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Marsh, Herbert W.; Muthen, Bengt; Asparouhov, Tihomir; Ludtke, Oliver; Robitzsch, Alexander; Morin, Alexandre J. S.; Trautwein, Ulrich – Structural Equation Modeling: A Multidisciplinary Journal, 2009
This study is a methodological-substantive synergy, demonstrating the power and flexibility of exploratory structural equation modeling (ESEM) methods that integrate confirmatory and exploratory factor analyses (CFA and EFA), as applied to substantively important questions based on multidimentional students' evaluations of university teaching…
Descriptors: Feedback (Response), Class Size, Structural Equation Models, Construct Validity
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Krishnakumar, Jaya; Nagar, A. L. – Social Indicators Research, 2008
Recent empirical literature has seen many multidimensional indices emerge as well-being or poverty measures, in particular indices derived from principal components and various latent variable models. Though such indices are being increasingly and widely employed, few studies motivate their use or report the standard errors or confidence intervals…
Descriptors: Intervals, Structural Equation Models, Factor Analysis, Computation
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Bonnett, Douglas G. – Psychological Methods, 2008
Most psychology journals now require authors to report a sample value of effect size along with hypothesis testing results. The sample effect size value can be misleading because it contains sampling error. Authors often incorrectly interpret the sample effect size as if it were the population effect size. A simple solution to this problem is to…
Descriptors: Intervals, Hypothesis Testing, Effect Size, Sampling
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Savalei, Victoria; Kolenikov, Stanislav – Psychological Methods, 2008
Recently, R. D. Stoel, F. G. Garre, C. Dolan, and G. van den Wittenboer (2006) reviewed approaches for obtaining reference mixture distributions for difference tests when a parameter is on the boundary. The authors of the present study argue that this methodology is incomplete without a discussion of when the mixtures are needed and show that they…
Descriptors: Structural Equation Models, Goodness of Fit, Evaluation Methods, Statistical Analysis
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Jackson, Margaret C.; Raymond, Jane E. – Journal of Experimental Psychology: Human Perception and Performance, 2008
Although it is intuitive that familiarity with complex visual objects should aid their preservation in visual working memory (WM), empirical evidence for this is lacking. This study used a conventional change-detection procedure to assess visual WM for unfamiliar and famous faces in healthy adults. Across experiments, faces were upright or…
Descriptors: Familiarity, Long Term Memory, Short Term Memory, Stimuli
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Pigott, Therese D.; Wu, Meng-Jia – Psychological Bulletin, 2008
In this comment on C. F. Bond and B. M. DePaulo, the authors raise methodological concerns about the approach used to analyze the data. The authors suggest further refinement of the procedures used, and they compare the approach taken by Bond and DePaulo with standard methods for meta-analysis. (Contains 1 table and 2 figures.)
Descriptors: Meta Analysis, Effect Size, Error of Measurement, Test Theory
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Iramaneerat, Cherdsak; Yudkowsky, Rachel; Myford, Carol M.; Downing, Steven M. – Advances in Health Sciences Education, 2008
An Objective Structured Clinical Examination (OSCE) is an effective method for evaluating competencies. However, scores obtained from an OSCE are vulnerable to many potential measurement errors that cases, items, or standardized patients (SPs) can introduce. Monitoring these sources of errors is an important quality control mechanism to ensure…
Descriptors: Generalizability Theory, Rating Scales, Quality Control, Patients
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Betebenner, Damian W.; Shang, Yi; Xiang, Yun; Zhao, Yan; Yue, Xiaohui – Journal of Educational Measurement, 2008
No Child Left Behind (NCLB) performance mandates, embedded within state accountability systems, focus school AYP (adequate yearly progress) compliance squarely on the percentage of students at or above proficient. The singular importance of this quantity for decision-making purposes has initiated extensive research into percent proficient as a…
Descriptors: Classification, Error of Measurement, Statistics, Reliability
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Ivanova, Masha Y.; Achenbach, Thomas M.; Rescorla, Leslie A.; Harder, Valerie S.; Ang, Rebecca P.; Bilenberg, Niels; Bjarnadottir, Gudrun; Capron, Christiane; De Pauw, Sarah S. W.; Dias, Pedro; Dobrean, Anca; Doepfner, Manfred; Duyme, Michele; Eapen, Valsamma; Erol, Nese; Esmaeili, Elaheh Mohammad; Ezpeleta, Lourdes; Frigerio, Alessandra; Goncalves, Miguel M.; Gudmundsson, Halldor S.; Jeng, Suh-Fang; Jetishi, Pranvera; Jusiene, Roma; Kim, Young-Ah; Kristensen, Solvejg; Lecannelier, Felipe; Leung, Patrick W. L.; Liu, Jianghong; Montirosso, Rosario; Oh, Kyung Ja; Plueck, Julia; Pomalima, Rolando; Shahini, Mimoza; Silva, Jaime R.; Simsek, Zynep; Sourander, Andre; Valverde, Jose; Van Leeuwen, Karla G.; Woo, Bernardine S. C.; Wu, Yen-Tzu; Zubrick, Stephen R.; Verhulst, Frank C. – Journal of the American Academy of Child & Adolescent Psychiatry, 2010
Objective: To test the fit of a seven-syndrome model to ratings of preschoolers' problems by parents in very diverse societies. Method: Parents of 19,106 children 18 to 71 months of age from 23 societies in Asia, Australasia, Europe, the Middle East, and South America completed the Child Behavior Checklist for Ages 1.5-5 (CBCL/1.5-5). Confirmatory…
Descriptors: Check Lists, Social Problems, Psychopathology, Child Behavior
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Rae, Gordon – Psychological Methods, 2007
The relationship between stratified alpha (alpha-sub(s)) and the reliability of a test composed of interrelated nonhomogeneous items is examined. It is mathematically demonstrated that when there is congeneric equivalence within the strata or subtests, the difference between the coefficients is a function of the variances of the loadings within…
Descriptors: Test Reliability, Test Items, Computation, Error of Measurement
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Woods, Carol M. – Psychological Methods, 2007
This research focused on confidence intervals (CIs) for 10 measures of monotonic association between ordinal variables. Standard errors (SEs) were also reviewed because more than 1 formula was available per index. For 5 indices, an element of the formula used to compute an SE is given that is apparently new. CIs computed with different SEs were…
Descriptors: Intervals, Computation, Measurement Techniques, Error of Measurement
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Martineau, Joseph A. – Applied Psychological Measurement, 2007
Rudner (2001, 2005) described an expected classification accuracy index for determining the asymptotic expectation of accuracy of classifications of examinees into score categories. This article expands on that exposition by evaluating the index as it is likely to be used in practice (as a point estimate of classification accuracy), provides a…
Descriptors: Classification, Error of Measurement, Sample Size, Measurement
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Steinley, Douglas – Psychometrika, 2007
Given that a minor condition holds (e.g., the number of variables is greater than the number of clusters), a nontrivial lower bound for the sum-of-squares error criterion in K-means clustering is derived. By calculating the lower bound for several different situations, a method is developed to determine the adequacy of cluster solution based on…
Descriptors: Multivariate Analysis, Least Squares Statistics, Error of Measurement, Psychometrics
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Tong, Ye; Brennan, Robert L. – Educational and Psychological Measurement, 2007
Estimating standard errors of estimated variance components has long been a challenging task in generalizability theory. Researchers have speculated about the potential applicability of the bootstrap for obtaining such estimates, but they have identified problems (especially bias) in using the bootstrap. Using Brennan's bias-correcting procedures…
Descriptors: Error of Measurement, Generalizability Theory, Computation, Simulation
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Solano-Flores, Guillermo; Li, Min – Educational Measurement: Issues and Practice, 2009
We addressed the challenge of scoring cognitive interviews in research involving multiple cultural groups. We interviewed 123 fourth- and fifth-grade students from three cultural groups to probe how they related a mathematics item to their personal lives. Item meaningfulness--the tendency of students to relate the content and/or context of an item…
Descriptors: Generalizability Theory, Scoring, Error of Measurement, Grade 5
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