Kniha Applied Ordinal Logistic Regression Using Stata Xing Liu

Applied Ordinal Logistic Regression Using Stata

From Single-Level to Multilevel Modeling

Autor: Xing Liu
Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: Skladem u dodavatele
Odesíláme za 14-20 dnů
1 267
Categorical data are abundant in applied research (e.g. gender, ethnicity, socioeconomic status, edu...

Informace o knize

Autor
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2015
Stránek
552
EAN
9781483319759
ISBN
148331975X
Enbook ID
09276240
Hmotnost
1018
Rozměry
233 x 189 x 22

Kompletní popis

Categorical data are abundant in applied research (e.g. gender, ethnicity, socioeconomic status, educational attainment). Students and researchers are increasingly interested in performing statistical analyses on categorical data, particularly ordinal categorical response variables. However, a lack of experience in advanced statistical methods and unfamiliarity with statistical software packages can make such a task daunting. Applied Ordinal Logistic Regression Using Stata: From Single-Level to Multilevel Modeling is intended to provide readers with advanced techniques of analyzing ordinal response variables using the statistical package Stata. Xing Liu presents a comprehensive coverage of modern ordinal regression techniques from proportional odds models to complex multi-level models in a systematic way. It will be the first book on this topic providing a unified framework for both single-level and multi-level modeling of ordinal categorical data in a single text. The book provides step-by-step instructions on how to conduct ordinal logistic regression analysis using Stata, how to interpret results from Stata output, and how to present the results in scholarly writing.

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