Doubly Classified Model with R

Softcover Nachdruck of the original 1. Auflage 2017
ISBN: 978-981-13-4981-2
Verlag: Springer Nature Singapore

Buch, Englisch, 264 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 435 g

This book provides practical applications of doubly classified models by using R syntax to generate the models. It also presents these models in symbolic tables so as to cater to those who are not mathematically inclined, while numerous examples throughout the book illustrate the concepts and their applications. For those who are not aware of this modeling approach, it serves as a good starting point to acquire a basic understanding of doubly classified models. It is also a valuable resource for academics, postgraduate students, undergraduates, data analysts and researchers who are interested in examining square contingency tables.

Zielgruppe

Research

Autoren/Hrsg.

Tan, Teck Kiang

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen
• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

Introduction to R.- Basic Concepts.- Examining Symmetry of Doubly Classified Table.- Symmetry and Asymmetry Models.- Point-Symmetry Models.- Non-independence Models.- Symmetry + Independence Models.- Modeling Strategy.- Creating Square models.- Summary.

Über Autor(innen)

Dr Tan works as a research fellow in the Department of Research & Innovation Division, Institute for Adult Learning, Singapore. Teck Kiang completed his Ph.D. at the Nanyang Technological University, Singapore. He received a Bachelor of Accountancy degree, a Master of Science (Statistics) degree at the National University of Singapore and a Master of Accountancy degree at the Auckland University, New Zealand. He is currently a member of psychometric society. His research interests include school compositions and student’s performance, education mismatch, skills utilization, employment vulnerability, and job satisfaction. He shared his research and statistical interests through workshops conducted at conferences, at local universities with faculty members and graduate students, to adult learners, educators and researchers. He also conducted yearly workshop series to adult learners. The workshop topics he had covered include Introduction to R, R Programming, R Graphics, Doubly Classified Models, Multilevel Analysis, Propensity Score Analysis, Decision Trees, Sampling, Inter-rater Reliability and Item Response Theory. Teck Kiang has published numerous papers related to school and adult education. His recent useR! Conference 2015 presentation titled “Extending the quasi-symmetry model: Quasi symmetry with n degree” shared a series of newly derived quasi-symmetry models that generalize the quasi-symmetry model to explain the association of generic skills using doubly classified models. A recent written chapter on “The determinants of training participation, A multilevel approach: Evidence from PIAAC” examined the heterogeneity of covariates across 24 countries using multilevel random slope models.