Applied Ordinal Logistic Regression Using Stata: From Single-Level to Multilevel Modeling - Couverture souple

Liu, Xing

 
9781483319759: Applied Ordinal Logistic Regression Using Stata: From Single-Level to Multilevel Modeling
Couverture souple
ISBN 10 : 148331975X ISBN 13 : 9781483319759
Editeur : SAGE Publications, Inc, 2015

Synopsis

The first book to provide a unified framework for both single-level and multilevel modeling of ordinal categorical data, Applied Ordinal Logistic Regression Using Stata by Xing Liu helps readers learn how to conduct analyses, interpret the results from Stata output, and present those results in scholarly writing. Using step-by-step instructions, this non-technical, applied book leads students, applied researchers, and practitioners to a deeper understanding of statistical concepts by closely connecting the underlying theories of models with the application of real-world data using statistical software. 

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Xing Liu Ph.D., is a professor of educational research and assessment at Eastern Connecticut State University. He received his Ph.D. in measurement, evaluation, and assessment in the field of educational psychology from the University of Connecticut, Storrs. His interests include categorical data analysis, multilevel modeling, longitudinal data analysis, structural equation modeling, educational assessment, propensity score methods, data science, and Bayesian methods. He is the author of Applied Ordinal Logistic Regression Using Stata: From Single-Level to Multilevel Modeling (2016). His major publications focus on advanced statistical models. His articles have been recognized among the most popular papers published in the Journal of Modern Applied Statistical Methods (JMASM). Dr. Liu is the recipient of the Excellence Award in Creativity/Scholarship at Eastern Connecticut State University.

À propos de la quatrième de couverture

Provides a unified framework for both single-level and multilevel modeling of ordinal categorical data

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
SAGE Publications, Inc
Date d'édition
2015
Langue
anglais
ISBN 10 
148331975X
ISBN 13 
9781483319759
Reliure
Broché
Numéro d'édition
1
Nombre de pages
552
Coordonnées du fabricant
non disponible
Personne responsable
non disponible