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Margrett, Jennifer A.; Hsieh, Wen-Hua; Heinz, Melinda; Martin, Peter – International Journal of Aging and Human Development, 2012
Equivocal evidence exists regarding the degree of cognitive stability and prevalence of cognitive impairment in very late life. The objective of the current study was to examine mental status performance and change over time within a sample of Iowa centenarians. The baseline sample consisted of 152 community-dwelling and institutionalized…
Descriptors: Program Effectiveness, Error of Measurement, Older Adults, Cognitive Ability
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Yang, Ji Seung; Hansen, Mark; Cai, Li – Educational and Psychological Measurement, 2012
Traditional estimators of item response theory scale scores ignore uncertainty carried over from the item calibration process, which can lead to incorrect estimates of the standard errors of measurement (SEMs). Here, the authors review a variety of approaches that have been applied to this problem and compare them on the basis of their statistical…
Descriptors: Item Response Theory, Scores, Statistical Analysis, Comparative Analysis
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Magis, David; De Boeck, Paul – Educational and Psychological Measurement, 2012
The identification of differential item functioning (DIF) is often performed by means of statistical approaches that consider the raw scores as proxies for the ability trait level. One of the most popular approaches, the Mantel-Haenszel (MH) method, belongs to this category. However, replacing the ability level by the simple raw score is a source…
Descriptors: Test Bias, Data, Error of Measurement, Raw Scores
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Puhan, Gautam – Journal of Educational Measurement, 2012
Tucker and chained linear equatings were evaluated in two testing scenarios. In Scenario 1, referred to as rater comparability scoring and equating, the anchor-to-total correlation is often very high for the new form but moderate for the reference form. This may adversely affect the results of Tucker equating, especially if the new and reference…
Descriptors: Testing, Scoring, Equated Scores, Statistical Analysis
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Tong, Xin; Zhang, Zhiyong – Multivariate Behavioral Research, 2012
Growth curve models with different types of distributions of random effects and of intraindividual measurement errors for robust analysis are compared. After demonstrating the influence of distribution specification on parameter estimation, 3 methods for diagnosing the distributions for both random effects and intraindividual measurement errors…
Descriptors: Models, Robustness (Statistics), Statistical Analysis, Error of Measurement
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Kolen, Michael J.; Wang, Tianyou; Lee, Won-Chan – International Journal of Testing, 2012
Composite scores are often formed from test scores on educational achievement test batteries to provide a single index of achievement over two or more content areas or two or more item types on that test. Composite scores are subject to measurement error, and as with scores on individual tests, the amount of error variability typically depends on…
Descriptors: Mathematics Tests, Achievement Tests, College Entrance Examinations, Error of Measurement
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Voelkle, Manuel C.; Oud, Johan H. L.; von Oertzen, Timo; Lindenberger, Ulman – Structural Equation Modeling: A Multidisciplinary Journal, 2012
This article has 3 objectives that build on each other. First, we demonstrate how to obtain maximum likelihood estimates for dynamic factor models (the direct autoregressive factor score model) with arbitrary "T" and "N" by means of structural equation modeling (SEM) and compare the approach to existing methods. Second, we go beyond standard time…
Descriptors: Structural Equation Models, Maximum Likelihood Statistics, Computation, Factor Analysis
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Sachse, Karoline A.; Roppelt, Alexander; Haag, Nicole – Journal of Educational Measurement, 2016
Trend estimation in international comparative large-scale assessments relies on measurement invariance between countries. However, cross-national differential item functioning (DIF) has been repeatedly documented. We ran a simulation study using national item parameters, which required trends to be computed separately for each country, to compare…
Descriptors: Comparative Analysis, Measurement, Test Bias, Simulation
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Diemer, Matthew A.; Rapa, Luke J. – Child Development, 2016
This research examines the complex patterns by which distinct dimensions of critical consciousness may lead marginalized adolescents toward distinct forms of political action. Structural equation modeling was applied to nationally representative data from the Civic Education Study (2,811 ninth graders; M[subscript age] = 14.6), first establishing…
Descriptors: Adolescents, Disadvantaged, Social Action, Voting
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Ouazad, Amine – Education Finance and Policy, 2014
Do teachers assess same-race students more favorably? This paper uses nationally representative data on teacher assessments of student ability that can be compared with test scores to determine whether teachers give better assessments to same-race students. The data set follows students from kindergarten to grade 5, a period during which racial…
Descriptors: Race, Student Evaluation, Teacher Characteristics, Student Characteristics
Caro, Daniel H.; Sandoval-Hernández, Andrés; Lüdtke, Oliver – School Effectiveness and School Improvement, 2014
The article employs exploratory structural equation modeling (ESEM) to evaluate constructs of economic, cultural, and social capital in international large-scale assessment (LSA) data from the Progress in International Reading Literacy Study (PIRLS) 2006 and the Programme for International Student Assessment (PISA) 2009. ESEM integrates the…
Descriptors: Structural Equation Models, Cultural Capital, Social Capital, Economic Factors
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Klein, P.; Hirth, M.; Gröber, S.; Kuhn, J.; Müller, A. – Physics Education, 2014
Smartphones and tablets are used as experimental tools and for quantitative measurements in two traditional laboratory experiments for undergraduate physics courses. The Doppler effect is analyzed and the speed of sound is determined with an accuracy of about 5% using ultrasonic frequency and two smartphones, which serve as rotating sound emitter…
Descriptors: Science Instruction, Telecommunications, Handheld Devices, Educational Technology
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Zwick, Rebecca; Zapata-Rivera, Diego; Hegarty, Mary – Educational Assessment, 2014
Research has shown that many educators do not understand the terminology or displays used in test score reports and that measurement error is a particularly challenging concept. We investigated graphical and verbal methods of representing measurement error associated with individual student scores. We created four alternative score reports, each…
Descriptors: Error of Measurement, Scores, Reports, Comparative Analysis
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Morin, Alexandre J. S.; Marsh, Herbert W.; Nagengast, Benjamin; Scalas, L. Francesca – Journal of Experimental Education, 2014
Many classroom climate studies suffer from 2 critical problems: They (a) treat climate as a student-level (L1) variable in single-level analyses instead of a classroom-level (L2) construct in multilevel analyses; and (b) rely on manifest-variable models rather than on latent-variable models that control measurement error at L1 and L2, and sampling…
Descriptors: Classroom Environment, Hierarchical Linear Modeling, Structural Equation Models, Grade 5
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Schochet, Peter Z. – Society for Research on Educational Effectiveness, 2014
Randomized controlled trials (RCTs) are considered the "gold standard" for evaluating an intervention's effectiveness. Recently, the federal government has placed increased emphasis on the use of opportunistic experiments. A key criterion for conducting opportunistic experiments, however, is that there is relatively easy access to data…
Descriptors: Randomized Controlled Trials, Outcomes of Treatment, Intervention, Program Effectiveness
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