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de La Torre, Jimmy; Karelitz, Tzur M. – Journal of Educational Measurement, 2009
Compared to unidimensional item response models (IRMs), cognitive diagnostic models (CDMs) based on latent classes represent examinees' knowledge and item requirements using discrete structures. This study systematically examines the viability of retrofitting CDMs to IRM-based data with a linear attribute structure. The study utilizes a procedure…
Descriptors: Simulation, Item Response Theory, Psychometrics, Evaluation Methods
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Cook, Thomas D.; Steiner, Peter M.; Pohl, Steffi – Multivariate Behavioral Research, 2009
This study uses within-study comparisons to assess the relative importance of covariate choice, unreliability in the measurement of these covariates, and whether regression or various forms of propensity score analysis are used to analyze the outcome data. Two of the within-study comparisons are of the four-arm type, and many more are of the…
Descriptors: Statistical Bias, Reliability, Data Analysis, Regression (Statistics)
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Dawber, Teresa; Rogers, W. Todd; Carbonaro, Michael – Alberta Journal of Educational Research, 2009
Lord (1980) proposed formulas that provide direct relationships between IRT discrimination and difficulty parameters and conventional item statistics. The purpose of the present study was to determine the robustness of the formulas beyond the initial and restrictive conditions identified by Lord. Simulation and real achievement data were employed.…
Descriptors: Test Items, Simulation, Achievement Tests, Robustness (Statistics)
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Hoffman, Donna R. – PS: Political Science and Politics, 2009
It is often a difficult proposition for introductory American government students to comprehend different electoral systems and how the rules of the game affect the representation that results. I have developed a simulation in which different proportional-based electoral systems are compared with a single-member plurality electoral system. In…
Descriptors: Introductory Courses, Elections, Simulation, Political Science
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Reardon, Sean F.; Raudenbush, Stephen W. – Education Finance and Policy, 2009
The ability of school (or teacher) value-added models to provide unbiased estimates of school (or teacher) effects rests on a set of assumptions. In this article, we identify six assumptions that are required so that the estimands of such models are well defined and the models are able to recover the desired parameters from observable data. These…
Descriptors: School Effectiveness, Inferences, Educational Assessment, Measurement Techniques
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Brandon, Paul R.; Singh, J. Malkeet – American Journal of Evaluation, 2009
Considerable research has been conducted on the use of the findings of program evaluation, but little, if any, attention has been paid to the soundness of the methods of this research. If the methods are not sound or not well described in the research, the strength of the conclusions of the research is unknown. The authors examine the empirical…
Descriptors: Evaluators, Program Evaluation, Literature Reviews, Guidance
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Chan, Wai – Educational and Psychological Measurement, 2009
A typical question in multiple regression analysis is to determine if a set of predictors gives the same degree of predictor power in two different populations. Olkin and Finn (1995) proposed two asymptotic-based methods for testing the equality of two population squared multiple correlations, [rho][superscript 2][subscript 1] and…
Descriptors: Multiple Regression Analysis, Intervals, Correlation, Computation
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Shaffer, Tammy – Family Journal: Counseling and Therapy for Couples and Families, 2009
Schizophrenia and other serious mental illness hinder medication compliance. Clinicians are often challenged to increase clients' medication compliance, but lack the tools to enhance consistent treatment compliance. Counselor educators enhance their course instruction by offering a specific counseling tool to students. Those working directly with…
Descriptors: Mental Disorders, Counseling, Counselor Educators, Counselor Training
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Battaglia, O. R.; Bonura, A.; Sperandeo-Mineo, R. M. – European Journal of Physics, 2009
The Boltzmann factor is the basis of a huge amount of thermodynamic and statistical physics, both classical and quantum. It governs the behaviour of all systems in nature that are exchanging energy with their environment. To understand why the expression has this specific form involves a deep mathematical analysis, whose flow of logic is hard to…
Descriptors: Mechanics (Physics), Mathematical Formulas, Thermodynamics, Physics
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Goldman, Robert N.; McKenzie, John D. Jr. – Teaching Statistics: An International Journal for Teachers, 2009
We explain how to simulate both univariate and bivariate raw data sets having specified values for common summary statistics. The first example illustrates how to "construct" a data set having prescribed values for the mean and the standard deviation--for a one-sample t test with a specified outcome. The second shows how to create a bivariate data…
Descriptors: Correlation, Equated Scores, Statistical Analysis, Weighted Scores
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Loui, Michael C. – Bulletin of Science, Technology & Society, 2009
In a small course on technology and society, students participated in an extended role-play simulation for two weeks. Each student played a different adult character in a fictional community, which faces technological decisions in three scenarios set in the near future. The three scenarios involved stem cell research, nanotechnology, and privacy.…
Descriptors: Instructional Design, Role Playing, Simulation, Science and Society
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Puhan, Gautam; Moses, Timothy P.; Yu, Lei; Dorans, Neil J. – Journal of Educational Measurement, 2009
This study examined the extent to which log-linear smoothing could improve the accuracy of differential item functioning (DIF) estimates in small samples of examinees. Examinee responses from a certification test were analyzed using White examinees in the reference group and African American examinees in the focal group. Using a simulation…
Descriptors: Test Items, Reference Groups, Testing Programs, Raw Scores
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Rulison, Kelly L.; Loken, Eric – Applied Psychological Measurement, 2009
A difficult result to interpret in Computerized Adaptive Tests (CATs) occurs when an ability estimate initially drops and then ascends continuously until the test ends, suggesting that the true ability may be higher than implied by the final estimate. This study explains why this asymmetry occurs and shows that early mistakes by high-ability…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Response Theory, Academic Ability
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Laenen, Annouschka; Alonso, Ariel; Molenberghs, Geert; Vangeneugden, Tony – Psychometrika, 2009
Reliability captures the influence of error on a measurement and, in the classical setting, is defined as one minus the ratio of the error variance to the total variance. Laenen, Alonso, and Molenberghs ("Psychometrika" 73:443-448, 2007) proposed an axiomatic definition of reliability and introduced the R[subscript T] coefficient, a measure of…
Descriptors: Error of Measurement, Case Studies, Simulation, Reliability
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Ferrando, Pere J. – Structural Equation Modeling: A Multidisciplinary Journal, 2009
Most personality tests are made up of Likert-type items and analyzed by means of factor analysis (FA). In this type of application, the fit of the model at the level of individual respondents is almost never assessed. This article proposes procedures for assessing individual fit (scalability). The procedures are intended for the analysis of…
Descriptors: Personality, Factor Analysis, Personality Measures, Item Response Theory
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