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Fixed Effects Regression Models

Author: Paul D. Allison
Publisher: SAGE Publications
ISBN: 1483389278
Size: 33.41 MB
Format: PDF, ePub
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This book demonstrates how to estimate and interpret fixed-effects models in a variety of different modeling contexts: linear models, logistic models, Poisson models, Cox regression models, and structural equation models. Both advantages and disadvantages of fixed-effects models will be considered, along with detailed comparisons with random-effects models. Written at a level appropriate for anyone who has taken a year of statistics, the book is appropriate as a supplement for graduate courses in regression or linear regression as well as an aid to researchers who have repeated measures or cross-sectional data. Learn more about "The Little Green Book" - QASS Series! Click Here

Spatial Regression Models

Author: Michael D. Ward
Publisher: SAGE
ISBN: 1412954150
Size: 23.79 MB
Format: PDF
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Assuming no prior knowledge this book is geared toward social science readers, unlike other volumes on this topic. The text illustrates concepts using well known international, comparative, and national examples of spatial regression analysis. Each example is presented alongside relevant data and code, which is also available on a Web site maintained by the authors.

Multilevel Modeling

Author: Douglas A. Luke
Publisher: SAGE
ISBN: 9780761928799
Size: 57.35 MB
Format: PDF, Mobi
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A practical introduction to multi-level modelling, this book offers an introduction to HLM & illustrations of how to use this technique to build models for hierarchical & longitudinal data.

Causal Analysis With Panel Data

Author: Steven E. Finkel
Publisher: SAGE
ISBN: 9780803938960
Size: 20.51 MB
Format: PDF, Mobi
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Panel data — information gathered from the same individuals or units at several different points in time — are commonly used in the social sciences to test theories of individual and social change. This book highlights the developments in this technique in a range of disciplines and analytic traditions.

Interaction Effects In Multiple Regression

Author: James Jaccard
Publisher: SAGE Publications
ISBN: 1544332572
Size: 16.29 MB
Format: PDF, ePub
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Interaction Effects in Multiple Regression has provided students and researchers with a readable and practical introduction to conducting analyses of interaction effects in the context of multiple regression. The new addition will expand the coverage on the analysis of three way interactions in multiple regression analysis. Learn more about "The Little Green Book" - QASS Series! Click Here

Event History Analysis

Author: Paul D. Allison
Publisher: SAGE
ISBN: 9780803920552
Size: 35.43 MB
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Drawing on recent "event history" analytical methods from biostatistics, engineering, and sociology, this clear and comprehensive monograph explains how longitudinal data can be used to study the causes of deaths, crimes, wars, and many other human events. Allison shows why ordinary multiple regression is not suited to analyze event history data, and demonstrates how innovative regression - like methods can overcome this problem. He then discusses the particular new methods that social scientists should find useful.

Fixed Effects Regression Methods For Longitudinal Data Using Sas

Author: Paul D. Allison
Publisher: SAS Institute
ISBN: 9781590477786
Size: 69.19 MB
Format: PDF
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Fixed Effects Regression Methods for Longitudinal Data Using SAS, written by Paul Allison, is an invaluable resource for all researchers interested in adding fixed effects regression methods to their tool kit of statistical techniques. First introduced by economists, fixed effects methods are gaining widespread use throughout the social sciences. Designed to eliminate major biases from regression models with multiple observations (usually longitudinal) for each subject (usually a person), fixed effects methods essentially offer control for all stable characteristics of the subjects, even characteristics that are difficult or impossible to measure. This straightforward and thorough text shows you how to estimate fixed effects models with several SAS procedures that are appropriate for different kinds of outcome variables. The theoretical background of each model is explained, and the models are then illustrated with detailed examples using real data. The book contains thorough discussions of the following uses of SAS procedures: PROC GLM for estimating fixed effects linear models for quantitative outcomes, PROC LOGISTIC for estimating fixed effects logistic regression models, PROC PHREG for estimating fixed effects Cox regression models for repeated event data, PROC GENMOD for estimating fixed effects Poisson regression models for count data, and PROC CALIS for estimating fixed effects structural equation models. To gain the most benefit from this book, readers should be familiar with multiple linear regression, have practical experience using multiple regression on real data, and be comfortable interpreting the output from a regression analysis. An understanding of logistic regression and Poisson regression is a plus. Some experience with SAS is helpful, but not required. This book is part of the SAS Press program.

Practical Sampling

Author: Gary T. Henry
Publisher: SAGE Publications
ISBN: 1506320341
Size: 64.22 MB
Format: PDF, ePub
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Practical Sampling provides guidance for researchers dealing with the everyday problems of sampling. Using the practical design approach Henry integrates sampling into the overall research design and explains the interrelationships between research and sampling choices. The style is concise and narrative; mathematical presentations are limited to necessary formulas; and calculations are kept to the absolute minimum, making it very approachable for any researcher.

Missing Data

Author: Paul D. Allison
Publisher: SAGE Publications
ISBN: 1452207909
Size: 80.27 MB
Format: PDF, ePub
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Using numerous examples and practical tips, this book offers a nontechnical explanation of the standard methods for missing data (such as listwise or casewise deletion) as well as two newer (and, better) methods, maximum likelihood and multiple imputation. Anyone who has relied on ad-hoc methods that are statistically inefficient or biased will find this book a welcome and accessible solution to their problems with handling missing data.

Institutions Count

Author: Alejandro Portes
Publisher: Univ of California Press
ISBN: 0520273532
Size: 60.34 MB
Format: PDF, ePub, Mobi
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"Institutions Count is an impressively collaborative project and a valuable contribution, both for its lucid presentation of case study data across countries and cultures as well as its new insights to the roles institutions play in national development." —Bryan R. Roberts, Professor of Sociology at the University of Texas, Austin "Institutions Count by Portes and Smith is a significant addition to studies of institutions as well as studies of development. The main contributions include a clarification of the concept of institutions; an impeccable methodology for the empirical analysis of five institutions in five developing countries; and an innovative, comparative analysis of the outcomes of the individual studies. It is to be recommended to scholars across the social sciences who are frustrated by the lack of rigor in the existing literature on the increasingly popular topic of institutions."—Barbara Stallings, Wm. R. Rhodes Research Professor, Brown University