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Deke, John; Finucane, Mariel; Thal, Daniel – National Center for Education Evaluation and Regional Assistance, 2022
BASIE is a framework for interpreting impact estimates from evaluations. It is an alternative to null hypothesis significance testing. This guide walks researchers through the key steps of applying BASIE, including selecting prior evidence, reporting impact estimates, interpreting impact estimates, and conducting sensitivity analyses. The guide…
Descriptors: Bayesian Statistics, Educational Research, Data Interpretation, Hypothesis Testing
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Blackwell, Matthew; Honaker, James; King, Gary – Sociological Methods & Research, 2017
Although social scientists devote considerable effort to mitigating measurement error during data collection, they often ignore the issue during data analysis. And although many statistical methods have been proposed for reducing measurement error-induced biases, few have been widely used because of implausible assumptions, high levels of model…
Descriptors: Error of Measurement, Monte Carlo Methods, Data Collection, Simulation
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Choi, Youn-Jeng; Asilkalkan, Abdullah – Measurement: Interdisciplinary Research and Perspectives, 2019
About 45 R packages to analyze data using item response theory (IRT) have been developed over the last decade. This article introduces these 45 R packages with their descriptions and features. It also describes possible advanced IRT models using R packages, as well as dichotomous and polytomous IRT models, and R packages that contain applications…
Descriptors: Item Response Theory, Data Analysis, Computer Software, Test Bias
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Blackwell, Matthew; Honaker, James; King, Gary – Sociological Methods & Research, 2017
We extend a unified and easy-to-use approach to measurement error and missing data. In our companion article, Blackwell, Honaker, and King give an intuitive overview of the new technique, along with practical suggestions and empirical applications. Here, we offer more precise technical details, more sophisticated measurement error model…
Descriptors: Error of Measurement, Correlation, Simulation, Bayesian Statistics
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Finch, Holmes; Monahan, Patrick – Applied Measurement in Education, 2008
This article introduces a bootstrap generalization to the Modified Parallel Analysis (MPA) method of test dimensionality assessment using factor analysis. This methodology, based on the use of Marginal Maximum Likelihood nonlinear factor analysis, provides for the calculation of a test statistic based on a parametric bootstrap using the MPA…
Descriptors: Monte Carlo Methods, Factor Analysis, Generalization, Methods
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de la Torre, Jimmy – Applied Psychological Measurement, 2008
Recent work has shown that multidimensionally scoring responses from different tests can provide better ability estimates. For educational assessment data, applications of this approach have been limited to binary scores. Of the different variants, the de la Torre and Patz model is considered more general because implementing the scoring procedure…
Descriptors: Markov Processes, Scoring, Data Analysis, Item Response Theory
Kaiser, Javaid – 1983
A simulation study was conducted to identify the best hot-deck variation to impute missing values. The three variations included in the study were the hot-deck random, the hot-deck sequential, and the hot-deck distance. The properties of these methods were investigated under three levels of the proportion of incomplete records and four levels…
Descriptors: Correlation, Estimation (Mathematics), Matrices, Multivariate Analysis
Thissen, David; Wainer, Howard – 1984
Simulation studies of the performance of (potentially) robust statistical estimation produce large quantities of numbers in the form of performance indices of the various estimators under various conditions. This report presents a multivariate graphical display used to aid in the digestion of the plentiful results in a current study of Item…
Descriptors: Computer Software, Data Interpretation, Estimation (Mathematics), Graphs
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O'Connor, John – Information Processing and Management, 1986
Explains an experiment in text-searching retrieval for cancer questions which developed and used computer procedures (via human simulation) to select search words from medical dictionaries. This study is based on an earlier one in which search words were humanly selected, and the recall results of the two studies are compared. (Author/LRW)
Descriptors: Cancer, Comparative Analysis, Data Processing, Dictionaries
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Cooper, David; Lynch, Michael F. – Information Processing and Management, 1984
Suggests new method of external distribution called tree partitioning that involves use of binary tree to split incoming file into successively smaller partitions for internal sorting. Number of disc accesses during a tree-partitioning sort were calculated in simulation using files extracted from British National Bibliography catalog files. (19…
Descriptors: Classification, Comparative Analysis, Computer Software, Data Processing
Ludlow, Larry H. – 1984
The purpose of this research is to demonstrate that a systematic approach to the graphical analysis of Rasch model residuals can lead to an increased understanding of ordered response data, and that residual patterns do change in predictable ways, and that summary statistics need not be the only piece of evidence for assuring the fit between model…
Descriptors: Data Analysis, Evaluation Methods, Goodness of Fit, Latent Trait Theory
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Birdsall, Nancy; Meesook, Oey Astra – Economics of Education Review, 1986
Data from the 1970 Brazilian Census are used to explore the effects of parents' investments in their children's education on the pattern of future income distribution and on the intergenerational transmission of inequality, using a simulation model. Appended are 21 references. (Author)
Descriptors: Academic Achievement, Access to Education, Educational Mobility, Family Income
Reckase, Mark D.; McKinley, Robert L. – 1982
This paper reviews the existing multidimensional item response theory (IRT) models and demonstrates how one of the models can be applied to estimation of abilities from a test measuring more than one dimension. The purposes of this paper were threefold. First, the fundamental concepts required when considering multidimensional models for the…
Descriptors: Estimation (Mathematics), Higher Education, Latent Trait Theory, Mathematical Models
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Butler, Richard J.; And Others – Simulation and Games, 1988
Designed to determine whether research in simulation and gaming follows research design methodology and the degree to which research is directed toward learning outcomes measured by Bloom's taxonomy of educational objectives, this article examines studies reported in proceedings from the Association for Business Simulation and Experiential…
Descriptors: Educational Objectives, Game Theory, Learning Theories, Literature Reviews
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Cunningham, J. Barton – Simulation and Games, 1984
Clarifies appropriateness of certain simulation approaches by distinguishing between different types of simulations--experimental, predictive, evaluative, and educational--on the basis of purpose, assumptions, procedures, and criteria for evaluating. The kinds of questions each type best responds to are discussed. (65 references) (MBR)
Descriptors: Classification, Comparative Analysis, Design Requirements, Educational Games
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