The Effect of Fitting a Unidimensional IRT Model to Multidimensional Data in Content-balanced Computerized Adaptive Testing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Effect of Fitting a Unidimensional IRT Model to Multidimensional Data in Content-balanced Computerized Adaptive Testing write by Tian Song. This book was released on 2010. The Effect of Fitting a Unidimensional IRT Model to Multidimensional Data in Content-balanced Computerized Adaptive Testing available in PDF, EPUB and Kindle. This study investigates the effect of fitting a unidimensional irt model to multidimensional data in content-balanced computerized adaptive testing (cat). Unconstrained cat with the maximum information item selection method is chosen as the baseline, and the performances of three content balancing procedures, the constrained cat (ccat), the modified multinomial model (mmm), and the modified constrained cat (mccat), are evaluated in terms of measurement precision, item pool utilization and item exposure control. Three simulation factors are considered: (1) multidimensional structure; (2) ability distribution; and (3) difficulty level of content areas. Simulation results show that overall the content balancing methods are similar to or even better than the maximum information method in terms of measurement precision, especially when the content areas have uneven difficulty levels. However, there is no significant difference in item pool usage and item exposure control. Finally, overall the three content balancing methods perform very similarly, but mmm has the most efficient item pool usage. [The dissertation citations contained here are published with the permission of ProQuest llc. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.].
Multidimensional Item Response Theory
Multidimensional Item Response Theory - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multidimensional Item Response Theory write by M.D. Reckase. This book was released on 2009-07-07. Multidimensional Item Response Theory available in PDF, EPUB and Kindle. First thorough treatment of multidimensional item response theory Description of methods is supported by numerous practical examples Describes procedures for multidimensional computerized adaptive testing
Computerized Adaptive and Multistage Testing with R
Computerized Adaptive and Multistage Testing with R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computerized Adaptive and Multistage Testing with R write by David Magis. This book was released on 2017-11-23. Computerized Adaptive and Multistage Testing with R available in PDF, EPUB and Kindle. The goal of this guide and manual is to provide a practical and brief overview of the theory on computerized adaptive testing (CAT) and multistage testing (MST) and to illustrate the methodologies and applications using R open source language and several data examples. Implementation relies on the R packages catR and mstR that have been already or are being developed by the first author (with the team) and that include some of the newest research algorithms on the topic. The book covers many topics along with the R-code: the basics of R, theoretical overview of CAT and MST, CAT designs, CAT assembly methodologies, CAT simulations, catR package, CAT applications, MST designs, IRT-based MST methodologies, tree-based MST methodologies, mstR package, and MST applications. CAT has been used in many large-scale assessments over recent decades, and MST has become very popular in recent years. R open source language also has become one of the most useful tools for applications in almost all fields, including business and education. Though very useful and popular, R is a difficult language to learn, with a steep learning curve. Given the obvious need for but with the complex implementation of CAT and MST, it is very difficult for users to simulate or implement CAT and MST. Until this manual, there has been no book for users to design and use CAT and MST easily and without expense; i.e., by using the free R software. All examples and illustrations are generated using predefined scripts in R language, available for free download from the book's website.
Assessing Measurement Invariance for Applied Research
Assessing Measurement Invariance for Applied Research - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Assessing Measurement Invariance for Applied Research write by Craig S. Wells. This book was released on 2021-06-03. Assessing Measurement Invariance for Applied Research available in PDF, EPUB and Kindle. This user-friendly guide illustrates how to assess measurement invariance using computer programs, statistical methods, and real data.
Elements of Adaptive Testing
Elements of Adaptive Testing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Elements of Adaptive Testing write by Wim J. van der Linden. This book was released on 2010-03-10. Elements of Adaptive Testing available in PDF, EPUB and Kindle. The arrival of the computer in educational and psychological testing has led to the current popularity of adaptive testing---a testing format in which the computer uses statistical information about the test items to automatically adapt their selection to a real-time update of the test taker’s ability estimate. This book covers such key features of adaptive testing as item selection and ability estimation, adaptive testing with multidimensional abilities, sequencing adaptive test batteries, multistage adaptive testing, item-pool design and maintenance, estimation of item and item-family parameters, item and person fit, as well as adaptive mastery and classification testing. It also shows how these features are used in the daily operations of several large-scale adaptive testing programs.
