Applied Ordinal Logistic Regression Using Stata

Name: Applied Ordinal Logistic Regression Using Stata
Brand: SAGE Publications Inc
SKU: 9781483319759
Price: 55.23 EUR
Availability: InStock

From Single-Level to Multilevel Modeling

Автор: Xing Liu

Език:

Корици: С меки корици

Издател: SAGE Publications Inc

Наличност: Външен склад

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55.23 € 108.02 лв

Categorical data are abundant in applied research (e.g. gender, ethnicity, socioeconomic status, edu...

Информация за книгата

Автор

Xing Liu

Език

Английски език

Корици

Книга - С меки корици

Издадена

2015

страници

552

EAN

9781483319759

ISBN

148331975X

Enbook ID

09276240

Издател

SAGE Publications Inc

Теглоt

1018

Размери

233 x 189 x 22

Пълно описание

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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Applied Ordinal Logistic Regression Using Stata

From Single-Level to Multilevel Modeling

Информация за книгата

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