Description: Applied Ordinal Logistic Regression Using StataFrom Single-Level to Multilevel Modeling Author(s): Xing Liu Format: Paperback Publisher: SAGE Publications Inc, United States Imprint: SAGE Publications Inc ISBN-13: 9781483319759, 978-1483319759 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 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.? An open-access website for the book contains data sets, Stata code, and answers to in-text questions.
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Location: Aldershot
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Book Title: Applied Ordinal Logistic Regression Using Stata
Number of Pages: 552 Pages
Language: English
Publication Name: Applied Ordinal Logistic Regression Using Stata: from Single-Level to Multilevel Modeling
Publisher: SAGE Publications INC International Concepts
Publication Year: 2015
Item Height: 231 mm
Item Weight: 810 g
Type: Textbook
Author: Xing Liu
Subject Area: Social Research
Item Width: 187 mm
Format: Paperback