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

Liu, Xing

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

Sinossi

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. 

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Informazioni sull?autore

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.

Dalla quarta di copertina

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

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
SAGE Publications, Inc
Data di pubblicazione
2015
Lingua
Inglese
ISBN 10 
148331975X
ISBN 13 
9781483319759
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
552
Contatto del produttore
non disponibile
Persona responsabile
non disponibile