Olkin-Pratt, Pratt, and Smith) R[squared] correction formulas with the Pearson r[squared]. The authors estimated adjustment bias and precision under 6 x 3 x 6 conditions (i.e., population [rho] values of 0.0, 0.1, 0.3, 0.5, 0.7, and 0.9; population shapes normal, skewness…
Descriptors: Effect Size, Correlation, Mathematical Formulas, Monte Carlo Methods
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Little, Todd D.; Bovaird, James A.; Widaman, Keith F. – Structural Equation Modeling: A Multidisciplinary Journal, 2006
The goals of this article are twofold: (a) briefly highlight the merits of residual centering for representing interaction and powered terms in standard regression contexts (e.g., Lance, 1988), and (b) extend the residual centering procedure to represent latent variable interactions. The proposed method for representing latent variable…
Descriptors: Interaction, Structural Equation Models, Evaluation Methods, Regression (Statistics)
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Hertzog, Christopher; Lindenberger, Ulman; Ghisletta, Paolo; Oertzen, Timo von – Psychological Methods, 2006
We evaluated the statistical power of single-indicator latent growth curve models (LGCMs) to detect correlated change between two variables (covariance of slopes) as a function of sample size, number of longitudinal measurement occasions, and reliability (measurement error variance). Power approximations following the method of Satorra and Saris…
Descriptors: Multivariate Analysis, Models, Sample Size, Reliability
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Fan, Weihua; Hancock, Gregory R. – Educational and Psychological Measurement, 2006
In the common two-step structural equation modeling process, modifications are routinely made to the measurement portion of the model prior to assessing structural relations. The effect of such measurement model modifications on the structural parameter estimates, however, is not well known and is the subject of the current investigation. For a…
Descriptors: Error of Measurement, Evaluation Methods, Monte Carlo Methods, Sample Size
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Lee, Won-Chan; Brennan, Robert L.; Kolen, Michael J. – Journal of Educational and Behavioral Statistics, 2006
Assuming errors of measurement are distributed binomially, this article reviews various procedures for constructing an interval for an individual's true number-correct score; presents two general interval estimation procedures for an individual's true scale score (i.e., normal approximation and endpoints conversion methods); compares various…
Descriptors: Probability, Intervals, Guidelines, Computer Simulation
Booker, Kevin; Isenberg, Eric – Mathematica Policy Research, Inc., 2008
New Leaders for New Schools, a non-profit organization committed to training high-quality urban public school principals, received grants from the U.S. Department of Education in 2006 and 2007 to support the development of innovative teacher compensation strategies. New Leaders is partnering with four urban school districts and a consortium of…
Descriptors: Urban Schools, Charter Schools, Teacher Effectiveness, Academic Achievement
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Vehrs, Pat R.; George, James D.; Fellingham, Gilbert W.; Plowman, Sharon A.; Dustman-Allen, Kymberli – Measurement in Physical Education and Exercise Science, 2007
This study was designed to develop a single-stage submaximal treadmill jogging (TMJ) test to predict VO[subscript 2]max in fit adults. Participants (N = 400; men = 250 and women = 150), ages 18 to 40 years, successfully completed a maximal graded exercise test (GXT) at 1 of 3 laboratories to determine VO[subscript 2]max. The TMJ test was completed…
Descriptors: Metabolism, Body Composition, Physical Activities, Physical Fitness
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Cowell, William R. – 1991
A series of computer programs was written for computing the conditional standard errors of measurement (CSEM) for both rights-scored and formula-scored tests based on a method suggested by F. M. Lord (1984), commonly known as Lord's Method IV or the compound binomial method. These programs estimate the CSEM for both raw and scaled scores, average…
Descriptors: College Entrance Examinations, Error of Measurement, Estimation (Mathematics), Higher Education
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