Applied Ordinal Logistic Regressi Using Stata: From Single-Level to Multilevel Modeling (Record no. 1849)

MARC details
000 -LEADER
fixed length control field 02433 a2200205 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20191204113318.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191204b ||||| |||| 00| 0 eng d
020 0# - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781483319759
040 ## - CATALOGING SOURCE
Transcribing agency IIMV
082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.535 LIU
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Xing Liu
Relator term Author
9 (RLIN) 1389
245 0# - TITLE STATEMENT
Title Applied Ordinal Logistic Regressi Using Stata: From Single-Level to Multilevel Modeling
Statement of responsibility, etc. by Xing Liu
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Sage
Place of publication, distribution, etc. New Delhi
Date of publication, distribution, etc. 2016
300 ## - PHYSICAL DESCRIPTION
Extent xxiv, 523 pages;
Other physical details Illustrations:
Dimensions 25 cm.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Stata Basics <br/>Introduction to Stata<br/> <br/>Data Management<br/> <br/>Graphs<br/> <br/>A Summary of Stata Commands in this Chapter<br/> <br/>Exercises<br/> <br/> 2. Review of Basic Statistics <br/>Understand Your Data Using Descriptive Statistics<br/> <br/>Descriptive Statistics for Continuous Variables Using Stata<br/> <br/>Frequency Distribution for Categorical Variables Using Stata<br/> <br/>Independent Samples t-test Using Stata<br/> <br/>Paired Samples t-test<br/> <br/>Analysis of Variance (ANOVA)<br/> <br/>Correlation<br/> <br/>Simple Linear Regression<br/> <br/>Multiple Linear Regression<br/> <br/>Chi-Square Test<br/> <br/>Making Publication-Quality Tables Using Stata<br/> <br/>General Guidelines for Reporting Resutls<br/> <br/>A Summary of Stata Commands in this Chapter<br/> <br/>Exercises<br/> <br/> 3. Logistic Regression for Binary Data <br/>Logistic Regression Models: An Introduction<br/> <br/>Research Example and Description of the Data and Sample<br/> <br/>Logistic Regression with Stata: Commands and Output<br/> <br/>Summary of Stata Commands in this Chapter<br/> <br/>Exercises<br/> <br/> 4. Proportional Odds Models for Ordinal Response Variables <br/>Proportional Odds Models: An Introduction<br/> <br/>Research Example and Description of the Data and Sample<br/> <br/>Proportional Odds Models with Stata: Commands and Output<br/> <br/>Summary of Stata Commands in this Chapter<br/> <br/>Exercises
520 3# - SUMMARY, ETC.
Summary, etc. 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.
650 0# - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics
9 (RLIN) 1390
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Non-fiction Indian Institute of Management Visakhapatnam Indian Institute of Management Visakhapatnam General Stacks 12/03/2019 9 3.00   519.535 LIU 001284 12/03/2019 4998.20 12/03/2019 Book

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