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DeMars, Christine E.; Lau, Abigail – Educational and Psychological Measurement, 2011
There is a long history of differential item functioning (DIF) detection methods for known, manifest grouping variables, such as sex or ethnicity. But if the experiences or cognitive processes leading to DIF are not perfectly correlated with the manifest groups, it would be more informative to uncover the latent groups underlying DIF. The use of…
Descriptors: Test Bias, Accuracy, Item Response Theory, Models
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Huang, Sheau-Ling; Hsieh, Ching-Lin; Lin, Jau-Hong; Chen, Hui-Mei – International Journal of Rehabilitation Research, 2011
The purpose of this study was to determine the optimal scoring methods for measuring strength of the more-affected hand in patients with stroke by examining the effect of reducing measurement errors. Three hand-strength tests of grip, palmar pinch, and lateral pinch were administered at two sessions in 56 patients with stroke. Five scoring methods…
Descriptors: Patients, Scoring, Error of Measurement, Neurological Impairments
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Glavin, Kevin W.; Savickas, Mark L. – Journal of Vocational Behavior, 2011
Based on the standard error of measurement, Holland (1985) suggested the "rule of eight" for determining the meaningfulness of differences between two summary scores on the Self Directed Search. The present study empirically examined the rule's validity for practice. The participants were 2397 (1497 females and 900 males) undergraduate…
Descriptors: Undergraduate Students, Validity, Error of Measurement, Higher Education
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Puhan, Gautam – Journal of Educational Measurement, 2011
The impact of log-linear presmoothing on the accuracy of small sample chained equipercentile equating was evaluated under two conditions. In the first condition the small samples differed randomly in ability from the target population. In the second condition the small samples were systematically different from the target population. Results…
Descriptors: Equated Scores, Data Analysis, Sample Size, Accuracy
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Raykov, Tenko – Structural Equation Modeling: A Multidisciplinary Journal, 2011
Interval estimation of intraclass correlation coefficients in hierarchical designs is discussed within a latent variable modeling framework. A method accomplishing this aim is outlined, which is applicable in two-level studies where participants (or generally lower-order units) are clustered within higher-order units. The procedure can also be…
Descriptors: Correlation, Models, Vertical Organization, Predictor Variables
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Oud, Johan H. L.; Folmer, Henk – Multivariate Behavioral Research, 2011
This article addresses modeling oscillation in continuous time. It criticizes Steele and Ferrer's article "Latent Differential Equation Modeling of Self-Regulatory and Coregulatory Affective Processes" (2011), particularly the approximate estimation procedure applied. This procedure is the latent version of the local linear approximation procedure…
Descriptors: Structural Equation Models, Computation, Calculus, Simulation
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Taylor, Melinda Ann; Pastor, Dena A. – Applied Measurement in Education, 2013
Although federal regulations require testing students with severe cognitive disabilities, there is little guidance regarding how technical quality should be established. It is known that challenges exist with documentation of the reliability of scores for alternate assessments. Typical measures of reliability do little in modeling multiple sources…
Descriptors: Generalizability Theory, Alternative Assessment, Test Reliability, Scores
Lin, Johnny Cheng-Han – ProQuest LLC, 2013
Many methods exist for imputing missing data but fewer methods have been proposed to test the missing data mechanism. Little (1988) introduced a multivariate chi-square test for the missing completely at random data mechanism (MCAR) that compares observed means for each pattern with expectation-maximization (EM) estimated means. As an alternative,…
Descriptors: Data Analysis, Statistical Inference, Error of Measurement, Probability
Cheema, Jehanzeb – ProQuest LLC, 2012
This study looked at the effect of a number of factors such as the choice of analytical method, the handling method for missing data, sample size, and proportion of missing data, in order to evaluate the effect of missing data treatment on accuracy of estimation. In order to accomplish this a methodological approach involving simulated data was…
Descriptors: Educational Research, Educational Researchers, Statistical Analysis, Sample Size
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Raymond, Mark R.; Swygert, Kimberly A.; Kahraman, Nilufer – Advances in Health Sciences Education, 2012
Examinees who initially fail and later repeat an SP-based clinical skills exam typically exhibit large score gains on their second attempt, suggesting the possibility that examinees were not well measured on one of those attempts. This study evaluates score precision for examinees who repeated an SP-based clinical skills test administered as part…
Descriptors: Evidence, Generalizability Theory, Error of Measurement, Clinical Experience
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Tsaousis, Ioannis; Mascha, Katerina; Giovazolias, Theodoros – Child Psychiatry and Human Development, 2012
This study examined the factorial structure of the Parental Bonding Instrument (PBI) in the Greek population. Using confirmatory factor analysis different proposed models of the basic dimensions of PBI were evaluated. The results indicated that Kendler's three-factor (i.e. care, protectiveness and authoritarianism) solution was found to be more…
Descriptors: Factor Structure, Parent Child Relationship, Factor Analysis, Attachment Behavior
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Pan, Tianshu; Yin, Yue – Psychological Methods, 2012
In the discussion of mean square difference (MSD) and standard error of measurement (SEM), Barchard (2012) concluded that the MSD between 2 sets of test scores is greater than 2(SEM)[superscript 2] and SEM underestimates the score difference between 2 tests when the 2 tests are not parallel. This conclusion has limitations for 2 reasons. First,…
Descriptors: Error of Measurement, Geometric Concepts, Tests, Structural Equation Models
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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
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Mayer, Axel; Steyer, Rolf; Mueller, Horst – Structural Equation Modeling: A Multidisciplinary Journal, 2012
We present a 3-step approach to defining latent growth components. In the first step, a measurement model with at least 2 indicators for each time point is formulated to identify measurement error variances and obtain latent variables that are purged from measurement error. In the second step, we use contrast matrices to define the latent growth…
Descriptors: Statistical Analysis, Measurement, Structural Equation Models, Error of Measurement
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Asil, Mustafa; Brown, Gavin T. L. – International Journal of Testing, 2016
The use of the Programme for International Student Assessment (PISA) across nations, cultures, and languages has been criticized. The key criticisms point to the linguistic and cultural biases potentially underlying the design of reading comprehension tests, raising doubts about the legitimacy of comparisons across economies. Our research focused…
Descriptors: Comparative Analysis, Reading Achievement, Achievement Tests, Secondary School Students
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