Using a Projection Method to Estimate Subscores from Tests with Multidimensional Structures - 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 Using a Projection Method to Estimate Subscores from Tests with Multidimensional Structures write by Yu Fang. This book was released on 2008. Using a Projection Method to Estimate Subscores from Tests with Multidimensional Structures available in PDF, EPUB and Kindle.
The Effect of Fitting a Unidimensional IRT Model to Multidimensional Data in Content-balanced Computerized Adaptive Testing
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.].
Dissertation Abstracts International
Dissertation Abstracts International - 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 Dissertation Abstracts International write by . This book was released on 2009-08. Dissertation Abstracts International available in PDF, EPUB and Kindle.
Modern Psychometrics with R
Modern Psychometrics 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 Modern Psychometrics with R write by Patrick Mair. This book was released on 2018-09-20. Modern Psychometrics with R available in PDF, EPUB and Kindle. This textbook describes the broadening methodology spectrum of psychological measurement in order to meet the statistical needs of a modern psychologist. The way statistics is used, and maybe even perceived, in psychology has drastically changed over the last few years; computationally as well as methodologically. R has taken the field of psychology by storm, to the point that it can now safely be considered the lingua franca for statistical data analysis in psychology. The goal of this book is to give the reader a starting point when analyzing data using a particular method, including advanced versions, and to hopefully motivate him or her to delve deeper into additional literature on the method. Beginning with one of the oldest psychometric model formulations, the true score model, Mair devotes the early chapters to exploring confirmatory factor analysis, modern test theory, and a sequence of multivariate exploratory method. Subsequent chapters present special techniques useful for modern psychological applications including correlation networks, sophisticated parametric clustering techniques, longitudinal measurements on a single participant, and functional magnetic resonance imaging (fMRI) data. In addition to using real-life data sets to demonstrate each method, the book also reports each method in three parts-- first describing when and why to apply it, then how to compute the method in R, and finally how to present, visualize, and interpret the results. Requiring a basic knowledge of statistical methods and R software, but written in a casual tone, this text is ideal for graduate students in psychology. Relevant courses include methods of scaling, latent variable modeling, psychometrics for graduate students in Psychology, and multivariate methods in the social sciences.
Handbook of Educational Measurement and Psychometrics Using R
Handbook of Educational Measurement and Psychometrics Using 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 Handbook of Educational Measurement and Psychometrics Using R write by Christopher D. Desjardins. This book was released on 2018-09-03. Handbook of Educational Measurement and Psychometrics Using R available in PDF, EPUB and Kindle. Currently there are many introductory textbooks on educational measurement and psychometrics as well as R. However, there is no single book that covers important topics in measurement and psychometrics as well as their applications in R. The Handbook of Educational Measurement and Psychometrics Using R covers a variety of topics, including classical test theory; generalizability theory; the factor analytic approach in measurement; unidimensional, multidimensional, and explanatory item response modeling; test equating; visualizing measurement models; measurement invariance; and differential item functioning. This handbook is intended for undergraduate and graduate students, researchers, and practitioners as a complementary book to a theory-based introductory or advanced textbook in measurement. Practitioners and researchers who are familiar with the measurement models but need to refresh their memory and learn how to apply the measurement models in R, would find this handbook quite fulfilling. Students taking a course on measurement and psychometrics will find this handbook helpful in applying the methods they are learning in class. In addition, instructors teaching educational measurement and psychometrics will find our handbook as a useful supplement for their course.
