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Benton, Stephen L.; Li, Dan – IDEA Center, Inc., 2018
This technical report describes the results of analyses performed on data collected from 2013 to 2017, using the IDEA Feedback System for Administrators (FSA). The FSA is used to gather impressions from core constituents about an administrator's performance of relevant administrative roles, as well as her/his leadership style, interpersonal…
Descriptors: Feedback (Response), Administrators, Administrator Attitudes, Administrator Role
Devlieger, Ines; Mayer, Axel; Rosseel, Yves – Educational and Psychological Measurement, 2016
In this article, an overview is given of four methods to perform factor score regression (FSR), namely regression FSR, Bartlett FSR, the bias avoiding method of Skrondal and Laake, and the bias correcting method of Croon. The bias correcting method is extended to include a reliable standard error. The four methods are compared with each other and…
Descriptors: Regression (Statistics), Comparative Analysis, Structural Equation Models, Monte Carlo Methods
Zu, Jiyun; Yuan, Ke-Hai – Journal of Educational Measurement, 2012
In the nonequivalent groups with anchor test (NEAT) design, the standard error of linear observed-score equating is commonly estimated by an estimator derived assuming multivariate normality. However, real data are seldom normally distributed, causing this normal estimator to be inconsistent. A general estimator, which does not rely on the…
Descriptors: Sample Size, Equated Scores, Test Items, Error of Measurement
Murphy, Daniel L.; Beretvas, S. Natasha; Pituch, Keenan A. – Structural Equation Modeling: A Multidisciplinary Journal, 2011
This simulation study examined the performance of the curve-of-factors model (COFM) when autocorrelation and growth processes were present in the first-level factor structure. In addition to the standard curve-of factors growth model, 2 new models were examined: one COFM that included a first-order autoregressive autocorrelation parameter, and a…
Descriptors: Sample Size, Simulation, Factor Structure, Statistical Analysis
Cai, Li; Monroe, Scott – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2014
We propose a new limited-information goodness of fit test statistic C[subscript 2] for ordinal IRT models. The construction of the new statistic lies formally between the M[subscript 2] statistic of Maydeu-Olivares and Joe (2006), which utilizes first and second order marginal probabilities, and the M*[subscript 2] statistic of Cai and Hansen…
Descriptors: Item Response Theory, Models, Goodness of Fit, Probability
Neiman, Samantha – National Center for Education Statistics, 2011
The National Center for Education Statistics collects data on crime and violence in U.S. public schools through the School Survey on Crime and Safety (SSOCS). This First Look report presents findings from the 2009-10 School Survey on Crime and Safety data collection. Developed and managed by the National Center for Education Statistics (NCES)…
Descriptors: Public Schools, Crime, Safety, School Surveys
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
Cui, Zhongmin; Kolen, Michael J. – Applied Psychological Measurement, 2008
This article considers two methods of estimating standard errors of equipercentile equating: the parametric bootstrap method and the nonparametric bootstrap method. Using a simulation study, these two methods are compared under three sample sizes (300, 1,000, and 3,000), for two test content areas (the Iowa Tests of Basic Skills Maps and Diagrams…
Descriptors: Test Length, Test Content, Simulation, Computation
Ferrao, Maria – Assessment & Evaluation in Higher Education, 2010
The Bologna Declaration brought reforms into higher education that imply changes in teaching methods, didactic materials and textbooks, infrastructures and laboratories, etc. Statistics and mathematics are disciplines that traditionally have the worst success rates, particularly in non-mathematics core curricula courses. This research project,…
Descriptors: Foreign Countries, Computer Assisted Testing, Educational Technology, Educational Assessment
Meek, Gary E.; Ozgur, Ceyhun O. – Decision Sciences Journal of Innovative Education, 2004
Introductory statistics texts give extensive coverage to two-sided inferences in hypothesis testing, interval estimation, and one-sided hypothesis tests. Very few discuss the possibility of one-sided interval estimation at all. Even fewer do so in any detail. Two of the business statistics texts we reviewed mentioned the possibility of dividing…
Descriptors: Introductory Courses, Statistics, Inferences, Hypothesis Testing
Basol-Gocmen, Gulsah; Kanyongo, Gibbs Y.; Blankson, Lydia – Online Submission, 2002
The purpose of this paper is to evaluate the use of MC2G program to teach certain topics in statistics education. MC2G is a program written in Pascal Delphi by Gordon Brooks of Ohio University based on Monte Carlo studies. MC2G provides students opportunity to practice important topics in an introductory statistics course, such as power, Type I…
Descriptors: Student Attitudes, Monte Carlo Methods, Computer Software, Effect Size
Wang, Wen-Chung; Chen, Cheng-Te – Educational and Psychological Measurement, 2005
This study investigates item parameter recovery, standard error estimates, and fit statistics yielded by the WINSTEPS program under the Rasch model and the rating scale model through Monte Carlo simulations. The independent variables were item response model, test length, and sample size. WINSTEPS yielded practically unbiased estimates for the…
Descriptors: Statistics, Test Length, Rating Scales, Item Response Theory

Press, S. James; Tanur, Judith M. – Evaluation Review, 1991
Relevance of the intersection of sociology, statistics, and public policy to the study of quality control in three family assistance programs--food stamps, Aid to Families with Dependent Children (AFDC), and Medicaid--is reviewed using a study by the National Academy of Sciences of methods for improving quality control systems. (SLD)
Descriptors: Error of Measurement, Estimation (Mathematics), Federal Aid, Federal Programs