Generalized Linear Models for Bounded and Limited Quantitative Variables (Paperback)

This book introduces researchers and students to the concepts and generalized linear models for analyzing quantitative random variables that have one or more bounds. Examples of bounded variables include the percentage of a population eligible to vote (bounded from 0 to 100), or reaction time in milliseconds (bounded below by 0). The human sciences deal in many variables that are bounded. Ignoring bounds can result in misestimation and improper statistical inference. Michael Smithson and Yiyun Shou's book brings together material on the analysis of limited and bounded variables that is scattered across the literature in several disciplines, and presents it in a style that is both more accessible and up-to-date. The authors provide worked examples in each chapter using real datasets from a variety of disciplines. The software used for the examples include R, SAS, and Stata. The data, software code, and detailed explanations of the example models are available on an accompanying website.

General

Imprint:	Sage Publications Ltd
Country of origin:	United States
Series:	Quantitative Applications in the Social Sciences
Release date:	December 2019
Authors:	Michael Smithson • Yiyun Shou
Dimensions:	215 x 139 x 12mm (L x W x T)
Format:	Paperback
Pages:	136
ISBN-13:	978-1-5443-3453-0
Categories:	Books > Reference & Interdisciplinary > Communication studies > Research methods Books > Social sciences > Sociology, social studies > Social research & statistics > General Books > Social sciences > Psychology > Psychological methodology > General
LSN:	1-5443-3453-2
Barcode:	9781544334530

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