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A Course in Item Response Theory and Modeling with Stata

, differential item functioning, and an introduction to multidimensional IRT and IRM. The pertinent analytic and modeling capabilities of Stata are;

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Item Response Theory

multidimensional IRT models, including item parameter estimation with binary and polytomous data * Analysis of dimensionality, differential item;

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Differential Item Functioning

Test fairness is a moral imperative for both the makers and the users of tests. This book focuses on methods for detecting test items that;

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Statistical Analysis of Questionnaires

nonparametric tests, and differential item functioning. Stata and R software codes are included for each method. To enhance comprehension, the book;

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Handbook of Educational Measurement and Psychometrics Using R

invariance; and differential item functioning. This handbook is intended for undergraduate and graduate students, researchers, and practitioners;

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Handbook of Educational Measurement and Psychometrics Using R

differential item functioning. This handbook is intended for undergraduate and graduate students, researchers, and practitioners as a complementary;

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Statistical Analysis of Questionnaires

nonparametric tests, and differential item functioning. Stata and R software codes are included for each method. To enhance comprehension, the book;

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Differential Item Functioning

Test fairness is a moral imperative for both the makers and the users of tests. This book focuses on methods for detecting test items that;

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Advancing Human Assessment

response theory (IRT), linking and equating, differential item functioning (DIF), and educational surveys like the National Assessment;

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Educational Measurement for Applied Researchers

. Wherever possible, comparisons between models are explicitly made. In addition, the book discusses concepts for test equating and differential item;

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Handbook of Item Response Theory Modeling

-normality, as well as applied topics such as differential item functioning and multidimensional linking. Intended for researchers, advanced;

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Handbook of Item Response Theory Modeling

-normality, as well as applied topics such as differential item functioning and multidimensional linking. Intended for researchers, advanced;

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Introduction to Partial Differential Equations with Applications

This book has been widely acclaimed for its clear, cogent presentation of the theory of partial differential equations, and the;

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Season 1 U.S. Rsd 2015 Item U.S. RSD 2015 ITEM. Sawyer Sessions, CD

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Michael Jackson special collectors item.

Special en collectors item over de legendarische King of pop.;

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Effective C# (Covers C# 6.0)

code that's far easier to maintain and improve. Wagner shows how and why to Prefer implicitly typed local variables (see Item 1) Replace;

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Small Islands, Large Questions

"Recommended collection. For anthropological contributions see Berleant-Schiller on the shift from labor to peasantry in Montserrat (item;

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Nonlinear Control and Filtering Using Differential Flatness Approaches

This monograph presents recent advances in differential flatness theory and analyzes its use for nonlinear control and estimation. It shows;

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Applying Item Response Theory in Language Test Item Bank Building

Item Response Theory, though it has become a widely recognized tool in language testing research, is still not used frequently in practical;

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Live In Europe Only Ever Been Available As a Merchandise Item ONLY EVER BEEN AVAILABLE AS A MERCHANDISE ITEM. Focus, CD

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The Basics of Item Response Theory Using R

This graduate-level textbook is a tutorial for item response theory that covers both the basics of item response theory and the use of R;

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Developing and Validating Multiple-choice Test Items

This book is intended for anyone who is seriously interested in designing and validating multiple-choice test items that measure;

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The Basics of Item Response Theory Using R

This graduate-level textbook is a tutorial for item response theory that covers both the basics of item response theory and the use of R;

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Developing and Validating Multiple-choice Test Items

This book is intended for anyone who is seriously interested in designing and validating multiple-choice test items that measure;

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Latent Variable Modeling with R

response theory (both dichotomous and polytomous items), differential item functioning (DIF), and correspondance analysis. The book concludes with;

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Latent Variable Modeling with R

response theory (both dichotomous and polytomous items), differential item functioning (DIF), and correspondance analysis. The book concludes with;

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Elements of Adaptive Testing

format in which the computer uses statistical information about the test items to automatically adapt their selection to a real-time update;

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